Valiulahi, I;
Masouros, C;
Salem, A;
(2023)
Resource Allocation Policies for Hybrid Power-Grid and Harvested Energy Communication Systems.
In:
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall).
IEEE: London, United Kingdom.
Preview |
PDF
Conference_Iman (1).pdf - Accepted Version Download (445kB) | Preview |
Abstract
This work studies resource allocation policies for a multi-antenna access point that is powered by a combination of harvested energy and the power grid, communicating with multiple single-antenna users. We propose a non-convex problem to directly solve the throughput maximization problem. Though the problem is challenging to solve, we first propose an iterative algorithm based on the first-order Taylor expansion and block coordinate descent for the scenario that full channel state information (CSI) and energy arrival information (EAI) are assumed to be known. Then, inspired by this scenario, we study a case in which statistical CSI and EAI are only required. Simulation results demonstrate that the energy-performance trade-off as well as the performance of the statistical case is comparable to the full CSI and EAI scenario, which supports the practical aspect of the proposed policies.
| Type: | Proceedings paper |
|---|---|
| Title: | Resource Allocation Policies for Hybrid Power-Grid and Harvested Energy Communication Systems |
| Event: | 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) |
| Location: | London, ECUADOR |
| Dates: | 26 Sep 2022 - 29 Sep 2022 |
| ISBN-13: | 9781665454681 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/VTC2022-Fall57202.2022.10012745 |
| Publisher version: | http://dx.doi.org/10.1109/vtc2022-fall57202.2022.1... |
| 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. |
| Keywords: | Energy harvesting, resource allocation, firstorder Taylor expansion, block coordinate descent |
| 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/10185504 |
Archive Staff Only
 |
View Item |
