TY - GEN
T1 - Distributed precoder design for inter-cell interference suppressing in multi-cell MU-MIMO systems
AU - Wang, Desheng
AU - Yang, Yifan
AU - Zhu, Guangxi
AU - Du, Xiaojiang
PY - 2013
Y1 - 2013
N2 - In this paper, we propose a distributed precoder design algorithm for suppressing the inter-cell interference(ICI) and maximizing the average throughput of a multi-cell multi-user multi-input multi-output(MU-MIMO) system. Motivated by the recent results of the distributed signal-to-leakage-plus-noise ratio(SLNR) model for ICI coordination(ICIC), we design a joint optimization algorithm to achieve the pareto-optimal average system throughput. Existed SLNR-based algorithms only consider downlink optimization problem of one optimized factor, which will bring a restriction to the further improvement of the system performance. In our proposed algorithm, the SLNR-based downlink precoder and the transmitting power factor will be designed from a joint optimization problem, and the closed-form pareto-optimal solutions of both optimized factors can be obtained through matrix analysis and decomposition techniques. Simulation results show that the proposed distributed joint precoder design algorithm can significantly increase the average cell throughput and improve the resource efficiency while effectively reducing the system overhead.
AB - In this paper, we propose a distributed precoder design algorithm for suppressing the inter-cell interference(ICI) and maximizing the average throughput of a multi-cell multi-user multi-input multi-output(MU-MIMO) system. Motivated by the recent results of the distributed signal-to-leakage-plus-noise ratio(SLNR) model for ICI coordination(ICIC), we design a joint optimization algorithm to achieve the pareto-optimal average system throughput. Existed SLNR-based algorithms only consider downlink optimization problem of one optimized factor, which will bring a restriction to the further improvement of the system performance. In our proposed algorithm, the SLNR-based downlink precoder and the transmitting power factor will be designed from a joint optimization problem, and the closed-form pareto-optimal solutions of both optimized factors can be obtained through matrix analysis and decomposition techniques. Simulation results show that the proposed distributed joint precoder design algorithm can significantly increase the average cell throughput and improve the resource efficiency while effectively reducing the system overhead.
KW - SLNR
KW - multi-cell MU-MIMO system
KW - pareto-optimal
KW - power allocation
KW - precoder
UR - http://www.scopus.com/inward/record.url?scp=84881583835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881583835&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2013.6554768
DO - 10.1109/WCNC.2013.6554768
M3 - Conference contribution
AN - SCOPUS:84881583835
SN - 9781467359399
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 1398
EP - 1403
BT - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
T2 - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Y2 - 7 April 2013 through 10 April 2013
ER -