iti Saha Misra

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Joaquim Llisterri

Universitat Autònoma de Barcelona

Mark W. Post

The University of Sydney

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University of Rochester

Vsevolod Kapatsinski

University of Oregon

Eitan Grossman

The Hebrew University of Jerusalem

Anabela Rato

University of Toronto

Rhys Jones

Swansea University

George Christodoulides

Université de Mons

Michelle Jarvie-Eggart

Michigan Technological University

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University of Hamburg

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Papers by iti Saha Misra

A framework for QOS provisioning in three layer MIPV6 architecture by RSVP extension

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010

ABSTRACT The goal of mobile IP based architecture is to minimize handoff latency, signaling overh... more ABSTRACT The goal of mobile IP based architecture is to minimize handoff latency, signaling overhead and tunneling cost. Many of the researches claim that hierarchical arrangement of anchor agents offer a suitable value for these parameters to mobile users. Simultaneously, for the world wide acceptance of the architecture, it must offer service guarantee to end users. Quality of service (QoS) provisioning is difficult but a task of high importance in communication network. Furthermore, channel characteristics of wireless media and mobile behavior of users make QoS enhancement more complicated in IP based mobile network. The Resource Reservation Protocol (RSVP) has gained its popularity as a signaling protocol in IP based network for offering guaranteed service to end users. Although RSVP is primarily designed as a receiver initiated protocol for wired network, it is extended to wireless environment by making few minor changes and adding new message types and reservation models. In this paper, a framework is proposed by extending RSVP to give preferential treatment to a certain type of traffic in a three-layer IPv6 based mobile network to satisfy end users.

Three Layer MIPv6 (TLMIPv6): A new mobility management protocol for IPv6 based network

2012 IEEE International Conference on Computational Intelligence and Computing Research, 2012

Uninterrupted connectivity on move is a primary demand of end users both in cellular and IP based... more Uninterrupted connectivity on move is a primary demand of end users both in cellular and IP based networks. Protocols that assist to maintain continuous link despite of frequent change in point-of attachment of mobile devices are called mobility management protocol. Although the mobility management protocols are matured enough in cellular network it is in a growing phase for IP based network. In this paper a new mobility management scheme called Three Layer MIPv6 (TLMIPv6) is proposed and comparative performance evaluation is carried out with MIPv6 and HMIPv6 protocol using simulation in ns-2 environment. The intention of this work is to analyze these three protocols and to find suitable scenario for each of these protocols.

Fluid Flow and Random Walk Mobility Model for Wireless Mobile Network Research: A Review

Advanced Materials Research, 2011

In performance evaluation of mobility management protocols for Wireless Mobile Networks (WMN) est... more In performance evaluation of mobility management protocols for Wireless Mobile Networks (WMN) estimating cell change rate of mobile users is very important. Based on the rate of cell change (also called handoff rate) other parameters such as location update cost, handoff latency etc. may be calculated. Moreover, any new mobility management protocol must be examined either mathematically or through simulation before its use in real network. Since the cell change rate is dependent on movement pattern of users; that is why modeling of user movement in order to evaluate the performance of protocols and architectures for WMN plays a vital role. The aim of this paper is to discuss Fluid Flow and Random Walk mobility and different method to estimate cell changing rate using these two models. Our intention is to support researchers with options to choose a suitable model when their protocol or architecture needs to be studied under various mobility patterns.

Cyclic Prefix Based Modulation Selection Using Comparative Analysis of EVM and RCE for WiMAX Network

Communications in Computer and Information Science, 2011

The study of any individual performance measuring attribute does not necessarily confirm the sele... more

Reconfigurable method of smart antenna beam shaping in indoor fading environment using adaptive algorithms: An exhaustive experimental study

International Journal of Rf and Microwave Computer-aided Engineering, Nov 7, 2020

Adaptive algorithms for beam shaping of a phased array antenna and multiple-input multiple-output... more Adaptive algorithms for beam shaping of a phased array antenna and multiple-input multiple-output (MIMO) system gaining importance in today's advanced wireless networks to mitigate interference effects and distortion in the receiving signal due to multipath, small scale, and large scale fading effects. This article deals with the development of reconfigurable field programmable gate array (FPGA)-based hardware for smart antenna system to explore parameter dependencies, drawbacks, and relative performance comparison of popular adaptive beamforming and interference suppression algorithms. These are least mean square, recursive least squares (RLS), and sample matrix inversion (SMI) used in real-time under laboratory environment where the existing wireless channel between transmitters and receivers is linear timevarying in nature due to presence of secondary sources giving rise to smallscale fading. For this at first, we propose a novel received signal strength indicator-based procedure to measure the radiation pattern of the antenna under an echoic indoor environment on a reconfigurable and portable FPGA system named wireless open-access research platform (WARP), controllable by generic programming codes over a user-friendly MATLAB interface. For better performance, the SMI algorithm was modified to increase block size rather than block shifting in general SMI. Later a comparative study was performed under varying conditions to observe the best utilization of three adaptive algorithms in beam shaping. In all cases, SMI performs the best with less beam shaping error and faster convergence, validating its use in a real-time fading environment.

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Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Engineering reports, Oct 5, 2020

Smart antennas are becoming popular in the area of cellular wireless communication for capacity e... more Smart antennas are becoming popular in the area of cellular wireless communication for capacity enhancement and reduction of the multipath effect and interference. The demand for smart antennas is widely increasing as 5G cellular communication evolves to support the higher data rate and bandwidth. The basic principle of smart antenna design is adaptive beamforming using the best suited digital signal processing algorithms, such as least mean square (LMS), normalized least mean square (NLMS), sample matrix inversion (SMI), and recursive least square (RLS), each having its pros and cons. Among these, the LMS and NLMS are iterative approaches while SMI is a block adaptive method and RLS is a recursive method. The contribution of this article includes easy implementation of four adaptive beamforming algorithms, namely LMS, NLMS, SMI, and RLS. Furthermore, an exhaustive comparative performance analysis is carried out under five interferers and evaluated in terms of beamwidth, null depth, maximum sidelobe level, rate of convergence, error variation for the number of antenna elements, and spacing. Finally, a contrast table is presented to demonstrate the pros and cons of the listed algorithms. Time and dynamic space complexity are studied for RLS and SMI beamforming algorithms. Performance results from a designed reconfigurable testbed model for weight adaptation and smart beamforming are also presented for analysis and a better understanding of the real implementation of the smart algorithms through testbed design. The simulation and testbed results create the ground work for future exploration in the design of smart antenna beamforming.

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An Experimental Approach Towards Adaptive Beam-Shaping using SMI Algorithm in Indoor Fading Environment

Beam shaping in indoor communication is always a challenge because of small scale fading where th... more Beam shaping in indoor communication is always a challenge because of small scale fading where the wireless channel shows the random variation of its impulse characteristics. It requires lots of experimental observations and large sets of measurement for any conclusive results. In this paper, an extensive experimental investigation is performed under indoor fading wireless LTV Channel for beam shaping of receiving antenna array using well known Sample Matrix Inversion (SMI) algorithm. For improved performance in random LTV channel, we propose a modified adaptive SMI to achieve faster beam shaping of desired Smart Antenna system using a developed test-bed model with FPGA based reconfigurable WARP boards.

Author response for "Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Performance comparison of different adaptive beamforming algorithm in smart antennas

2012 5th International Conference on Computers and Devices for Communication (CODEC), 2012

Smart antenna is the most efficient leading adaptive beamforming technique for maximum coverage, ... more Smart antenna is the most efficient leading adaptive beamforming technique for maximum coverage, null steering, offer higher system capacity and improved quality of the service compared to other antennas. This paper proposes the historical development of fixed weight beamforming basics (FWBB), adaptive arrays and finally a comparison made between performance of two adaptive algorithms - Least Mean Square (LMS) and Sample Matrix Inversion (SMI).

Building a Model for RFID based Traffic Density Measurement System

2022 IEEE Calcutta Conference (CALCON)

Optimal RSU deployment using complex network analysis for traffic prediction in VANET

Peer-to-Peer Networking and Applications

Designing an analytical model for IEEE 802.15.6 scheduled access mode in non-saturation regime

2016 IEEE Radio and Antenna Days of the Indian Ocean (RADIO)

This paper presents an analytical model with closed form expressions for estimating the average d... more This paper presents an analytical model with closed form expressions for estimating the average delay, throughput and energy consumption of a sensor node for scheduled access mechanism in IEEE 802.15.6 based Wireless Body Area Network (WBAN) operating in non-saturation regime under error prone conditions. Forming WBAN over an OPNET simulation platform, results are generated for the validation of the analytical model. The analysis also determines the optimal allocation interval in Managed Access Phase (MAP1) to ensure high Quality of Service (low delay, minimal packet loss) for different applications having distinct traffic loads.

Developing a 3D Beam Former Model with Varied MIMO Channels

2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), 2019

Orthogonal Frequency Division Multiplexing (OFDM) in conjunction with Multiple-Input Multiple-Out... more Orthogonal Frequency Division Multiplexing (OFDM) in conjunction with Multiple-Input Multiple-Output (MIMO) is considered as an attractive solution for future generation wireless networks with frequency selective fading environments. In this paper, a MIMO-OFDM based 3D Beamformer (3DBF) model has been developed using MIMO antenna arrays with both uniform and non-uniform planar array structures. The spatial mobility of the users and varied MIMO antenna structures have been considered for bringing the effect of different channel conditions with WINNER-II spatial channel model which considers 3D beamforming aspects. For the performance evaluation and comparison, linear adaptive channel equalization algorithms namely the Least Mean Square (LMS) and the Minimum Mean Square Error (MMSE) have been considered to be adaptively compensated the channel impairments caused by frequency selectivity in the propagation environment and under the condition of varied MIMO channel. The various units of the 3DBF system are described and implemented under MATLAB simulation environment. Extensive simulated studies have been carried out for Bit Error Rate (BER) and 3D beamforming performance evaluation with MMSE equalizer, the varied filter tap for LMS and MIMO antenna structures. BER reduction of 66.67% is obtained for LMS equalizer over MMSE equalizer at a fixed $\mathbf{SNR} =15\ dB$. The Mean Square Error (MSE) performance of the LMS equalizer at same SNR condition is improved than MMSE in proportion with the number of LMS filter tap and MIMO antenna structure which proves its superiority in the aspects of MIMO-OFDM based 3DBF system.

Kaiser Window Based Side Lobe Level Suppression in 3D Beamforming for Massive MIMO Structure

2020 IEEE Calcutta Conference (CALCON), 2020

In this paper, a novel integrated 3D beamforming (3DBF) algorithm has been reported with Kaiser w... more In this paper, a novel integrated 3D beamforming (3DBF) algorithm has been reported with Kaiser window based Side Lobe Level (SLL) suppression technique for 12 x 8 Massive Multiple Input Multiple Output (MIMO) receiving (R) antenna structure. The 3DBF can steer the main-lobe towards the desired direction and place null towards the undesired directions. The incorporation of the SLL suppression technique makes 3DBF algorithm less vulnerable to unforeseen and undesired signals in comparison with conventional 3DBF strategies having significant SLL. Accordingly, the proposed method is more suitable for 5G applications in terms of user tracking. In this work, a conventional beamforming strategy is employed firstly to evaluate the appropriate antenna weights for directing the main lobe towards the Desired Signal (DS) and nulls in the direction of the Undesired Signals (UDSs) followed by an algorithm that invokes SLL suppression. The proposed SLL suppression procedure exploits independent and individual low-pass filter based Kaiser windowing technique in the vertical and horizontal axes of the Rx antenna for minimizing the vertical and horizontal side lobes of the Radiation Pattern (RP) separately. This SLL suppression technique re-evaluates the antenna weights in such a manner that it can jointly form the desired 3D beam with suppressed SLL without changing the direction of the main beam. The elevation, azimuth, and 3D RPs have been generated to test the performance of the proposed algorithm in terms of SLL reduction and robustness. Approximately 72% improvement has been observed in the first SLL of the RP. This 3DBF algorithm based on SLL reduction methodology is much faster than any evolutionary optimization algorithm which needs an iterative technique for SLL suppression.

Implementation of Energy Efficient WBAN Using IEEE 802.15.6 Scheduled Access MAC with Fast DWT Based Backhaul Data Compression for e-Healthcare

Adaptive Packetization Algorithm to Support VoIP Over Congested WLANS

Springer Series in Wireless Technology, 2018

This chapter has explored the use of variable packet payload sizes as an alternative to the alrea... more This chapter has explored the use of variable packet payload sizes as an alternative to the already existing methods to sustain VoIP calls under congested network scenarios. OPNET Modeler 14.5.A has been used for carrying out extensive analysis for voice quality in terms of MOS and end-to-end delays. An algorithm has been proposed that utilizes the RTCP receiver reports to assess the network condition and select the optimum packet payload size. The proposed algorithm has been implemented in OPNET 14.5.A and exhaustive simulations have been undertaken to test its efficiency. The algorithm has provided satisfactory results while maintaining its transparency with respect to the end user.

Intelligent Building Control Solution Using Wireless Sensor—Actuator Networking Framework

Advances in Intelligent Systems and Computing, 2017

Intelligent building refers to a residence that is automated through a network of electronic devi... more Intelligent building refers to a residence that is automated through a network of electronic devices which cooperate transparently to provide protection and comfort to the residents and minimize the energy consumption drastically. In this paper, a novel approach is made to design an intelligent building control solution using wireless sensor actuator networks (WSAN) in hardware domain. The intelligent building control solution provides automation to most household operations such as intrusion alarm, environment monitoring and controlling, asset tracking, etc. Real-time sensing is established with the help of sensor modules whereas real-time tracking is achieved with the deployment of active radio frequency identification (RFID) module. The WSAN greatly consists of gateway, routers, and end devices. The main controlling unit of WSAN is AVR microcontroller which manages the transceiver section and processes the received data accordingly. This paper focuses on remote monitoring and management system for a partly automated building equipped with sensors and actuators. Here, we also explore the prospects of wireless mesh networks and design a framework for developing an intelligent and smart environment.

FPGA-Based Equalizer Design Using a Novel Adaptive Reward-Punishment VSSLMS Algorithm for Rayleigh Fading Channel

In this paper, a new and novel Reward-Punishment-based Variable Step Size Least Mean Square (RP-V... more In this paper, a new and novel Reward-Punishment-based Variable Step Size Least Mean Square (RP-VSSLMS) algorithm has been proposed and a novel methodology is used to construct a Rayleigh fading channel adaptive equalizer employing the proposed algorithm in hardware domain. As the Rayleigh fading channel reveals the property of real-time wireless communication environment, it is chosen here. The Spartan 6 FPGA board is configured here to model the digital circuitry of the proposed RP-VSSLMS algorithm using a novel “Hardware Co-simulation” technique. The hardware co-simulation analysis showed that, the proposed RP-VSSLMS algorithm has faster convergence speed, smaller steady-state misadjustment, and lesser computational complexity than the existing LMS and VSSLMS algorithms. The performance of the proposed algorithm is observed by calculating the Bit Error Rate (BER) of different modulated signals under Rayleigh Fading channel.

VoIP Technology: Applications and Challenges

Springer Series in Wireless Technology, 2019

A Fast Hardware Based Hidden Markov Model Predictor for Cognitive Radio

2016 IEEE 6th International Conference on Advanced Computing (IACC), 2016

Traditionally Cognitive Radio Networks (CRNs) have been designed to support real-time secondary u... more Traditionally Cognitive Radio Networks (CRNs) have been designed to support real-time secondary users (SUs) like VoIP. Hidden Markov Model (HMM) based prediction may provide non-real time access of channels (e.g: Wireless Body Area Network) by the cognitive users in presence of high primary users activity (PUs) that uses sensing information of PU arrival prior to SU transmission. But, HMM model is in general computationally intensive causing high prediction time. In this paper, an advanced model of HMM predictor is designed using reconfigurable FPGA platform that takes the advantage of parallel processing and pipelining architecture. The strength of this work is the design architecture for HMM predictor named as H2M2 engine which is a Hardware Co-simulation (HW-CoSim) based design taking a novel edge trigger based input. This H2M2 engine runs autonomously with minimum interaction with the embedded processor of the cognitive radios without any setup and hold time violations. Thus thi...

A framework for QOS provisioning in three layer MIPV6 architecture by RSVP extension

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010

Three Layer MIPv6 (TLMIPv6): A new mobility management protocol for IPv6 based network

2012 IEEE International Conference on Computational Intelligence and Computing Research, 2012

Fluid Flow and Random Walk Mobility Model for Wireless Mobile Network Research: A Review

Advanced Materials Research, 2011

Cyclic Prefix Based Modulation Selection Using Comparative Analysis of EVM and RCE for WiMAX Network

Communications in Computer and Information Science, 2011

The study of any individual performance measuring attribute does not necessarily confirm the sele... more

Reconfigurable method of smart antenna beam shaping in indoor fading environment using adaptive algorithms: An exhaustive experimental study

International Journal of Rf and Microwave Computer-aided Engineering, Nov 7, 2020

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Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Engineering reports, Oct 5, 2020

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An Experimental Approach Towards Adaptive Beam-Shaping using SMI Algorithm in Indoor Fading Environment

Author response for "Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results

Performance comparison of different adaptive beamforming algorithm in smart antennas

2012 5th International Conference on Computers and Devices for Communication (CODEC), 2012

Building a Model for RFID based Traffic Density Measurement System

2022 IEEE Calcutta Conference (CALCON)

Optimal RSU deployment using complex network analysis for traffic prediction in VANET

Peer-to-Peer Networking and Applications

Designing an analytical model for IEEE 802.15.6 scheduled access mode in non-saturation regime

2016 IEEE Radio and Antenna Days of the Indian Ocean (RADIO)

Developing a 3D Beam Former Model with Varied MIMO Channels

2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), 2019

Kaiser Window Based Side Lobe Level Suppression in 3D Beamforming for Massive MIMO Structure

2020 IEEE Calcutta Conference (CALCON), 2020

Implementation of Energy Efficient WBAN Using IEEE 802.15.6 Scheduled Access MAC with Fast DWT Based Backhaul Data Compression for e-Healthcare

Adaptive Packetization Algorithm to Support VoIP Over Congested WLANS

Springer Series in Wireless Technology, 2018

Intelligent Building Control Solution Using Wireless Sensor—Actuator Networking Framework

Advances in Intelligent Systems and Computing, 2017

FPGA-Based Equalizer Design Using a Novel Adaptive Reward-Punishment VSSLMS Algorithm for Rayleigh Fading Channel

VoIP Technology: Applications and Challenges

Springer Series in Wireless Technology, 2019

A Fast Hardware Based Hidden Markov Model Predictor for Cognitive Radio

2016 IEEE 6th International Conference on Advanced Computing (IACC), 2016

iti Saha Misra

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