Abstract
A transmit antenna selection (TxAS) aided multi-user multiple-input multiple-output (MU-MIMO) system is proposed for operating in the MIMO downlink channel environments, which shows significant improvement in terms of higher data rate when compared to the conventional MU-MIMO systems operating without adopting TxAS, while maintaining low hardware costs. We opt for employing a simple yet efficient zero-forcing beamforming (ZFBF) linear precoding scheme at the transmitter in order to reduce the decoding complexity when considering users’ side. Moreover, considering that users within the same cell may require various qualities of service (QoS), we further propose a novel user-oriented smart TxAS (UOSTxAS) scheme, of which the main idea is to carry out AS based on the QoS requirements of different users. At last, we implement the proposed UOSTxAS scheme in the software defined radio (SDR) MIMO communication hardware platform, which is the first prototype hardware system that runs the UOSTxAS MU-MIMO scheme. Our results show that, by employing TxAS, the proposed UOSTxAS scheme is capable of offering higher data rates for priority users, while reasonably ensuring the performance of the common users requiring lower rates both in simulation and in the implemented SDR MIMO communication platform.
Highlights
Massive multi-user multiple-input multiple-output (MU-MIMO) systems [1,2,3,4] have been considered to have significant potential to play an important role in the 5G as well as the coming 6G wireless networks [5,6] due to the capability of increasing communication reliability and/or bandwidth efficiency
We opt for using a simple yet efficient TxAS scheme to improve the performance of the MU-MIMO system of Section 2.1, which is capable of maximizing the norm of the selected channel matrix Hsub ∈ CK × NT out of H ∈ CK × N by solving the following optimization problem: Hsub = arg max
It is seen that the sum capacity that is measured from the MIMO software defined radio (SDR) platform is very close to results from MATLAB simulation
Summary
Massive multi-user multiple-input multiple-output (MU-MIMO) systems [1,2,3,4] have been considered to have significant potential to play an important role in the 5G as well as the coming 6G wireless networks [5,6] due to the capability of increasing communication reliability and/or bandwidth efficiency. Where a SDR implemented 5G-based ultra-dense distributed MIMO hardware system is introduced to solve problem about data loss or error occurance and synchronization between timing and frequency in [26] In these inspirations, it is expecting that by using the SDR system, it will help to accelerate the developing of theoretical algorithms and prototype system, as well as improve the efficiency of implementing the MIMO system with AS. It is expecting that by using the SDR system, it will help to accelerate the developing of theoretical algorithms and prototype system, as well as improve the efficiency of implementing the MIMO system with AS Against this background, we first proposed a TxAS aided multi-user multiple-input multiple-output (MU-MIMO) systems for operating in the downlink MIMO channel environments, which shows significantly improvement by providing higher data rate when compared to the conventional MU-MIMO systems operating without adopting TxAS, while maintaining low hardware costs. Tr(·), (·)−1 , (·)T , and (·)H present the trace, inverse, transpose, and conjugate transpose operators, respectively
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