Title
On Ergodic Sum Capacity of Fading Channels in OFDMA-Based Cognitive Radio Networks
Abstract
An orthogonal frequency-division multiple access (OFDMA)-based cognitive radio network (CRN) is considered where cognitive radio users (CRUs) can only access the frequency bands not being occupied by primary users (PUs) while keeping the cross-channel interference to each PU under a specified threshold. In this paper, we investigate the ergodic sum capacity of all CRUs in OFDMA-based networks and consider the constraints on the long-term transmit power of all CRUs, the long-term interference thresholds of PUs, and the statistical proportional fairness of all CRUs. In OFDMA-based CRNs, the number of available subchannels is smaller than that of CRUs in some OFDM symbol durations. To deal with this time-varying nature of available spectrum resource and achieve the ergodic sum capacity of all CRUs, we propose an optimal resource-allocation algorithm under the given constraints. Simulation results show that the proposed algorithm can achieve substantial capacity gains for CRUs over the traditional resource-allocation algorithm and maintain the statistical proportional rate constraints of all CRUs.
Year
DOI
Venue
2014
10.1109/TVT.2014.2312416
Vehicular Technology, IEEE Transactions  
Keywords
Field
DocType
OFDM modulation,channel capacity,cognitive radio,fading channels,frequency division multiple access,interference suppression,radiofrequency interference,resource allocation,CRN,OFDMA,cognitive radio networks,cognitive radio users,cross-channel interference,ergodic sum capacity,fading channels,long-term interference thresholds,long-term power transmission,orthogonal frequency-division multiple access,primary users,resource-allocation algorithm,spectrum resource,statistical proportional fairness,Cognitive radio (CR),ergodic sum capacity,fading channels,orthogonal frequency-division multiple access (OFDMA),resource allocation
Radio resource management,Fading,Computer science,Ergodic theory,Co-channel interference,Computer network,Communication channel,Electronic engineering,Channel allocation schemes,Cognitive radio
Journal
Volume
Issue
ISSN
63
9
0018-9545
Citations 
PageRank 
References 
4
0.41
15
Authors
2
Name
Order
Citations
PageRank
Li Li17624.03
Changqing Xu212917.74