Kaushik, A;
Thompson, J;
Vlachos, E;
(2021)
Energy Efficiency Maximization in Millimeter Wave Hybrid MIMO Systems for 5G and Beyond.
In:
2020 IEEE Eighth International Conference on Communications and Networking (ComNet).
IEEE: Hammamet, Tunisia, Tunisia.
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Abstract
At millimeter wave (mmWave) frequencies, the higher cost and power consumption of hardware components in multiple-input multiple output (MIMO) systems do not allow beamforming entirely at the baseband with a separate radio frequency (RF) chain for each antenna. In such scenarios, to enable spatial multiplexing, hybrid beamforming, which uses phase shifters to connect a fewer number of RF chains to a large number of antennas is a cost effective and energy-saving alternative. This paper describes our research on fully adaptive transceivers that adapt their behaviour on a frame-by-frame basis, so that a mmWave hybrid MIMO system always operates in the most energy efficient manner. Exhaustive search based brute force approach is computationally intensive, so we study fractional programming as a low-cost alternative to solve the problem which maximizes energy efficiency. The performance results indicate that the resulting mmWave hybrid MIMO transceiver achieves significantly improved energy efficiency results compared to the baseline cases involving analogue-only or digital-only signal processing solutions, and shows performance trade-offs with the brute force approach.
| Type: | Proceedings paper |
|---|---|
| Title: | Energy Efficiency Maximization in Millimeter Wave Hybrid MIMO Systems for 5G and Beyond |
| Event: | IEEE International Conference on Communications and Networking |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ComNet47917.2020.9306108 |
| Publisher version: | https://doi.org/10.1109/ComNet47917.2020.9306108 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10107371 |
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