Xu, Y;
Chen, Y;
Hou, Y;
Wong, KK;
Cui, Q;
Tao, X;
(2023)
Energy Efficiency Maximization Under Delay-Outage Probability Constraints Using Fluid Antenna Systems.
In:
Proceedings of the IEEE Statistical Signal Processing Workshop (SSP) 2023.
(pp. pp. 105-109).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
Fluid antenna system (FAS) is a new wireless technology that enables reconfigurable antenna position to enhance communication performance. In wireless networks, spectral efficiency, delay and energy efficiency are some of the most important performance indicators. To jointly optimize these indicators for FAS-assisted point-to-point communication systems, we adopt the energy efficiency (EE) metric which is defined as the delivered data rate divided by the total power consumption. The optimal power allocation strategy is obtained to maximize the EE subject to a delay-outage probability constraint. We then study the effects of delay bounds and the number of FAS's ports on the maximum EE. Simulation results are presented to show the effectiveness of the proposed delay-aware FAS-assisted system.
| Type: | Proceedings paper |
|---|---|
| Title: | Energy Efficiency Maximization Under Delay-Outage Probability Constraints Using Fluid Antenna Systems |
| Event: | 2023 IEEE Statistical Signal Processing Workshop (SSP) |
| Location: | Hanoi, Vietnam |
| Dates: | 2nd-5th Jul 2023 |
| ISBN-13: | 9781665452458 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SSP53291.2023.10208068 |
| Publisher version: | https://doi.org/10.1109/SSP53291.2023.10208068 |
| 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/10176501 |
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