Title :
New Interference Alignment Algorithms Based on Desired Signals for Two-Cell MIMO Interfering Multiple-Access Channels
Author :
Lijun Bai ; Li Hao
Author_Institution :
Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu, China
Abstract :
In this paper, we propose two new iterative algorithms termed maximum-power interference alignment (MP-IA) and maximum-SINR IA (MSINR-IA) in two-cell multiple-input multiple-output (MIMO) interfering multiple-access channels (IMACs) which optimize the IA reference vectors from the perspective of maximizing the effective power of the desired signals and received signal to interference and noise (SINR), respectively. Under perfect feedback as well as limited feedback scenarios, the proposed schemes are evaluated in terms of the average sum rate and bit error rate (BER) performance and the simulation results show the advantages of the proposed schemes over existing algorithms.
Keywords :
MIMO communication; cellular radio; error statistics; iterative methods; optimisation; radiofrequency interference; vectors; wireless channels; BER; IA reference vector optimization; MIMO IMAC; MP-IA algorithm; MSINR-IA algorithm; average sum rate; bit error rate performance; desired signals; iterative algorithms; limited feedback scenarios; maximum-SINR IA; maximum-power interference alignment algorithm; power maximization; received signal-to-interference-and-noise; two-cell MIMO interfering multiple-access channels; two-cell multiple-input multiple-output interfering multiple-access channels; MIMO; Multiple-access channel; interference alignment; limited feedback; multiple-access channel;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2424431
