Abstract
Interference resulting from Cognitive Radios (CRs) is the most important aspect of cognitive radio networks that leads to degradation in Quality of Service (QoS) in both primary and CR systems. Power control is one of the efficient techniques that can be used to reduce interference and satisfy the Signal-to-Interference Ratio (SIR) constraint among CRs. This paper proposes a new distributed power control algorithm based on game theory approach in cognitive radio networks. The proposal focuses on the channel status of cognitive radio users to improve system performance. A new cost function for SIR-based power control via a sigmoid weighting factor is introduced. The existence of Nash Equilibrium and convergence of the algorithm are also proved. The advantage of the proposed algorithm is the possibility to utilize and implement it in a distributed manner. Simulation results show considerable savings on Nash Equilibrium power compared to relevant algorithms while reduction in achieved SIR is insignificant.
Highlights
The recent development in wireless networks applications and services led to a decrease in radio spectrum resources availability of the network
Cognitive Radio (CR) is a promising technology that leads to optimal use of radio spectrum by allowing unlicensed users access to the unused parts of the licensed spectrum
We consider a 2000 m 62000 m cell with one cognitive base station located at the center and 30 CR users located randomly given by a uniform distribution
Summary
The recent development in wireless networks applications and services led to a decrease in radio spectrum resources availability of the network. Spectrum professional researchers and developers still found that licensed spectrum is underutilized in some locations and times [1]. Cognitive Radio (CR) is a promising technology that leads to optimal use of radio spectrum by allowing unlicensed users access to the unused parts (holes) of the licensed spectrum. Cognitive radios (CRs) that access the licensed spectrum are interference sources to other high priority licensed users. CRs may not cause any undue interference to licensed users by keeping interference below the interference threshold level, commonly referred to as the ‘‘interference temperature’’ limit [2]. To reduce interference and guarantee achieving intended Quality of Service (QoS), an efficient power control algorithm is required to run in the CR devices
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