Regularized Zero-Forcing Precoding Aided Adaptive Coding and Modulation for Large-Scale Antenna Array Based Air-to-Air Communications
Jiankang Zhang, Sheng Chen, Robert G. Maunder, Rong Zhang, Lajos Hanzo

TL;DR
This paper introduces a regularized zero-forcing precoding scheme combined with adaptive coding and modulation for large-scale antenna aeronautical communications, optimizing throughput over varying distances.
Contribution
It develops a novel RZF-TPC scheme with closed-form SINR analysis considering realistic channel errors and interference, and proposes a distance-based ACM strategy for aeronautical links.
Findings
Achieves high data throughput up to 77 GB over 24 minutes at 740 km distance.
Theoretical SINR and throughput formulas closely match simulation results.
Significantly outperforms previous eigen-beamforming based schemes.
Abstract
We propose a regularized zero-forcing transmit precoding (RZF-TPC) aided and distance-based adaptive coding and modulation (ACM) scheme to support aeronautical communication applications, by exploiting the high spectral efficiency of large-scale antenna arrays and link adaption. Our RZF-TPC aided and distance-based ACM scheme switches its mode according to the distance between the communicating aircraft. We derive the closed-form asymptotic signal-to-interference-plus-noise ratio (SINR) expression of the RZF-TPC for the aeronautical channel, which is Rician, relying on a non-centered channel matrix that is dominated by the deterministic line-of-sight component. The effects of both realistic channel estimation errors and of the co-channel interference are considered in the derivation of this approximate closed-form SINR formula. Furthermore, we derive the analytical expression of the…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Cooperative Communication and Network Coding
