@inproceedings{7f9034946bc04259ac24f00f818b16a4,
title = "Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding",
abstract = "In a multi-user system with multiple antennas at the base station, precoding techniques in the downlink broadcast channel allow users to detect their respective data in a non-cooperative manner. Vector Perturbation Precoding (VPP) is a non-linear variant of transmit-side channel inversion that perturbs user data to achieve full diversity order. While promising, finding an optimal perturbation in VPP is known to be an NP-hard problem, demanding heavy computational support at the base station and limiting the feasibility of the approach to small MIMO systems. This work proposes a radically different processing architecture for the downlink VPP problem, one based on Quantum Annealing (QA), to enable the applicability of VPP to large MIMO systems. Our design reduces VPP to a quadratic polynomial form amenable to QA, then refines the problem coefficients to mitigate the adverse effects of QA hardware noise. We evaluate our proposed QA based VPP (QAVP) technique on a real Quantum Annealing device over a variety of design and machine parameter settings. With existing hardware, QAVP can achieve a BER of 10-4 with 100µs compute time, for a 6 × 6 MIMO system using 64 QAM modulation at 32 dB SNR.",
keywords = "Downlink Precoding, Optimization, Quantum Annealing, Quantum Computation, Vector Perturbation",
author = "Srikar Kasi and Singh, {Abhishek Kumar} and Davide Venturelli and Kyle Jamieson",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Communications, ICC 2021 ; Conference date: 14-06-2021 Through 23-06-2021",
year = "2021",
month = jun,
doi = "10.1109/ICC42927.2021.9500557",
language = "English (US)",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICC 2021 - IEEE International Conference on Communications, Proceedings",
address = "United States",
}