DocumentCode
614624
Title
Optimal relay selections in two-way amplify-and-forward networks
Author
Chengyu Xiong ; Xiaohua Li
Author_Institution
Dept. of Electr. & Comput. Eng., State Univ. of New York at Binghamton, Binghamton, NY, USA
fYear
2013
fDate
20-22 March 2013
Firstpage
1
Lastpage
5
Abstract
Two-way amplify-and-forward (AP) relay network with both cooperative communication and analog network coding (ANC) has attracted great attention. In this paper, we formulate the fundamental issue, i.e., the optimal selection of multiple AF relays in a two-way dual-hop cooperative network, into linear fractional programming (LFP) problems. Firstly, in case of channel reciprocity, by minimizing the sum of the inverse of signal-to-noise ratios (SNR), the AF relays can be selected optimally by the LFP algorithms. Moreover, we derive a closed-form solution to this case, and prove that a node either participates relaying with full transmission power, or ceases relaying. Then, for the general (possibly channel non-reciprocity) case, by maximizing the weighted sum SNR, we show that the relay selection can be optimized by the sum-of-ratios LFP algorithms. Simulations are conducted to verify the proposed results.
Keywords
amplify and forward communication; cooperative communication; linear programming; network coding; relay networks (telecommunication); ANC; SNR; analog network coding; channel reciprocity; closed-form solution; linear fractional programming problems; optimal relay selections; signal-to-noise ratios; sum-of-ratio LFP algorithms; two-way AF relay network; two-way amplify-and-forward relay network; two-way dual-hop cooperative network; Abstracts; Radio access networks; Relays; Cooperative communications; analog network coding; linear fractional programming; signal-to-noise ratio; sum-of-ratios linear fractional programming; two-way relaying;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems (CISS), 2013 47th Annual Conference on
Conference_Location
Baltimore, MD
Print_ISBN
978-1-4673-5237-6
Electronic_ISBN
978-1-4673-5238-3
Type
conf
DOI
10.1109/CISS.2013.6552312
Filename
6552312
Link To Document