Sum computational rate maximization for IRS-assisted wireless-powered mobile edge computing systems with NOMA

Rui Chen

doi:10.1117/12.2673287

13 April 2023 Sum computational rate maximization for IRS-assisted wireless-powered mobile edge computing systems with NOMA

Rui Chen

Author Affiliations +

Proceedings Volume 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022); 1260514 (2023) https://doi.org/10.1117/12.2673287
Event: Second Conference on High Performance Computing and Communication Engineering, 2022, Harbin, China

Abstract

In order to enhance the performance of wireless powered Mobile Edge Computing (MEC) systems, a multiple Intelligent Reflecting Surfaces (IRSs) empowered transmission scheme based on Non-Orthogonal Multiple Access (NOMA) is proposed. Specifically, multiple IRSs are deployed between the Hybrid Access Point (HAP) and Wireless Devices (WDs) for assisting the downlink wireless power transfer from the HAP to WDs and uplink computation offloading from WDs to the HAP. The WDs adopting the binary offloading scheme offload their computation tasks to the HAP via NOMA for remote computation at the MEC service embedded at the HAP, and the discrete phase shifts are considered at the IRSs for practical implementation. To maximize the system, sum computational rate, we formulate an optimization problem with respect to time allocation, computing mode selection, phase shifts for the downlink and uplink, transmit power at the WDs, and local computation frequencies, and propose a Block Coordinate Descent (BCD) based algorithm to solve it efficiently. Numerical results indicate that the proposed scheme can significantly improve the system performance in terms of sum computational rate and verify the impact of discrete phase shifts on system performance.

Citation Download Citation

Rui Chen "Sum computational rate maximization for IRS-assisted wireless-powered mobile edge computing systems with NOMA", Proc. SPIE 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), 1260514 (13 April 2023); https://doi.org/10.1117/12.2673287

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
17 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Phase shifts

Computing systems

Mathematical optimization

Reflection

Binary data

Energy efficiency

Energy harvesting

Show All Keywords

Keywords/Phrases

Search In:

Publication Years