Interference alignment for the K-user MIMO X network using time division multiple access

Abstract

Abstract-This paper investigates an interference alignment (IA) scheme suitable for a K-user multiple-input multipleoutput (MIMO) X network. The K-user MIMO X-network is a communication architecture where each transmitter, equipped with multiple antennas, has independent messages for each of the receivers, also equipped with multiple antennas. Earlier only 2 × N or M × 2 X networks was considered to be achievable. In this paper we remove this restriction by employing time division multiple access scheme. The proposed IA scheme allows to achieve a sum degree of freedom of, where A is the number of antennas at each transmitter and receiver. The capacity and bit error rate performance of the proposed scheme is compared to that of another scheme recently proposed by Park and Ko. Simulation results are reported to show the bit error-rate performance for K-user (for a toy example, K is set as 3) and two-user X channel IA in case of transmission over flat-fading Rayleigh channels.

Best-Effort Interference Alignment for K Users Quasi-Static MIMO Interference Channels

“…Obviously, these orthogonal access methods are unable to make full use of valuable communication resources to cope with the high demanding communication requirements nowadays. Therefore, interference alignment (IA) has been proposed for combating interference in an effective way for MIMO X channels [2], [3] and K users MIMO interference channels [4], [5], [6] and cooperative networks [7]. The idea of IA is that by jointly designing precoding and decoding matrices, the interference signals are aligned in a lower subspace at each receiver while the remaining interference-free subspace is reserved for the desired signals.…”

On the Application of K-User MIMO for 6G Enhanced Mobile Broadband

“…The precoders in this method are a function of the dual relationship between the MIMO forward and reverse channels. Another IA framework involving TDD channels is presented in [15]. In [16], interference alignment in MIMO downlink networks is investigated, where precoders are derived by eigen decomposition of the MIMO channels.…”