Stojan Kitanov

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Possibile Topics:
- Ubiquitious Computing
- Mobile Cloud Computing
- Interworking between Wireless Access Networks
- Regulation Framework at the Core Part
Supervisors: Toni Janevski

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Alysson M. Costa

Universidade de São Paulo

David Seamon

Kansas State University

Vasant G Honavar

Pennsylvania State University

Patrick Lowenthal

Boise State University

S. Sadi SEFEROGLU

Hacettepe University

Lynette Kvasny

Pennsylvania State University

eanes pereira

UFCG - Universidade Federal de Campina Grande

Mohammad Shojafar

University of Surrey

Annajiat Alim Rasel

BRAC University

Journal of Computer Science IJCSIS

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Papers by Stojan Kitanov

The Role of Edge Artificial Intelligence in 6G Networks

2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Jun 16, 2022

The Role of Edge Artificial Intelligence in 6G Networks

2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

Simulator for the LTE Link Level Performance Evaluation

The concepts of 4G have already been much discussed by a number of global research initiatives an... more The concepts of 4G have already been much discussed by a number of global research initiatives and at the moment are in the process of standardization. Since the 4G concepts have already moved to the standardization phase, it is time to start working on the building blocks of the Next Generation of Wireless and Mobile Networks, 5G. LTE provides high data rates that are needed for the availability of new services and mobile applications. Therefore LTE is seen as a potential technology candidate for 5G. This paper describes an LTE link level simulation, which tests the performance of an LTE link level channel. The simulator offers to carry out single-downlink, single-cell multi-user, and multi-cell multi-user simulations. The simulation results will contribute for the network optimization of LTE (and 5G in the future). Additionally, by adding new functionalities to the simulator, the researchers can create and test different network scenarios.

Comparison of Dirty Paper Coding and Tomlison-Harashima Precoding for Downlink MU-MIMO Wireless Communication Systems - Poster Presentation at the European School of Information Theory - ESIT 2013, Ohrid, Macedonia

The next generation of wireless and mobile mobile communication systems requires a reliable trans... more The next generation of wireless and mobile mobile communication systems requires a reliable transmission of high data rates under various channel types and different scenarios. The very high data rates that are required for future wireless and mobile communication systems do not appear to be feasible with the conventional techniques and architectures. The goal of reaching high data rates is particularly challenging for systems that are power, bandwidth, and complexity limited. However, another domain can be exploited to significantly increase channel capacity: the spatial dimension. This is achieved by the use of multiple transmit and receive antennas. Especially, Multi-User MIMO (MU-MIMO) system has brought a great improvement in the system capacity and spectral efficiency by serving multiple users simultaneously. Here will be presented a mathematical model of the downlink MU-MIMO system and its capacity, as well as different precoded transmission schemes for implementing the downl...

Quality of Artificially Intelligently Orchestrated Services in 6G Mobile Networks

JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGIES

Fog Computing Mechanisms in 5G Mobile Networks

Networks of the Future, 2017

6G Mobile Networks: Research Trends, Challenges and Potential Solutions

Journal of Electrical Engineering and Information Technologies, 2021

Since the standardization of 5G mobile networks has been completed, the deployments of 5G network... more Since the standardization of 5G mobile networks has been completed, the deployments of 5G network has started all over the world. 5G mobile and wireless networks have achieved significant improvements in terms of latency, data rates, spectral efficiency, mobility and number of connected smart mobile devices. Therefore, they have marked the beginning of a true digital society. Although 5G network offers support of many broadband applications and services, still it may not be able to meet the rapid increase of the traffic demands. Therefore, the main research and development activities started to focus on the next 6G mobile and wireless network, which is expected to be commercially available around 2030. In this direction, this paper highlights the vision of the technologies used in 6G network, 6G network architecture, 6G network challenges and potential solutions. Key words; 5G; 6G; Artificial Intelligence (AI); Internet of Things (IoT); mobile networks; mobile technology МОБИЛНИ 6G МРЕЖИ: НАСОКИ НА ИСТРАЖУВАЊЕ, ПРЕДИЗВИЦИ И МОЖНИ РЕШЕНИЈА А п с т р а к т: Бидејќи процесот на стандардизацијата на мобилните 5G мрежи е веќе завршен, започната е имплементацијата на мрежата 5G низ целиот свет. Мобилните и безжични мрежи 5G имаат значителни подобрувања во поглед на латентноста, податочните брзини, спектралната ефикасност, мобилноста и бројот на поврзани уреди. Затоа тие го имаат означено почетокот на вистинско дигитално општество. Иако 5G-мрежата нуди поддршка на голем број апликации и сервиси, сепак нема да биде во можност да ги задоволи барањата на рапидно зголемените сообраќајни побарувања. Затоа главните истражувачки и развојни активности почнаа да се фокусираат на идните мобилни и безжични мрежи 6G за кои се очекува да бидат комерцијално достапни околу 2030 година. Во таа насока, овој труд ја истакнува визијата на технологиите што ќе се користат во мобилните 6G мрежи, 6G-мрежната архитектура, предизвиците на 6G-мрежите, како и потенцијалните решенија.

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Advanced QoS Provisioning and Mobile Fog Computing for 5G

Wireless Communications and Mobile Computing, 2018

This paper presents a novel QoS and mobile cloud and fog computing framework for future fifth gen... more This paper presents a novel QoS and mobile cloud and fog computing framework for future fifth generation (5G) of mobile and fixed nodes with radio network aggregation capability. The proposed 5G framework is leading to high QoS provisioning for any given multimedia service, higher bandwidth utilization, traffic load sharing, mobile cloud plus fog computing features, and multi-radio interface capabilities. The framework is user-centric, targeted at always-on connectivity with using radio network aggregation for available mobile broadband connections, and empowered with mobile cloud and fog computing advantages. Moreover, our proposed framework is using Lyapunov drift-plus-penalty theorem that provides a methodology for designing algorithm to maximize the average throughput and stabilize the queuing. Also, we are showing the upper bound of the consumed power and the lower bound of the battery lifetime for the proposed 5G terminal. The advanced performance of our 5G QoS plus MCC framew...

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Energy Efficiency of 5G Mobile Networks in Hybrid Fog and Cloud Computing Environment

The new emerging applications in 5G network, in the context of the Internet of Everything (IoE), ... more The new emerging applications in 5G network, in the context of the Internet of Everything (IoE), will introduce high mobility, high scalability, real-time, and low latency requirements that raise new challenges on the services being provided to the users. Fortunately, Fog Computing and Cloud Computing, with their service orchestration mechanisms offer virtually unlimited dynamic resources for computation, storage and service provision, that will effectively cope with the requirements of the forthcoming services. 5G will use the benefits of centralized high performance computing cloud centers, cloud and fog RANs and distributed peer-to-peer mobile cloud that will create opportunities for companies to deploy many new real-time services that cannot be delivered over current mobile and wireless networks. This paper evaluates a model for fog and cloud hybrid environment service orchestration mechanisms for 5G network in terms of energy efficiency per user for different payloads.

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Fog Computing Service Orchestration Mechanisms for 5G Networks

Journal of Internet Technology, 2018

5G network will enable new future Internet of Services paradigms such as Anything as a Service, w... more 5G network will enable new future Internet of Services paradigms such as Anything as a Service, where devices, terminals, machines, also smart things and robots will become innovative tools that will produce and will use applications, services and data. However, the emerging applications in the context of the Internet of Everything introduce high mobility, high scalability, real-time, and low latency requirements that raise new challenges on the services being provided to the users. Fortunately, Fog Computing or briefly Fog, which extends Cloud Computing to the edge of the network, with its service orchestration mechanisms offers virtually unlimited dynamic resources for computation, storage and service provision, that will effectively cope with the requirements of the forthcoming services. 5G in the fog computing environment will create opportunities for companies to deploy many new real-time services that cannot be delivered over current mobile and wireless networks. This paper ev...

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Energy efficiency of Fog Computing and Networking services in 5G networks

IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

Today many users with their smart mobile devices enjoy the benefits of broadband Internet service... more Today many users with their smart mobile devices enjoy the benefits of broadband Internet services. This is primarily enabled by pushing computing, control, data storage and processing into the cloud. However, the cloud encounters growing limitations, such as reduced latency, high mobility, high scalability and real-time execution in order to meet the computing and intelligent networking demands for the next 5G mobile and wireless network. A new paradigm called Fog Computing and Networking, or briefly Fog has emerged to resolve these limits. Fog distributes computing, data processing, and networking services closer to the end users. It is an architecture where distributed edge and user devices collaborate with each other and with the clouds to carry out computing, control, networking, and data management tasks. Fog applied in 5G network can significantly improve network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This paper evaluates the quality of cloud and fog computing and networking orchestrated services in 5G mobile and wireless network in terms of energy efficiency.

Introduction to Fog Computing

The Rise of Fog Computing in the Digital Era, 2019

Pushing computing, control, data storage, and processing into the cloud has been a key trend in t... more Pushing computing, control, data storage, and processing into the cloud has been a key trend in the past decade. However, the cloud alone encounters growing limitations, such as reduced latency, high mobility, high scalability, and real-time execution in order to meet the upcoming computing and intelligent networking demands. A new paradigm called fog computing has emerged to overcome these limits. Fog extends cloud computing and services to the edge of the network. It provides data, computing, storage, and application services to end-users that can be hosted at the network edge. It reduces service latency, and improves QoS/QoE, that results in superior user experience. This chapter is about introduction and overview of fog computing, comparison between fog computing and cloud computing, fog computing and mobile edge computing, possible fog computing architecture, applications of fog computing, and possible research directions.

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Quality Evaluation of Cloud and Fog Computing Services in 5G Networks

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, 2021

Because of the increased computing and intelligent networking demands in 5G network, cloud comput... more Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technolog...

Introduction to Fog Computing

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, 2021

Fog Computing as a Support for 5G Network

Journal of Emerging research and solutions in ICT, 2016

5G will enable new future Internet of Services (IoSs) paradigms such as Anything as a Service (Aa... more 5G will enable new future Internet of Services (IoSs) paradigms such as Anything as a Service (AaaS), where devices, terminals, machines, also smart things and robots will become innovative tools that will produce and will use applications, services and data. However, 5G will have to support huge mobile traffic volumes, and will also have to deal with the rapid increase of new and complex applications and services. On the other hand, Fog Computing, which extends Cloud Computing to the edge of the network, with its service orchestration mechanisms offers virtually unlimited dynamic resources for computation, storage and service provision, that will overcome the constraints of smart mobile devices. 5G in the fog computing environment will create opportunities for companies to deploy many new real-time services that cannot be delivered over current mobile and wireless networks. This paper evaluates Fog Computing as a support mechanism for 5G Network in terms of latency, throughput, and energy efficiency.

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State of the art: Fog computing for 5G networks

2016 24th Telecommunications Forum (TELFOR), 2016

5G will enable the future Internet of Everything (IoE) paradigm, where devices, terminals, machin... more 5G will enable the future Internet of Everything (IoE) paradigm, where devices, terminals, machines, and also smart things and robots will become innovative tools that will produce and use applications, services and data. However, future Internet will exacerbate the need for improved QoS/OoE, supported by services that are orchestrated on-demand and that are capable to adapt at runtime depending on the contextual conditions, to allow reduced latency, high mobility, high scalability and real time execution. A new paradigm called Fog Computing has emerged to meet these requirements. It extends Cloud Computing to the network edge, allowing low latency, load balancing and flexible mobility support, and showing as a promising solution for 5G network. This paper evaluates Fog Computing service orchestration as a support mechanism for 5G Network in terms of round trip time latency.

5G and the Fog — Survey of related technologies and research directions

2016 18th Mediterranean Electrotechnical Conference (MELECON), 2016

The rapid and quick growth of smart mobile devices has caused users to demand pervasive mobile br... more The rapid and quick growth of smart mobile devices has caused users to demand pervasive mobile broadband services comparable to the fixed broadband Internet. In this direction, the research initiatives on 5G networks have gained accelerating momentum globally. 5G Networks will act as a nervous system of the digital society, economy, and everyday peoples life and will enable new future Internet of Services paradigms such as Anything as a Service, where devices, terminals, machines, also smart things and robots will become innovative tools that will produce and will use applications, services and data. However, future Internet will exacerbate the need for improved QoS/QoE, supported by services that are orchestrated on-demand and that are capable of adapt at runtime, depending on the contextual conditions, to allow reduced latency, high mobility, high scalability, and real time execution. A new paradigm called Fog Computing, or briefly Fog has emerged to meet these requirements. Fog Computing extends Cloud Computing to the edge of the network, reduces service latency, and improves QoS/QoE, resulting in superior user-experience. This paper provides a survey of 5G and Fog Computing technologies and their research directions, that will lead to Beyond-5G Network in the Fog.

Performance Evaluation of Scheduling Strategies for LTE Networks in Downlink Direction

ABSTRACT

Modeling and Analyzing LTE Networks with EstiNet Network Simulator and Emulator

ABSTRACT

Future Internet, Cloud Computing, and Quality of Experience for Distance and Mobile Learning

Together with the explosive and rapid growth of internet, mobile networks, mobile applications, a... more Together with the explosive and rapid growth of internet, mobile networks, mobile applications, and Cloud Computing (CC), mobile cloud computing is introduced as a potential technology for mobile services. Mobile Cloud Computing (MCC) integrates the cloud computing into the mobile environment and overcomes obstacles related to the performance (battery life, storage, and bandwidth), environment (heterogeneity, scalability and availability), and security (reliability and privacy). One potential application of MCC is the Mobile Distance Learning (MDL), where the students can get the knowledge from centralized shared resources at any place and any time. This paper proposes architecture of Mobile Distance Learning (MDL) system in an extended cloud computing, a Mobile Cloud Computing (MCC) environment by using some existing videoconferencing technologies enriched with mobile and wireless devices. The Cisco WebEx application will be used as a part of the distance learning in both conventio...

The Role of Edge Artificial Intelligence in 6G Networks

2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Jun 16, 2022

The Role of Edge Artificial Intelligence in 6G Networks

2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

Simulator for the LTE Link Level Performance Evaluation