TY - JOUR
T1 - MMSE Transceiver Design for Full-Duplex MIMO Relay Systems
AU - Lin, Chun Tao
AU - Tseng, Fan Shuo
AU - Wu, Wen-Rong
N1 - Publisher Copyright:
© 1967-2012 IEEE.
PY - 2017/8
Y1 - 2017/8
N2 - Full-duplex (FD) multiple-input multiple-output relaying has been considered an effective scheme to increase the spectral efficiency for wireless communications. As known, the main problem for the FD system is the cancellation of loop interference (LI). In this paper, we propose using the joint source/relay precoding to reduce the influence of LI. Therein, linear precoders are used at the source and relay, while the minimum mean-squared-error receiver is adopted at the destination. The joint precoder design is complicated when spatial multiplexing is exploited for signal transmission. To solve the problem, we propose an iterative method in which the original problem is split into two subproblems. With some matrix properties, we then show that each subproblem can be formulated as a convex optimization. Finally, a closed-form solution can be obtained with the Karush-Kuhn-Tucker conditions. Using a mean-squared-error upper bound, we also propose a low-complexity method to reduce the computational complexity. The proposed precoders have closed-form expressions, which is a great advantage in real-world implementation. Simulation results show that the proposed methods significantly outperform existing ones.
AB - Full-duplex (FD) multiple-input multiple-output relaying has been considered an effective scheme to increase the spectral efficiency for wireless communications. As known, the main problem for the FD system is the cancellation of loop interference (LI). In this paper, we propose using the joint source/relay precoding to reduce the influence of LI. Therein, linear precoders are used at the source and relay, while the minimum mean-squared-error receiver is adopted at the destination. The joint precoder design is complicated when spatial multiplexing is exploited for signal transmission. To solve the problem, we propose an iterative method in which the original problem is split into two subproblems. With some matrix properties, we then show that each subproblem can be formulated as a convex optimization. Finally, a closed-form solution can be obtained with the Karush-Kuhn-Tucker conditions. Using a mean-squared-error upper bound, we also propose a low-complexity method to reduce the computational complexity. The proposed precoders have closed-form expressions, which is a great advantage in real-world implementation. Simulation results show that the proposed methods significantly outperform existing ones.
KW - Full duplex (FD)
KW - joint transceiver design
KW - loop interference (LI)
KW - minimum mean-squared error (MMSE)
KW - multiple-input multiple-output (MIMO) relaying
UR - http://www.scopus.com/inward/record.url?scp=85029494199&partnerID=8YFLogxK
U2 - 10.1109/TVT.2017.2653218
DO - 10.1109/TVT.2017.2653218
M3 - Article
AN - SCOPUS:85029494199
SN - 0018-9545
VL - 66
SP - 6849
EP - 6861
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 8
M1 - 7817896
ER -