Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81474
Title: Joint antenna and relay selection strategies for decode-and-forward relay networks
Authors: Swaminathan, Ramabadran
Karagiannidis, George K.
Roy, Rajarshi
Keywords: Antenna and relay selection strategies
Decode-and-forward (DF)
Issue Date: 2016
Source: Swaminathan, R., Karagiannidis, G. K., & Roy, R. (2016). Joint antenna and relay selection strategies for decode-and-forward relay networks. IEEE Transactions on Vehicular Technology, 65(11), 9041-9056.
Series/Report no.: IEEE Transactions on Vehicular Technology
Abstract: Cooperative diversity systems with optimal and suboptimal antenna and relay selection have been paid significant attention for more than half a decade. However, optimal antenna and relay selection strategies require global channel state information (CSI), which is a cumbersome process. In this paper, we propose a diversity-optimal and three suboptimal transmit-receive antenna and relay selection strategies, named S1, S2, and S3, for decode-and-forward cooperative relaying systems, equipped with Nt and Nr antennas at the source (S) and the destination (D), respectively, and considering a multirelay scenario. Furthermore, we study the symbol error probability (SEP) for these strategies, assuming M-ary phase-shift keying signaling over Rayleigh fading channels. In addition, we perform diversity order analysis through closed-form asymptotic SEP expressions. Since the proposed suboptimal strategies, i.e., S2 and S3, involve the socalled switch-and-examine combining scheme, we compare the complexity of S1, S2, and S3 in terms of the average number of CSI required at D to select the best transmit-receive antenna pair and relay. From the derived SEP expressions, it can be concluded that all three suboptimal strategies achieve the same diversity order of NtNr + N, where N is the number of relays, except for the case when the switching threshold signal-to-noise ratio (SNR) is much lower than the average SNR in S2 and S3. Finally, the diversity-optimal strategy achieves full diversity order of NtNr + N min(Nt, Nr).
URI: https://hdl.handle.net/10356/81474
http://hdl.handle.net/10220/42254
ISSN: 0018-9545
DOI: 10.1109/TVT.2016.2515265
Schools: School of Computer Science and Engineering 
Rights: © 2016 IEEE
Fulltext Permission: none
Fulltext Availability: No Fulltext
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