DocumentCode :
2128449
Title :
Limiting harmful interference to the primary users through joint power allocation and beamforming in the uplink of cognitive radio networks
Author :
Noori, Narges ; Razavizadeh, S. Mohammad ; Attar, Alireza
Author_Institution :
Iran Telecomm. Res. Center, Tehran, Iran
fYear :
2009
fDate :
13-16 Sept. 2009
Firstpage :
1246
Lastpage :
1250
Abstract :
A cognitive radio (CR) network is a secondary network operating in the frequency band and geographical area of a primary network to which the spectrum is licensed. In this paper, we consider a primary broadcasting network consisting of a transmitter and a number of primary users (PUs). The secondary users (SUs) make opportunistic unlicensed spectrum access to communicate with their base station (BS). With this system model, a joint power allocation and beamforming scheme is proposed in the uplink of the CR network to minimize the maximum interference to the PUs in two different scenarios. In the first scenario, the primary transmitter does not cooperate with the CR network and it transmits with a fixed power, whereas it cooperates in the joint power allocation and beamforming scheme and adjusts its transmission power accordingly, in the second scenario. In the former case, our proposed joint power allocation and beamforming scheme finds the beamforming weights and transmission power values under quality of service (QoS) constraints of all SUs, taking into account their maximum transmission power constraints. In the latter case, the proposed scheme finds the beamforming weights of the BS and transmission powers of primary transmitter and SUs under their target signal-to-interference-plus-noise ratios (SINRs) and maximum power constraints. Our approach employs Genetic Algorithm (GA) to determine optimum transmission power values and beamforming weight vectors. Simulation results show the performance of the proposed scheme.
Keywords :
array signal processing; cognitive radio; genetic algorithms; quality of service; radio networks; radiofrequency interference; QoS constraints; base station; beamforming weight vectors; cognitive radio networks; genetic algorithm; joint power allocation; maximum transmission power constraints; opportunistic unlicensed spectrum access; primary broadcasting network; primary transmitter; quality of service constraints; signal-to-interference-plus-noise ratios; uplink beamforming scheme; Array signal processing; Base stations; Chromium; Cognitive radio; Frequency; Interference; Power system modeling; Quality of service; Radio broadcasting; Radio transmitters; beamforming; cognitive radio network; genetic algorithm; minimum SINR maximization; power allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5122-7
Electronic_ISBN :
978-1-4244-5123-4
Type :
conf
DOI :
10.1109/PIMRC.2009.5449901
Filename :
5449901
Link To Document :
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