Abstract
In communication industry one of the most rapidly growing area is wireless technology and its applications. The efficient access to radio spectrum is a requirement to make this communication feasible for the users that are running multimedia applications and establishing real-time connections on an already overcrowded spectrum. In recent times cognitive radios (CR) are becoming the prime candidates for improved utilization of available spectrum. The unlicensed secondary users share the spectrum with primary licensed user in such manners that the interference at the primary user does not increase from a predefined threshold. In this paper, we propose an algorithm to address the power control problem for CR networks. The proposed solution models the wireless system with a non-cooperative game, in which each player maximize its utility in a competitive environment. The simulation results shows that the proposed algorithm improves the performance of the network in terms of high SINR and low power consumption.
Highlights
The radio spectrum these days has been allotted on a dedicated basis
The cognitive network consists of a cognitive base station (CBS) with multiple cognitive users (CU) each transmitting with transmission power Psec over the same frequency band that is purchased by primary user
We present a comparative analysis of the proposed algorithm with previously proposed power control algorithms designed for cognitive networks for various network parameters
Summary
The radio spectrum these days has been allotted on a dedicated basis. In other words, each wireless network gets an unique license to operate in a specific frequency band. The main objective of this technology is the maximum utilization of the available spectrum of PUs while maintaining the quality of communication between the cognitive users (CU) under the condition that the interference to the PU does not increases from a threshold limit In this dynamic way of spectrum sharing, we can check the capacitive gains when the channel varies due to fading effect, and the results are quite convincing. In [15], a joint power and rate control algorithm for cognitive users in cognitive radio network (CRN) was proposed by using a non-cooperative model based on game theoretical approach. In [19] the power control problem and beamforming was jointly studied keeping the main focus on reducing the transmitted power of the CR network in such manners that the PU does not suffer from received interference while the QoS requirements for the secondary users are satisfied [19].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
