Conferences: Copy of Receive Antenna Selection and Hybrid Precoding for Receive Spatial Modulation in Massive MIMO Systems
Raafat, A. Agustin de Dios and J. Vidal Manzano

Abstract

Recently, a receive spatial modulation (RSM) for
massive multiple-input-multiple-output operating in millimeter
wave (mmWave) was introduced with the purpose of simplifying
user terminal circuit by employing only one radio-frequency
chain and attaining high spectral efficiency by exploiting the
receive spatial dimension. However, when RSM is applied in
a mmWave channel, it demands a challenging receive antenna
selection (RAS) procedure. On the other hand, the power
consumption at the transmitter side is high when a full digital
(FD) precoder is envisioned. We consider the joint problem
of RAS and precoder designs based low complexity hybrid
architecture. For the sake of simplicity, we divide this problem
into two subproblems. First, we design the RAS assuming FD
precoder, and then, we design the hybrid precoder. We propose
two novel and efficient RAS methods. First, we formulate the
RAS as non-convex optimization problem. Then, we convert
it into a convex optimization problem by introducing novel
lower bounds and relaxing non-convex constraints. Second, we
provide sequential algorithms that approach the optimal selection
where we (add/remove) one (good/poor) antenna per iteration.
We propose novel zero forcing hybrid precoder based convex
optimization that maximizes the received power. We prove that
the proposed precoder is optimal when the channel is highly
spatially sparse. The proposed designs have been compared with
the best known methods in terms of average mutual information
and energy efficiency showing significant improvements.


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