DocumentCode
1627563
Title
Performance Analysis of Cognitive Radio Networks with Average Interference Power Constraints
Author
Hong, Xuemin ; Wang, Cheng-Xiang ; Chen, Hsiao-Hwa ; Thompson, John
Author_Institution
Joint Res. Inst. for Signal & Image Process., Heriot-Watt Univ., Edinburgh
fYear
2008
Firstpage
3578
Lastpage
3582
Abstract
In this paper we study the system level performance of cognitive radio (CR) networks under average received interference power constraints. Under the assumption of uniform node placements and a simple power control scheme, we derive the closed-form expression for the cumulative distribution function (CDF) of the maximum allowable transmit power of the target CR transmitter. We further study two CR network scenarios: a CR based central access network and a CR assisted virtual multiple-input multiple-output (MIMO) network. The average uplink capacities of both networks are derived and analyzed, with an emphasis on understanding the effect of the numbers of primary users and CR users on the capacity. Numerical and simulation results demonstrate that the CR based central access network is more suitable for less-populated rural areas where a lower density of primary receivers is expected, while the CR assisted virtual MIMO network performs better in urban environments with a dense population of mobile CR users.
Keywords
MIMO communication; cognitive radio; radio networks; average interference power constraints; closed-form expression; cognitive radio networks; cumulative distribution function; maximum allowable transmit power; performance analysis; received interference power constraints; uniform node placements; virtual multiple-input multiple-output network; Chromium; Closed-form solution; Cognitive radio; Distribution functions; Interference constraints; MIMO; Numerical simulation; Performance analysis; Power control; Radio transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2075-9
Electronic_ISBN
978-1-4244-2075-9
Type
conf
DOI
10.1109/ICC.2008.673
Filename
4533709
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