Abstract
This paper studies a self-sustainable reconfigurable intelligent surface (SRIS)-assisted mobile edge computing (MEC) network, where a SRIS first harvests energy from a hybrid access point (HAP), and then enhances the users' offloading performance with the harvested energy. To improve computing efficiency, a sum computation rate maximization problem is formulated. Based on the alternating optimization (AO) method, an efficient algorithm is proposed to solve the formulated non-convex problem. Simulations show that when the SRIS is deployed closer to the HAP, a higher performance gain can be achieved.
| Original language | English |
|---|---|
| Title of host publication | IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665494274 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 - Hoboken, United States Duration: 20 May 2023 → 20 May 2023 |
Publication series
| Name | IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 |
|---|
Conference
| Conference | 2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 |
|---|---|
| Country/Territory | United States |
| City | Hoboken |
| Period | 20/05/23 → 20/05/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Self-sustainable reconfigurable intelligent surface
- mobile edge computing
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