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Optimal Energy-Efficient Antenna Selection and Power Adaptation for Underlay Spectrum Sharing

Naduvilpattu, S and Mehta, NB (2021) Optimal Energy-Efficient Antenna Selection and Power Adaptation for Underlay Spectrum Sharing. In: IEEE International Conference on Communications, ICC 2021, 14-23 Jun 2021.

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Official URL: https://doi.org/10.1109/ICC42927.2021.9500252


We propose a novel joint antenna selection and power adaptation rule that maximizes the energy-efficiency (EE) of an underlay spectrum sharing system. In an underlay system, a secondary user shares the spectrum with a higher priority primary user, but is subject to tight constraints on the interference it generates. Our approach exploits the spatial diversity benefits of multiple antennas to improve the secondary user's performance, but with a hardware complexity and cost comparable to a single antenna system. We prove that the proposed rule is EE-optimal for a secondary transmitter that is subject to the interference-outage constraint, which generalizes the widely used peak interference constraint, and the peak transmit power constraint. It has a novel form different from the conventional rules considered in the literature. We present an insightful geometrical characterization that brings out the dependence of the optimal power on the channel gains within the secondary system and between the secondary and primary systems. The proposed rule achieves a markedly higher EE compared to conventional rules. © 2021 IEEE.

Item Type: Conference Paper
Publication: IEEE International Conference on Communications
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Antennas, Adaptation rules; Antenna selection; Energy efficient; Joint antennas; Optimal energy; Power adaptation; Secondary system; Secondary user; Spectrum sharing systems; Underlay spectrum sharing, Energy efficiency
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 29 Nov 2021 09:03
Last Modified: 29 Nov 2021 09:03
URI: http://eprints.iisc.ac.in/id/eprint/70298

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