Direct Link-Aware Optimal Relay Selection and a Low Feedback Variant for Underlay CR

被引:16
作者
Das, Priyanka [1 ]
Mehta, Neelesh B. [1 ]
机构
[1] Indian Inst Sci IISc, Dept Elect Commun Engn ECE, Bangalore 560012, Karnataka, India
关键词
Underlay cognitive radio; interference constraint; cooperative communications; relays; amplify-and-forward; selection; symbol error probability; feedback; COGNITIVE RADIO NETWORKS; OUTAGE PROBABILITY; ERROR-PROBABILITY; DIVERSITY; LIMITS; POWER;
D O I
10.1109/TCOMM.2015.2432026
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cooperative relaying combined with selection has been extensively studied in the literature to improve the performance of interference-constrained secondary users in underlay cognitive radio (CR). We present a novel symbol error probability (SEP)-optimal amplify-and-forward relay selection rule for an average interference-constrained underlay CR system. A fundamental principle, which is unique to average interference-constrained underlay CR, that the proposed rule brings out is that the choice of the optimal relay is affected not just by the source-to-relay, relay-to-destination, and relay-to-primary receiver links, which are local to the relay, but also by the direct source-to-destination (SD) link, even though it is not local to any relay. We also propose a simpler, practically amenable variant of the optimal rule called the 1-bit rule, which requires just one bit of feedback about the SD link gain to the relays, and incurs a marginal performance loss relative to the optimal rule. We analyze its SEP and develop an insightful asymptotic SEP analysis. The proposed rules markedly outperform several ad hoc SD link-unaware rules proposed in the literature. They also generalize the interference-unconstrained and SD link-unaware optimal rules considered in the literature.
引用
收藏
页码:2044 / 2055
页数:12
相关论文
共 35 条
[1]  
Abramowitz M., 1972, Handbook on Mathematical Functions with Formulas, Graphs, and Mathematical Tables
[2]   Exact symbol error probability of a cooperative network in a Rayleigh-Fading environment [J].
Anghel, PA ;
Kaveh, M .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2004, 3 (05) :1416-1421
[3]  
[Anonymous], 2006, NTT DOCOMO TECHNICAL
[4]  
Bhatnagar M. R., 2014, P INT C HUM BEH DES, P1, DOI DOI 10.1109/TVT.2014.2373389
[5]  
Billingsley Patrick, 1995, Probability and Measure
[6]   New exponential bounds and approximations for the computation of error probability in fading channels [J].
Chiani, M ;
Dardari, D ;
Simon, MK .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2003, 2 (04) :840-845
[7]  
Chih-Wen Chang, 2011, Proceedings of the 2011 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM 2011), P306, DOI 10.4108/icst.crowncom.2011.245893
[8]   Novel Relay Selection Rules for Average Interference-Constrained Cognitive AF Relay Networks [J].
Das, Priyanka ;
Mehta, Neelesh B. ;
Singh, Gagandeep .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (08) :4304-4315
[9]   Optimal Channel Estimation and Training Design for Two-Way Relay Networks [J].
Gao, Feifei ;
Zhang, Rui ;
Liang, Ying-Chang .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2009, 57 (10) :3024-3033
[10]   Fundamental limits of spectrum-sharing in fading environments [J].
Ghasemi, Amir ;
Sousa, Elvino S. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2007, 6 (02) :649-658