A game theoretic power control and spectrum sharing approach using cost dominance in cognitive radio networks
| Autor: | Hasan Mahmood, Khalid Saleem, Ghazanfar Farooq Siddiqui, Qurratul-Ain Minhas, Sundus Naseer, Naeem Bhatti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Computer science Computer Networks and Communications Cognitive radio networks 02 engineering and technology Nash equilibrium Scientific Computing and Simulation 0203 mechanical engineering Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Bandwidth (computing) Bandwidth allocation Wireless network business.industry 020206 networking & telecommunications 020302 automobile design & engineering QA75.5-76.95 Power control Network congestion Cognitive radio Cooperative congestion game Electronic computers. Computer science Resource allocation business Congestion game Computer network |
| Zdroj: | PeerJ Computer Science, Vol 7, p e617 (2021) PeerJ Computer Science |
| ISSN: | 2376-5992 |
| Popis: | The wireless networks face challenges in efficient utilization of bandwidth due to paucity of resources and lack of central management, which may result in undesired congestion. The cognitive radio (CR) paradigm can bring efficiency, better utilization of bandwidth, and appropriate management of limited resources. While the CR paradigm is an attractive choice, the CRs selfishly compete to acquire and utilize available bandwidth that may ultimately result in inappropriate power levels, causing degradation in network’s Quality of Service (QoS). A cooperative game theoretic approach can ease the problem of spectrum sharing and power utilization in a hostile and selfish environment. We focus on the challenge of congestion control that results in inadequate and uncontrolled access of channels and utilization of resources. The Nash equilibrium (NE) of a cooperative congestion game is examined by considering the cost basis, which is embedded in the utility function. The proposed algorithm inhibits the utility, which leads to the decrease in aggregate cost and global function maximization. The cost dominance is a pivotal agent for cooperation in CRs that results in efficient power allocation. Simulation results show reduction in power utilization due to improved management in cognitive radio resource allocation. |
| Databáze: | OpenAIRE |
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