Asymptotic Upper Capacity Bound for Receive Antenna Selection in Massive MIMO Systems
Chongjun Ouyang, Zeliang Ou, Lu Zhang, Hongwen Yang

TL;DR
This paper derives an asymptotic upper capacity bound for receive antenna selection in massive MIMO systems, providing insights into system performance with large-scale antenna arrays under Rayleigh fading channels.
Contribution
It introduces a low-complexity asymptotic capacity bound for massive MIMO antenna selection, considering different scenarios based on the number of selected antennas relative to transmit antennas.
Findings
The asymptotic bound closely matches simulation results.
The capacity bound is tight and useful for large-scale MIMO system analysis.
Different scenarios of antenna selection are analytically characterized.
Abstract
This paper studies the receive antenna selection in massive multiple-input multiple-output (MIMO) system. The receiver, equipped with a large-scale antenna array whose size is much larger than that of the transmitter, selects a subset of antennas to receive messages. A low-complexity asymptotic approximated upper capacity bound is derived in the limit of massive MIMO systems over independent and identical distributed flat fading Rayleigh channel, assuming that the channel side information (CSI) is only available at the receiver. Furthermore, the asymptotic theory is separately applied to two scenarios which is based on whether the total amount of the selected antennas exceed that of the transmit antennas. Besides analytical derivations, simulation results are provided to demonstrate the approximation precision of the asymptotic results and the tightness of the capacity bound.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Techniques
