Coordinated Multicell Beamforming for Massive MIMO: A Random Matrix Approach

Abstract

International audienc

Large System Analysis of Base Station Cooperation for Power Minimization

“…Next, we consider a finite size system and review the optimal precoder structure for the aforementioned schemes. In doing so, we assume that the feasibility conditions are satisfied [5]- [7], [13].…”

“…The design and analysis of the considered networks is performed under the assumption of imperfect CSI (modeled by the generic Gauss-Markov formulation form) for the UEs. Unlike most previous works [13], [16], the asymptotically optimal values of the Lagrange multipliers are computed using recent results from random matrix theory [17], which provide us with a much simpler means to overcome the technical difficulties arising with the application of standard random matrix theory tools. These results are then exploited to compute explicit expressions for the asymptotic signal-to-interference-plus-noise ratios (SINRs), which are eventually used to obtain the asymptotic powers needed to ensure target rates as well as the asymptotic total transmit power.…”

“…Specifically, a single-cell setting is considered in [12], [20] while a CoBF network is investigated in [13]. Unlike [13], we provide closed-form expressions for the Lagrange multipliers, which are instrumental to also compute closed-form expressions for SINRs and transmit powers. In [15], the authors focus on the sum rate of a CoMP under the assumption of regularized zero-forcing precoding.…”

Design, Simulation & Concept Verification of 4 × 4, 8 × 8 MIMO With ZF, MMSE and BF Detection Schemes

“…The results obtained from analysis show that as the number of inter-beam interference cancellations increases, the performance of the projected scheme shifts towards that of ZF-BF [14]. Lakshminarayana, S. et al (2015) proposed a multicell beamforming algorithm for massive-MIMO systems, based on the random matrix theory, with a very limited exchange of information about the channel statistics instead of complete CSI between the two BTSs, to minimize the requirement of the total transmit power for each base station [15]. In the present study, MIMO with different equalization techniques is considered as a key solution for a bandwidth-proficient transmission technique for wireless communication.…”

Coordinated SLNR Based Precoding in Large-Scale Heterogeneous Networks

“…This must be compared to the non-coordinated SLNR-MAX (11) in which the beamforming vectors involve only H j,j . Furthermore, some care must be paid when applying propositions 1 and 2 as the number of columns of matrix H j differs from the variance scaling 1 Kj .…”