TY - GEN
T1 - Coordinated precoding and proactive interference cancellation in mixed interference scenarios
AU - Wang, Yunlu
AU - Tian, Yafei
AU - Li, Yang
AU - Yang, Chenyang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2016/4/3
Y1 - 2016/4/3
N2 - In heterogeneous cellular networks, cross-tier inter-cell interference is often in mixed interference scenario where the macro-cell causes strong interference to pico-cells while pico-cells only cause weak interference to the macro-cell. In this scenario, the popular interference coordination schemes using power control or time/frequency division multiplexing are far from achieving the spectrum efficiency potential. Exploiting the difference of transmit powers and channel gains in heterogeneous networks, the transmission schemes based on interference cancelation have great opportunity to gain more throughput benefit. In this paper, we propose a coordinated precoding and proactive interference cancelation scheme, where the precoding design is based on the known decoding order and is to maximize the sum-rate of two interfering users. Since the optimization problem is non-convex, we find a local maximum by constructing a concave lower bound of the objective function and iteratively tightening it. Simulation results show that the network throughput is remarkably improved in mixed interference scenarios relative to orthogonal division scheme and coordinated multipoint transmission scheme with zero forcing precoding.
AB - In heterogeneous cellular networks, cross-tier inter-cell interference is often in mixed interference scenario where the macro-cell causes strong interference to pico-cells while pico-cells only cause weak interference to the macro-cell. In this scenario, the popular interference coordination schemes using power control or time/frequency division multiplexing are far from achieving the spectrum efficiency potential. Exploiting the difference of transmit powers and channel gains in heterogeneous networks, the transmission schemes based on interference cancelation have great opportunity to gain more throughput benefit. In this paper, we propose a coordinated precoding and proactive interference cancelation scheme, where the precoding design is based on the known decoding order and is to maximize the sum-rate of two interfering users. Since the optimization problem is non-convex, we find a local maximum by constructing a concave lower bound of the objective function and iteratively tightening it. Simulation results show that the network throughput is remarkably improved in mixed interference scenarios relative to orthogonal division scheme and coordinated multipoint transmission scheme with zero forcing precoding.
UR - https://www.scopus.com/pages/publications/84912123289
U2 - 10.1109/WCNC.2014.6952088
DO - 10.1109/WCNC.2014.6952088
M3 - 会议稿件
AN - SCOPUS:84912123289
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 554
EP - 558
BT - 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
Y2 - 6 April 2014 through 9 April 2014
ER -