Capacity and Performance of Adaptive MIMO System Based on Beam-Nulling
Mabruk Gheryani, Zhiyuan Wu, and Yousef R. Shayan

TL;DR
This paper introduces 'beam-nulling', a novel MIMO adaptation scheme that improves capacity and performance by exploiting the weakest subchannel, and extends it to multi-dimensional schemes with significant gains at high data rates.
Contribution
The paper proposes a new beam-nulling scheme for MIMO systems, analyzes its capacity and BER, and extends it to multi-dimensional schemes with superior performance at high data rates.
Findings
Beam-nulling achieves capacity close to water-filling at medium SNR.
Beam-nulling combined with linear dispersion code outperforms beamforming at high data rates.
Multi-dimensional beam-nulling with LDC significantly outperforms with STBC at high data rates.
Abstract
In this paper, we propose a scheme called "beam-nulling" for MIMO adaptation. In the beam-nulling scheme, the eigenvector of the weakest subchannel is fed back and then signals are sent over a generated subspace orthogonal to the weakest subchannel. Theoretical analysis and numerical results show that the capacity of beam-nulling is closed to the optimal water-filling at medium SNR. Additionally, signal-to-interference-plus-noise ratio (SINR) of MMSE receiver is derived for beam-nulling. Then the paper presents the associated average bit-error rate (BER) of beam-nulling numerically which is verified by simulation. Simulation results are also provided to compare beam-nulling with beamforming. To improve performance further, beam-nulling is concatenated with linear dispersion code. Simulation results are also provided to compare the concatenated beam-nulling scheme with the beamforming…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Wireless Communication Networks Research
