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A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks

Kasi, Srikar; Warburton, PA; Kaewell, John; Jamieson., Kyle; (2023) A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks. IEEE Transactions on Quantum Engineering pp. 1-17. 10.1109/tqe.2023.3326469. (In press). Green open access

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Abstract

In order to meet mobile cellular users' ever-increasing data demands, today's 4 G and 5 G wireless networks are designed mainly with the goal of maximizing spectral efficiency. While they have made progress in this regard, controlling the carbon footprint and operational costs of such networks remains a long-standing problem among network designers. This paper takes a long view on this problem, envisioning a NextG scenario where the network leverages quantum annealing for cellular baseband processing. We gather and synthesize insights on power consumption, computational throughput and latency, spectral efficiency, operational cost, and feasibility timelines surrounding quantum annealing technology. Armed with these data, we project the quantitative performance targets future quantum annealing hardware must meet in order to provide a computational and power advantage over CMOS hardware, while matching its whole-network spectral efficiency. Our quantitative analysis predicts that with 82.32 μ s problem latency and 2.68 M qubits, quantum annealing will achieve a spectral efficiency equal to CMOS while reducing power consumption by 41 kW (45% lower) in a Large MIMO base station with 400 MHz bandwidth and 64 antennas, and a 160 kW power reduction (55% lower) using 8.04 M qubits in a CRAN setting with three Large MIMO base stations.

Type: Article
Title: A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tqe.2023.3326469
Publisher version: https://doi.org/10.1109/TQE.2023.3326469
Language: English
Additional information: © 2023 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see (https://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > London Centre for Nanotechnology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10180192
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