Abstract
Beamspace multiple-input multiple-output (MIMO) systems employ beam selection algorithms based on the sparsity of the beamspace channel to reduce the number of radio-frequency chains required in multi-user systems. In this article, we address the problem of selecting multiple beams to each user. Specifically, we propose a beam selection scheme subject to signal to interference plus noise ratio (SINR) maximization. The proposed beamspace beam selection algorithm is developed in two stages. In the first stage, each user is assigned a non-overlapping beam determined by Kuhn-Munkres assignment algorithm. In the second stage, the selected beams in the previous stage are augmented with additional beams from an M -dominant beam set subject to a sum-rate maximization criterion. The performance of the proposed scheme is verified by simulations, and the results show a near-optimal performance in terms of the achievable sum-rate. Also, a significant improvement in terms of energy efficiency is achieved compared to the conventional beam selection scheme.
Highlights
In recent years, there has been an increasing demand for broadband which has led both researchers and industries to explore new solutions for the fifth-generation (5G) wireless communication systems
We focus on exploiting the concept of beamspace multiple-input multiple-output (MIMO) [6], where multi-user data are multiplexed onto orthogonal spatial beams
We focus on the angular domain beam selection in a multiple user scenario and analyze its performance
Summary
There has been an increasing demand for broadband which has led both researchers and industries to explore new solutions for the fifth-generation (5G) wireless communication systems. I. Orikumhi et al.: SINR Maximization Beam Selection for mmWave Beamspace MIMO Systems applications requiring large bandwidth, making it suitable for industrial big data transmission [5]. Several schemes have been proposed such as antenna selection [13], [14] and random beamforming [15], but these solutions are sub-optimal and lead to system performance degradation. In [16], a beam selection scheme for multi-user mmWave MIMO was proposed based on compressed sensing approach with analog beamformers. We propose a beamspace beam selection in a potential multi-user interference scenario. The computational complexity of the proposed beam selection scheme is analyzed with regards to the conventional beamspace MIMO. AT and AH represent the transpose and Hermitian transpose of the matrix A respectively. tr(A) represent the trace of matrix A
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