DocumentCode :
1261245
Title :
Computationally Efficient Relay Antenna Selection for AF MIMO Two-Way Relay Channels
Author :
Heesun Park ; Joohwan Chun ; Adve, Raviraj S.
Volume :
60
Issue :
11
fYear :
2012
Firstpage :
6091
Lastpage :
6097
Abstract :
This correspondence develops a computationally efficient scheme to select a subset of relay antennas to maximize the achievable sum rate (ASR) of amplify-and-forward multiple-input multiple-output two-way relay channels. To reduce the computational complexity of antenna selection (AS), two sequential AS algorithms, joint AS (JAS) and separate AS (SAS), are proposed. JAS jointly selects a pair of receive-transmit antennas at each sequential step. In contrast, SAS separates receive and transmit AS into a two-stage algorithm; the receive antenna set is selected first, followed by selection of the transmit antennas. Simulation results show that the proposed algorithms achieve nearly the same ASR as compared to an exhaustive search, but with significantly reduced computational complexity.
Keywords :
MIMO communication; amplify and forward communication; antenna arrays; computational complexity; receiving antennas; relays; transmitting antennas; wireless channels; AF MIMO two-way relay channel; ASR maximization; JAS; achievable sum rate maximization; amplify-and-forward multiple-input multiple-output two-way channel; computational complexity; computationally efficient relay antenna selection; exhaustive search; joint AS; receive-transmit antenna set; sequential AS algorithm; Computational complexity; MIMO; Receiving antennas; Relays; Transmitting antennas; Upper bound; Achievable sum rate; MIMO two-way relay channel; amplify-and-forward (AF); antenna selection; computational complexity;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2012.2212435
Filename :
6263310
Link To Document :
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