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.
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