Title :
Uplink cell capacity of cognitive radio networks with peak interference power constraints
Author :
Hong, Xuemin ; Wang, Cheng-Xiang ; Thompson, John
Author_Institution :
Joint Res. Inst. for Signal & Image Process., Heriot-Watt Univ., Edinburgh
Abstract :
A cognitive radio (secondary) network can reuse the under-utilized spectrum licensed to a primary network on a non-interruptive basis. In this paper, we study the uplink capacity of a secondary network where a secondary base station (BS) is located at the center while multiple secondary users are uniformly distributed within a circular cell of radius R. Primary users are assumed to be distributed in the same plane according to a Poisson point process with a density parameter lambdap. To protect primary services, secondary users can only transmit under a peak interference power constraint which guarantees that the instantaneous interference power perceived by any primary user is not larger than a certain threshold. In addition, we assume an opportunistic scheduler at the BS which exploits multi-user diversity among M secondary users and stochastically maximize the cell capacity.We first study the capacity with a simple channel model considering only the path loss and derive the closed-form cumulative distribution function (CDF) of the capacity. We then study the capacity with realistic fading channel models using a semi-analytical approach. The impacts of the parameters R, lambdap, and M on the capacity are quantified and discussed. Moreover, we find that shadowing and fading only have limited impacts on the distribution of the capacity.
Keywords :
cognitive radio; stochastic processes; Poisson point process; closed-form cumulative distribution function; cognitive radio networks; instantaneous interference power; peak interference power constraints; primary network; secondary base station; under-utilized spectrum licensed; uplink cell capacity; Base stations; Cognitive radio; Degradation; Fading; Frequency; Image processing; Interference constraints; Licenses; Power system modeling; Signal processing;
Conference_Titel :
Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
Conference_Location :
Fujian
Print_ISBN :
978-1-4244-2063-6
Electronic_ISBN :
978-1-4244-2064-3
DOI :
10.1109/ICCCAS.2008.4657796