Topological Interference Management for K-User Downlink Massive MIMO Relay Network Channel

Abstract

In this paper, we study the emergence of topological interference alignment and the characterizing features of a multi-user broadcast interference relay channel. We propose an alternative transmission strategy named the relay space-time interference alignment (R-STIA) technique, in which a K-user multiple-input-multiple-output (MIMO) interference channel has massive antennas at the transmitter and relay. Severe interference from unknown transmitters affects the downlink relay network channel and degrades the system performance. An additional (unintended) receiver is introduced in the proposed R-STIA technique to overcome the above problem, since it has the ability to decode the desired signals for the intended receiver by considering cooperation between the receivers. The additional receiver also helps in recovering and reconstructing the interference signals with limited channel state information at the relay (CSIR). The Alamouti space-time transmission technique and minimum mean square error (MMSE) linear precoder are also used in the proposed scheme to detect the presence of interference signals. Numerical results show that the proposed R-STIA technique achieves a better performance in terms of the bit error rate (BER) and sum-rate compared to the existing broadcast channel schemes.

LDMC design for low complexity MIMO detection and efficient decoding

“…In the standard BP algorithm, all value r l ij should be updated before updating all value g l ij . We observe that, since the sub-codes P e in transmission vectors should not be connected to each other as shown by (4), all value r l ij for updating g…”

“…Multiple-input multiple-output (MIMO) techniques have been widely studied during the past decades as they can provide significant multiplexing and diversity gains in transmission. Therefore, MIMO techniques have been identified as one of the most practical methods to combat fading and to increase the capacity of wireless channels in the recent years [1][2][3][4].…”

Selective interference alignment and neutralization in coordinated multipoint using multiuser MIMO

“…1,2 IA has a strong proposal for aligning the interfered data in a subspace from the highest to the lowest dimensional data. When the transmitted desired data are orthogonal to the subspace direction, null interference occurs in the system, briefly elaborated in Wang et al 3 The dimensions of the overall system subspace remain constant, which deserve a large number of resources to generate desired data without any interference that are discussed in Selvaprabhu et al 4 Joint IA accomplished a high-gain data rate with restricted coordination than the traditional IA. The IN seeks to suppress or cancel the interfered signals from the desired signal, and it also maintains the least number of antennas in the coordinated multipoint (CoMP) system.…”

Joint Interference Alignment and Power Allocation for K-User Multicell MIMO Channel through Staggered Antenna Switching

“…Topological interference management scheme for MIMO relay channel and two-cell two-hop MIMO half-duplex relay channel schemes require limited channel information to align the interfering signals. IA is the finest approach for time-varying MIMO interference networks, as it requires only limited resources such as time, frequency and number of users [4,5]. Some special cases require global channel knowledge, such as perfect and imperfect channel information.…”