Abstract
End-users under poor wireless network coverage generally suffer from underutilization of bandwidth. This adversely affects the overall performance of task offloading to the edge server. In this work, we study a Reconfigurable Intelligent Surface (RIS)-assisted wireless network that enables end-user's devices under weak signal reception areas to enhance their offloading opportunities for delay minimization. It becomes a challenging task to allocate uploading bandwidth allocation for the offloaded tasks from end-user devices under different signal coverage areas. We formulate the optimization problem of bandwidth allocation for the offloaded tasks in the edge server and the offloading decisions as a quadratically constrained quadratic problem. We exploit a semi-definite relaxation (SDR) method to solve the problem. Moreover, during optimization, we minimize the adverse impact of bandwidth allocation for poor end-users on good end-users performance. From extensive simulation results, we show remarkably elevated improvement in delay reduction with RIS assistance compared to other baselines, increasing the number and ratio of end-user devices under good and poor signal reception areas.
| Originalsprog | Engelsk |
|---|---|
| Titel | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings |
| Antal sider | 6 |
| Forlag | IEEE |
| Publikationsdato | dec. 2022 |
| Sider | 2554-2559 |
| ISBN (Trykt) | 978-1-6654-3541-3 |
| ISBN (Elektronisk) | 978-1-6654-3540-6 |
| DOI | |
| Status | Udgivet - dec. 2022 |
| Begivenhed | IEEE Global Communications Conference 2022: Hybrid: In-Person and Virtual Conference Accelerating the Digital Transformation through Smart Communications - Rio de Janeiro, Brasilien Varighed: 4 dec. 2022 → 8 dec. 2022 https://globecom2022.ieee-globecom.org/ |
Konference
| Konference | IEEE Global Communications Conference 2022 |
|---|---|
| Land/Område | Brasilien |
| By | Rio de Janeiro |
| Periode | 04/12/2022 → 08/12/2022 |
| Internetadresse |