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TV White Spaces

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TV White Spaces refer to the unused broadcasting frequencies in the television spectrum, which can be utilized for wireless communication. These frequencies are typically found between active TV channels and can support various applications, including broadband internet access, while minimizing interference with existing television broadcasts.
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Las técnicas Cognitive Radio y Software Defined Radio en las comunicaciones rurales: la recomendación IEEE 802.22
by Antonio Roberto Foti

2025

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Systematic analysis of geo-location and spectrum sensing as access methods to TV white space
by Antoine Bagula

2024, 2016 ITU Kaleidoscope: ICTs for a Sustainable World (ITU WT)

Access to the television white space by white space devices comes with a major technical challenge: white space devices can interfere with existing television signals. Two methods have been suggested in the literature to help white space... more
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Exploring TV White Spaces for Use in Campus Networks
by Antoine Bagula

2024, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

University campuses are busy places for wireless client traffic coming from Wi-Fi connections and other wireless devices that contend for the 2.4 GHz frequencies space that most campus Wi-Fi networks use currently. This is making the 2.4... more
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Solve Future Bandwidth Demands
by George Essien

2024

The advent of 3G and 4G mobile services brings with it a surge in data traffic, which in turn puts a strain on existing mobile networks. Nowhere is the demand for more bandwidth felt more than in the Backbone.The backbone of a mobile... more
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Coexistence of TV White Space Devices and DTV Services in Ethiopian Geolocation White Space Spectrum Database
by Ephrem Teshale Bekel

2024, 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

Due to the favorable propagation characteristics of the spectrum allocated for broadcast Television in the Very High Frequency (VHF) and Ultra High Frequency (UHF) spectrum bands; new innovative wireless technologies have emerged capable... more
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Near-Duplicates Detection for Vietnamese Documents in Large Database
by Công Sơn Trương

2024, 2008 International Conference on Advanced Language Processing and Web Information Technology

Near-duplicate documents exacerbate the problem of information overload. Research in detecting near-duplicates has attracted a lot of attention from both industry and academia. In this paper, we focus on addressing this problem for... more
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Validation of a CRV Model Using TVWS Measurements
by Khalil Anderson

2024

As autonomous vehicles advance, their commercial popularity will rise. This growth will increase the need for wireless transmission of data to these cars not only to drive more efficiently, but to also entertain the driver. As people are... more
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Spectrum Cost Optimization for Cognitive Radio Transmission over TV White Spaces using Artificial Neural Networks
by Naveed Hassan

2024, 2019 UK/ China Emerging Technologies (UCET)

In this paper, the use of TV White Spaces (TVWS) by small cognitive radio wireless network operators (SCWNOs) is considered in order to support the growing demands for IoT applications in smart grid and smart cities. In order to support... more
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Cognitive communication in TV white spaces: An overview of regulations, standards, and technology
by Tuncer Baykas

2024, IEEE Communications Magazine

Additionally, activities in the IEEE Dynamic Spectrum Access Networks (DySPAN) Standards Committee (SC) 1900.7 are also reported. Although the unlicensed usage of TV white spaces provides room for spectrum utilization, challenges are... more
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Cognitive communication in TV white spaces: An overview of regulations, standards, and technology [Accepted From Open Call]
by Tuncer Baykas

2024, IEEE Communications Magazine

Additionally, activities in the IEEE Dynamic Spectrum Access Networks (DySPAN) Standards Committee (SC) 1900.7 are also reported. Although the unlicensed usage of TV white spaces provides room for spectrum utilization, challenges are... more
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TVWS devices spectrum mask test and analysis
by Albert Lysko

2024

Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2016: Broadband Evolution - Unlocking "The Internet of things", 4-7 September 2016, George, South Africa
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Dynamic Interference Suppression for TV White Space: the Case of Thailand
by Teerapat Sanguankotchakorn

2024, International Journal of Computer Networks & Communications

In this work, we study the problem of coexistence between the LTE (Long Term Evolution) and the Digital Terrestrial Television Broadcasting (DTTB) channel. There are three scenarios: co-channel, upper and lower adjacent channels. We use... more
The block diagram of the proposed dynamic interference analysis system is shown in figure 1. In our work, we consider the scenario where DVB-T2, the digital terrestrial television broadcasting (DTTB) standard adopted in Thailand, is a primary service coexisting with mobile wireless communication (LTE) which is a secondary service. Both signals are the inputs of the dynamic interference suppression algorithm, which is implemented on Raspberry Pi, our programmable testbed. Then, we assess the effectiveness of our implemented algorithm in reducing the LTE interference on DTTB signal by the QoE assessment method. The detail of all these procedures is described in the following subsections.
The model for analyzing the actual interference between the DTTB and LTE signal at TV receiver in this work is illustrated in figure 2. In this study, the system parameters under consideration are shown in Table 2. Figure 2. The Interference Analysis Model
Figure 3. The Coexistence Scenario between DTTB and LTE Signal In our model, assume that the TV receiver is under the coverage BS1 and can receive both signals from BS1 and LTE UE1.The 8 MHz bandwidth of DTTB signal is transmitted using the center frequency of 658 MHz (channel 44), while the 5 MHz bandwidth of LTE signal is operated on co-channel and adjacent channel of the DTTB signal. That is, the LTE signal has the center frequency of 658 MHz, 663 MHz and 653 MHz for the co-channel, upper and lower adjacent channels, respectively as shown in Figure 3. The actual coexistence scenarios of frequency spectrum between DTTB and LTE are measured by using device called PROMAX field strength meter, as shown in Figure 4 (a), (b), (c). This illustrates the case of video without degradation due to the large enough different level of channel power between DTTB and LTE signals.
Figure 4. The Coexistence Scenario between DTTB and LTE Signal without Video Degradation
Figure 5. Block Diagram of the Proposed Algorithm implemented in our Hardware International Journal of Computer Networks & Communications (IJCNC) Vol.15, No.1, January 2023 The procedure of our implemented algorithm can be explained step-by-step as follows:
International Journal of Computer Networks & Communications (IJCNC) Vol.15, No.1, January 2023 In our experiment, the Log Periodic antenna with the gain of 11dB, as shown in figure 7(a), is used to receive the DTTB signal at rooftop and the amplifier with the gain of 30dB, as shown in figure 7(b), is used to adjust the signal level of DTTB. While the PROMAX field strength meter is used to analyze the spectrum of the received DTTB signal, as shown in figure 8. The picture on the right-handed side of Figure 8 is the video demodulated from the received carrier frequency shown on the left-handed side. It implies the adequacy of the signal power for a TV receiver.
Figure 8. The received DTTB Signal of 8MHz Bandwidth at Frequency of 658MHz measured by a PROMAX Field Strength Meter.
The RF digital transmitter, as shown in figure 7 (c), is used to generate the 5MHz bandwidth of LTE signal based on OFDM (Orthogonal Frequency Division Multiplexing) technique. Then, the output level is adjusted within the range of -10 dBm to 10 dBm depending on the request of the interference suppression algorithm. Figure 9 shows an example of a SMHz LTE signal generated, including a channel power of -54.16 dBm consisting of cable loss, connection loss and added external attenuators.
Table 3. The Specifications of RF Attenuator
Figure 11. The Raspberry Pi Board and used Pinouts
Figure 12. The GUI of the Dynamic Interference Suppression System Firstly, the GUI is created with Tkinter in Python. This GUI allows users to fill in the information that is needed for algorithm processing, as shown in figure 12. The 1* and 2™ boxes (from the top) are for inputting the location of a WSD in terms of Latitude and Longitude in degree, respectively. The 3" and 4" boxes are for inputting the location of a TV receiver in terms of Latitude and Longitude in degree, respectively. The 5" and 6" boxes are for inputting the antenna height of a WSD in meters and the transmitted power of a WSD in dBm, respectively. The 7", 8" and 9" boxes are the antenna height of a TV receiver in meters, the frequency of a TV receiver in MHz and the received power of a TV receiver in dBm, respectively.
Figure 13. Algorithm Processing with Testbed Hardware. After the algorithm runs, the output power of the WSD signal is reduced by an RF attenuator. In figure 13, the algorithm processing with the testbed hardware is illustrated. As an example, when the output calculated from the algorithm is 19dB, the Raspberry Pi transforms this value to a 6- bit binary digit. Then, all these binary digits are sent to the RF attenuator, which is ‘100 1 1 0’ in this case. Finally, at RF output of the attenuator, the channel power of this signal is decreased by 19dB. 3.4. Performance Evaluation Metrics
Figure 14. D/U Ratio Results from our Test
Figure 15. QoE Assessment Equipment and Facility
Figure 16. Examples of Video Distortion on TV screen (black and keep freezing)
Figure 17. The Frequency Spectrum of LTE signal
It is well-known that the Modulation Error Ratio (MER) is one of the important metrics used to evaluate the performance of DTTB. The higher the value of MER, the better the received DTTB signal is. In this work, the PROMAX field strength meter is used to analyze the MER for each carrier on the selected channel. It represents the frequency spectrum where the MER degrades. For example, if a 5MHz bandwidth LTE signal is operated on the same channel of an 8MHz DTTB, so the MER at the center of channel will be degraded. The MER measured by carrier measurement for the co-channel, lower and upper adjacent channels in this work are shown in figure 19(a)~(c), respectively. Figure 19. MER (Modulation Error Ratio) by Carrier Measurement
In this section, the effectiveness of our proposed algorithm is shown in figure 21, where the percentages of video degradation with and without our proposed algorithm are illustrated. It is obvious that in all frequency bands, the video degradation of the scenario adopting our proposed algorithm is drastically lower than the video degradation without adopting our proposed algorithm. The percentages of video degradation of co-channel and adjacent channel in case of adopting our proposed algorithm is less than without adopting our proposed algorithm at least 62.5% and 87.5%, respectively.
Table 1. DVB-T2 Digital Terrestrial Television Broadcasting Parameters in Thailand
Table 2. System Parameters under consideration
Table 4. The Attenuation State For a Raspberry Pi board, we use six pinouts for sending data to the RF attenuator. These ar General Purpose Input/Output (GPIO) pins on BCM mode, as shown in Figure 11. All GPIO pin are set to the output GPIO to send a binary bit to pinouts of a RF attenuator. The Raspberry Pi i directly connected for each pin to the RF attenuator, as shown in Table 5. The 6-bit Digital Step Attenuator (PE4302 model) as shown in figure 10, is used as a programmable attenuator whose specification is shown in Table 3, while the attenuation state is shown in Table 4. The physical board consists of six pinouts for connecting each bit, namely V1~V6. In this experiment, this device is set to operate in direct parallel mode, the Latch Enable LE) line should be pulled HIGH. The parallel interface consists of six CMOS-compatible control ines that select the desired attenuation state, as shown in Table 4. The attenuation value can be changed by changing attenuation state control values CO.5-C16, where there are totally 64 possible combinations.
Table 5. The connection between a Raspberry Pi and a RF attenuator
Table 6. The Parameters for QoE Assessment 4. EXPERIMENTAL RESULTS
Table 7. The Parameters for Validation of Program and Testbed The frequency spectrums of our validation are shown in figures 17(a) and (b). In case 1, as shown in figure 17(a), the attenuator is not necessary, since the D/U ratio already satisfies the minimum requirement. That is, the co-channel frequency can be used by both DTTB and LTE. While case 2, as illustrated in figure 17(b), represents a 5 MHz bandwidth of LTE signal which has power of -11.88 dBm. However, the LTE signal whose power is -42.92 dBm needs to be attenuated by 31.4 dB to satisfy the minimum requirement of D/U ratio.
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Radio Spectrum: Evaluation approaches, coexistence issues and monitoring
by LIljana Gavrilovska

2024, Computer Networks

The explosive growth of wireless communications lately imposes novel challenges for radio spectrum usage and policing. Many new communication scenarios have emerged that necessitate techniques for precise spectrum availability estimation... more
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Spectrum regulation for future internet networks in developing economies
by seani rananga

2023

Radio frequency spectrum resources play a crucial role as enabler in future wireless ICT infrastructure and development of affordable broadband services. Activities by research organisations such as the CSIR and regulators such as the FCC... more
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A Menu-driven Interface for a Geolocation Database for Wireless Spectrum Sharing
by Armie Pakzad

2023, Journal of Communications

Spectrum sharing is of paramount importance in television white space (TVWS) wireless communications. Secondary users must ensure that their operation in any TV channel does not interfere with the transmission of the primary users and... more
The MDI was implemented using MATLAB's App Designer, as shown in Fig. 1. There are 100 SUs that vere predetermined and tested beforehand. Fig. 1. MATLAB app designer MDI.
Fig 2. Secondary user parameters in Calamba Trade Center.
corresponding colors. Red means the channel is unavailable during the request. Light green means that the channel is available during the time of request and dark green signifies that this is the best available channel for the secondary user. The availability of the channel is based on the information from the geolocation database. Fig. 3 shows the available channels for a secondary user located in Calamba Trade Center. Fig. 3. Available channels for the secondary user in Calamba Trade Center.
Fig. 5. Secondary user in Calamba Trade Center with respect to the primary user in metro manila.
Fig. 4. Primary user in metro manila. The coverage maps utilized the Longley-Rice model to generate a more accurate coverage with respect to the terrain. The FCC contour map presented a model in free space. Therefore, the Longley-Rice model was utilized to take into consideration the mountainous terrain. The Longley-Rice model considers the terrain profile and tropospheric characteristics in predicting the coverage area of the antenna. The model also considers obstructions such as buildings and mountains in its calculation. It can estimate the degradation of radio waves in the 20 MHz to 20 GHz frequency range. MATLAB supports different propagation models, and it includes free space, rain, gas, fog, close-in, Longley-rice, Terrain Integrated Rough Earth Model (TIREM), and ray tracing image method modeling. The free space, rain, gas, and fog models were not chosen because they are restricted to line-of-sight scenarios. The close-in model produced a perfect contour map, wherein the coverage would be a perfect circle. This model does not consider the possible areas that the primary user may not reach.
Fig. 6 shows the antenna setup used in one of the locations. Table I shows the accuracy of the broadcasting schedule from the GLDB with respect to the four locations mentioned. Table II shows the accuracy of broadcast range based on the computed model using FCC propagation curves and the Longley-Rice model. Fig. 6. Antenna setup.
TABLE I: BROADCAST SCHEDULING ACCURACY TABLE II: CONTOUR MAP ACCURACY
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Channel Selection Technique to Satisfy Secondary Users Quality of Service (QoS) Requirements in TV White Space
by Athanacious Makgamatha

2023

Growing demand of reliable and affordable wireless connectivity requires alternative solutions and television white space (TVWS) provides that opportunity. However, the biggest challenge in TV spectrum re-use is to allocate best channels... more
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Application of Radio Environment Maps for Dynamic Broadband Access in TV Bands in Urban Areas
by Anna Umbert

2023, IEEE Access

Spectrum sharing based on the dedicated databases, particularly in the context of TV band, is widely considered as a promising tool for better spectrum utilization in the future wireless networks. Practical realization of this paradigm... more
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An efficient approach to node localisation and tracking in wireless sensor networks
by Martin Mwila

2023

Localisation is one of the most important applications for wireless sensor networks since the locations of the sensor nodes are critical to both network operations and most application level tasks. Numerous techniques for localisation of... more
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Application of Radio Environment Maps for Dynamic Broadband Access in TV Bands in Urban Areas
by Adrian Kliks

2023, IEEE Access

Spectrum sharing based on the dedicated databases, particularly in the context of TV band, is widely considered as a promising tool for better spectrum utilization in the future wireless networks. Practical realization of this paradigm... more
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Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-Duplex
by Nikhil singh

2023, 2010 Fifth IEEE Workshop on Wireless Mesh Networks

Existing indoor WiFi networks in the 2.5GHz and 5 GHz use too much transmit power, needed because the high carrier frequency limits signal penetration and connectivity. Instead, we propose a novel indoor wireless mesh design paradigm,... more
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Near-Duplicates Detection for Vietnamese Documents in Large Database
by bao pham

2023, 2008 International Conference on Advanced Language Processing and Web Information Technology

Near-duplicate documents exacerbate the problem of information overload. Research in detecting near-duplicates has attracted a lot of attention from both industry and academia. In this paper, we focus on addressing this problem for... more
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Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-Duplex
by Nikhil Singh

2023, 2010 Fifth IEEE Workshop on Wireless Mesh Networks

Existing indoor WiFi networks in the 2.5GHz and 5 GHz use too much transmit power, needed because the high carrier frequency limits signal penetration and connectivity. Instead, we propose a novel indoor wireless mesh design paradigm,... more
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A series of trials in the UK as part of the Ofcom TV white spaces pilot
by Dominique Nussbaum

2023, 2014 1st International Workshop on Cognitive Cellular Systems (CCS)

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Systematic analysis of geo-location and spectrum sensing as access methods to TV white space
by Ermanno Pietrosemoli

2023, 2016 ITU Kaleidoscope: ICTs for a Sustainable World (ITU WT)

Access to the television white space by white space devices comes with a major technical challenge: white space devices can interfere with existing television signals. Two methods have been suggested in the literature to help white space... more
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RFTrack
by Ermanno Pietrosemoli

2023, Proceedings of the Eighth International Conference on Information and Communication Technologies and Development

Despite successful pilots in developing countries, TVWS (Television White Spaces, unused portions of television broadcasting spectrum) has not gained the amount of attention that it deserves. One of the reasons is the lack of spectrum... more
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Cognitive communication in TV white spaces: An overview of regulations, standards, and technology [Accepted From Open Call]
by Ha Thanh Thanh Tran

2023, IEEE Communications Magazine

Additionally, activities in the IEEE Dynamic Spectrum Access Networks (DySPAN) Standards Committee (SC) 1900.7 are also reported. Although the unlicensed usage of TV white spaces provides room for spectrum utilization, challenges are... more
Figure 2. Illustration for UM4: home wireless utilizing TV white spaces.
Figure 1. Illustration for UM2: smart utility networks in TV white spaces.
Table 1. Summary of FCC governing regulations.
Table 2. Summary of standardization initiatives.
Table 3. Parameter requirements for TV white space communications usage models.
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The Design and Development of a Microstrip Antenna for Internet of Things Applications
by Partemie Marian Mutescu

2023, Sensors

The Internet of Things (IoT) has become a part of modern life where it is used for data acquisition and long-range wireless communications. Regardless of the IoT application profile, every wireless communication transmission is enabled by... more
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Improving Rural Emergency Services with Cognitive Radio Networks in Sub-Saharan Africa
by Dramane Ouattara

2023, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

In this paper, we propose a new approach based on Cognitive Radio technology to address the challenges for ensuring connectivity in remote areas of Africa. Indeed, the current network coverage is concentrated around the cities with high... more
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IEEE 802.11af: a standard for TV white space spectrum sharing
by SANTOSH PANDEY

2023, IEEE Communications Magazine

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OpenPAWS: An open source PAWS and UHF TV White Space database implementation for India
by animesh kumar

2023, 2015 Twenty First National Conference on Communications (NCC)

TV white space (TVWS) geolocation database is being used for the protection of the terrestrial TV broadcast receivers, and the coexistence of secondary devices. To the best of our knowledge, though TV White Space calculations are... more
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B-17-18 Implementation of a Cooperative Spectrum Sensing System using GNU Radio and USRP
by Minseok Kim

2023

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Advanced Metering Infrastructure for Microgeneration in Rural Zones using TV White Spaces based on Spectrum Opportunistic
by Esteban Inga Ortega

2023, IEEE Latin America Transactions

The need to minimize resources and infrastructure for measuring electric power, water supply, etc., gives opening to an advanced metering infrastructure (AMI), more efficient automated systems to minimize costs and infrastructure. Runtime... more
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Pricing Model for TV White Spaces Channels with Different Priorities
by Yugang Ma

2023, IEEE Wireless Communications Letters

A new type of TV white space (TVWS) channel called the high priority channel (HPC) has been proposed by the regulator of Singapore. The HPCs are TVWS channels that will always be available to unlicensed white space devices (WSDs) although... more
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Cement Plant Simulation and Dynamic Data Communication Using Ni Labview and Matrikon Opc
by sneha ghosh

2022

This paper presents a cement plant simulator designed on LabVIEW platform. It generates process data and electrical parameters for all the lines of workshops in the cement industry. The simulated design is universal and applicable to all... more
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Systematic analysis of geo-location and spectrum sensing as access methods to TV white space
by Hope Mauwa

2022, 2016 ITU Kaleidoscope: ICTs for a Sustainable World (ITU WT)

Access to the television white space by white space devices comes with a major technical challenge: white space devices can interfere with existing television signals. Two methods have been suggested in the literature to help white space... more
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Exploring TV White Spaces for Use in Campus Networks
by Hope Mauwa

2022, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

University campuses are busy places for wireless client traffic coming from Wi-Fi connections and other wireless devices that contend for the 2.4 GHz frequencies space that most campus Wi-Fi networks use currently. This is making the 2.4... more
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A comprehensive methodology for opportunistic spectrum access based on residual white space distribution
by Manuj Sharma

2022, Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management - CogART '11

Assuming that Secondary Users (SU) have channel occupancy data (channel idle and busy durations) of Primary Users (PU), this paper presents a methodology to fit primary channel occupancy data to a distribution. Then we show how SUs can... more
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Residual white space distribution-based opportunistic channel access for cognitive radio enabled devices
by Manuj Sharma

2022, ACM SIGCOMM Computer Communication Review

We describe an opportunistic channel access scheme for cognitive radio-enabled secondary nodes (SNs). The proposed scheme uses the residual channel idle time distribution to estimate the transmission duration in the remaining idle time,... more
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Awareness and Protection of Human and Electronic Library Resources from Lightning Disaster: A Survey of Selected Nigerian Libraries
by Samuel Olu Adeyoyin

2022

Disaster prevention and management is a crucial aspect of library management. Creating awareness and protecting human and electronic library resources from lightning disaster require immediate attention of library managers. Lightning... more
The table above shows that Acquisition section has 10 respondents (13.9%), Readers’ Services 21(29.2%), Cataloguing and Classification 10 (13.9%), Automation 11(15.3%), Serials 10 (13.9%) and Administrative section (13.9%).
The respondents’ status are shown in this table. Librarian 15 (20.8%), Library Officer 13 (18.1%), Library Assistants 22 (30.6%), Library Porters 4 (5.6%), Administrative staff 11(15.3%), others 7 (9.7%) Section B: Awareness of Lightning Strike Disaster Tahle 4:
Table 6 reveals the respondents’ level of awareness on lightning strike. While 65 (90.3%) affirmed that they know what lightning is, 7 (9.7%) responded negatively. 47 (65.3%) have experienced lightning strike before while 25 (34.7%) have not. 30 (41.7%) have also experienced lightning disaster before while 42 (58.3%) have Table 5: Respondents’ Status
Section C: Protection from Lightning Strike Disaster Table 7: Table 7 reveals the respondents’ opinion about issues relating to protection of library human and materials resources from lightning strike disaster. The table shows that 51 (70.8%) agreed that lightning strike is a natural disaster also referred to as the act of God while 17 (23.6%) disagreed. 53 (73.6%) agreed that many people are not aware of the dangers being caused by lightning strike while 16 (22.2%) disagreed. 40 (55.6%) agreed that lightning equipment are not easily acquired while 29 (40.3%) disagreed. In the same vein, 40 (55.6%) agreed that lightning equipment are not easily deployed while 28 (38.9%) disagreed. Some of the respondents 60 (83.3%) opined that electrical equipment should come with lightning protection equipment while 10 (13.9) respondents disagreed. 65 (90.3%) agreed that library management should include lightning protection in their maintenance policy while 5 (6.9%) disagreed. 65 (90.3%) agreed that library management should prepare against
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Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-Duplex
by Nikhil Singh

2022, 2010 Fifth IEEE Workshop on Wireless Mesh Networks

Existing indoor WiFi networks in the 2.5GHz and 5 GHz use too much transmit power, needed because the high carrier frequency limits signal penetration and connectivity. Instead, we propose a novel indoor wireless mesh design paradigm,... more
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Investigation of Radio Frequency Licensed Spectrum Utilization in Nigeria: A Study of Rumuokwuta, Port Harcourt, Nigeria
by COSMAS K E M D I R I M AGUBOR

2022, International Journal of Wireless & Mobile Networks

This study was carried out to investigate the spectrum utilization of the licensed Radio Frequency (RF) spectrum in Rumuokwuta, Port Harcourt. An outdoor measurement of spectrum occupancy was carried out in a high-rise building situated... more
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A novel frequency reconfigurable antenna for smart grid applications in TV white space band
by International Journal of Electrical and Computer Engineering (IJECE)

2022, International Journal of Electrical and Computer Engineering (IJECE)

This paper presents the design and analysis of a frequency reconfigurable, aperture coupled rectangular patch antenna for use in smart grid applications in TV white space bands. The proposed antenna model has been realized on... more
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An efficient approach to node localisation and tracking in wireless sensor networks
by Karim Djouani

2022, 2014 IEEE Global Communications Conference

Localisation is one of the most important applications for wireless sensor networks since the locations of the sensor nodes are critical to both network operations and most application level tasks. Numerous techniques for localisation of... more
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Using Software Defined Radio and Cognitive Radio Technologies in Smart Home Environments
by Radu Arsinte

2022

The purpose of this paper is to analyse the possibility of implementing multiprotocol and multifrequency wireless Building Management Systems (BMSs) for smart home environments by using Software Defined Radio (SDR) respectively Cognitive... more
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Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-Duplex
by Gerald DeJean

2022, 2010 Fifth IEEE Workshop on Wireless Mesh Networks

Existing indoor WiFi networks in the 2.5GHz and 5 GHz use too much transmit power, needed because the high carrier frequency limits signal penetration and connectivity. Instead, we propose a novel indoor wireless mesh design paradigm,... more
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IEEE 1900.7 standard for white space dynamic spectrum access radio systems
by Zeeshan Shakir

2022, 2015 IEEE Conference on Standards for Communications and Networking (CSCN)

Various measurements and studies have shown that some licensed frequency bands are underutilized at certain times and in certain locations. In particular, TV bands have been shown to have unused spectrum. Such observations have triggered... more
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Coexistence of TV White Space Devices and DTV Services in Ethiopian Geolocation White Space Spectrum Database
by Habib Mohammed

2022, 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

Due to the favorable propagation characteristics of the spectrum allocated for broadcast Television in the Very High Frequency (VHF) and Ultra High Frequency (UHF) spectrum bands; new innovative wireless technologies have emerged capable... more
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TV White Space Detection Using Usrp
by Sudha Thiyyakat

2022

The burgeoning demand on radio spectrum owing to explosive development in wireless communication necessitates efficient use of the available frequency spectrum. But this need is at cross purposes with the present system of fixed spectrum... more
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A comprehensive methodology for opportunistic spectrum access based on residual white space distribution
by Manuj Sharma

2022, Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management - CogART '11

Assuming that Secondary Users (SU) have channel occupancy data (channel idle and busy durations) of Primary Users (PU), this paper presents a methodology to fit primary channel occupancy data to a distribution. Then we show how SUs can... more
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Residual white space distribution-based opportunistic channel access for cognitive radio enabled devices
by Manuj Sharma

2022, ACM SIGCOMM Computer Communication Review

We describe an opportunistic channel access scheme for cognitive radio-enabled secondary nodes (SNs). The proposed scheme uses the residual channel idle time distribution to estimate the transmission duration in the remaining idle time,... more
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