<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The goal of Radio Resource Management (RRM) mechanisms is to allocate the transmission resources to the users such that the transmission requests are satisfied while several constraints are fulfilled. These constraints refer to low complexity and power consumption and high spectral efficiency and can be met by multidimensional optimization. This paper proposes a Game Theory (GT) based suboptimal solution to this multidimensional optimization problem. The results obtained by computer simulations show that the proposed RRM algorithm brings significant improvement in what concerns the average delay and the throughput, compared to other RRM algorithms, at the expense of somewhat increased complexity.</p></abstract>

The goal of Radio Resource Management (RRM) mechanisms is to allocate the transmission resources to the users such that the transmission requests are satisfied while several constraints are fulfilled. These constraints refer to low complexity and power consumption and high spectral efficiency and can be met by multidimensional optimization. This paper proposes a Game Theory (GT) based suboptimal solution to this multidimensional optimization problem. The results obtained by computer simulations show that the proposed RRM algorithm brings significant improvement in what concerns the average delay and the throughput, compared to other RRM algorithms, at the expense of somewhat increased complexity.

Game Theory Based Radio Resource Management Algorithm for Packet Access Cellular Networks

Department of Communications, Faculty of Electronics, Telecommunications and Information Technology

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The goal of Radio Resource Management (RRM) mechanisms is to allocate the transmission resources to the users such that the transmission requests are satisfied...

Game Theory Based Radio Resource Management Algorithm for Packet Access Cellular Networks

Published Online: Jan 19, 2018

Page range: 19 - 32

Received: Sep 10, 2017

DOI: https://doi.org/10.1515/auseme-2017-0007

Keywords
game theory, cellular network, bargaining theory, radio resource management, quality of service, service class

© 2017 Mihály Varga et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Game Theory Based Radio Resource Management Algorithm for Packet Access Cellular Networks

Published Online: Jan 19, 2018

Page range: 19 - 32

Received: Sep 10, 2017

DOI: https://doi.org/10.1515/auseme-2017-0007

Keywordsgame theory, cellular network, bargaining theory, radio resource management, quality of service, service class

© 2017 Mihály Varga et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
game theory, cellular network, bargaining theory, radio resource management, quality of service, service class