TY - GEN
T1 - On the optimization of two-way AF MIMO relay channel with beamforming
AU - Lee, Namjeong
AU - Chae, Chan Byoung
AU - Simeone, Osvaldo
AU - Kang, Joonhyuk
PY - 2010
Y1 - 2010
N2 - This paper studies the joint design of transmit beamformers, receive combiners, and linear relaying matrix for a two-way amplify-and-forward (AF) relay system equipped with multiple-antennas at sources and relay. A single data stream is transmitted by each source. Due to the non-convexity of the optimization problem, finding a solution that maximizes the sum-rate appears to be intractable. Hence, a solution to the original problem is approximated via the iterative solution of three optimization problems, one for the transmit beamformer, one for the receive combiner, and one for the linear relaying matrix. Since the latter is non-convex, a suboptimal iterative procedure is proposed. Joint optimization is assumed to be performed at the relay, which designs the transceiver (thanks to perfect channel state information) and informs the sources of the transmit beamformers/receive combiners. Finally, an upper bound to the achievable sum-rate is provided. The proposed technique shows achievable sum-rate performance very close to the upper bound. Moreover, the algorithm converges to the final solution in a reasonable number of iteration.
AB - This paper studies the joint design of transmit beamformers, receive combiners, and linear relaying matrix for a two-way amplify-and-forward (AF) relay system equipped with multiple-antennas at sources and relay. A single data stream is transmitted by each source. Due to the non-convexity of the optimization problem, finding a solution that maximizes the sum-rate appears to be intractable. Hence, a solution to the original problem is approximated via the iterative solution of three optimization problems, one for the transmit beamformer, one for the receive combiner, and one for the linear relaying matrix. Since the latter is non-convex, a suboptimal iterative procedure is proposed. Joint optimization is assumed to be performed at the relay, which designs the transceiver (thanks to perfect channel state information) and informs the sources of the transmit beamformers/receive combiners. Finally, an upper bound to the achievable sum-rate is provided. The proposed technique shows achievable sum-rate performance very close to the upper bound. Moreover, the algorithm converges to the final solution in a reasonable number of iteration.
UR - http://www.scopus.com/inward/record.url?scp=79958001642&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79958001642&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2010.5757701
DO - 10.1109/ACSSC.2010.5757701
M3 - Conference contribution
AN - SCOPUS:79958001642
SN - 9781424497218
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 918
EP - 922
BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
T2 - 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Y2 - 7 November 2010 through 10 November 2010
ER -