TY - GEN
T1 - Delay Minimization for RIS-NOMA Assisted MEC Networks With SWIPT
AU - Xia, Lu
AU - Yang, Zheng
AU - Cui, Jingjing
AU - Zhou, Fuhui
AU - Wu, Yi
AU - Dong, Zhicheng
AU - Ding, Zhiguo
N1 - Funding Information:
VI. ACKNOWLEDGMENTS This work was supported in part by the National Natural Science Foundation of China under Grant U1805262, in part by the Natural Science Foundation of Fujian Province, China, under Grant 2022J01169, and Key Research & Development and Transformation Plan of Science and Technology Program for Tibet Autonomous Region (No. XZ201901-GB-16).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we study an uplink reconfigurable intelligent surfaces-non-orthogonal multiple access (RIS-NOMA) assisted mobile edge computing (MEC) network with simultaneous wireless information and power transfer (SWIPT), where the users want to offload their computing tasks to the BS via a RIS and a relay based on the SWIPT technique. The goal of the paper is to minimize the delay concerning the computing tasks of the users by jointly optimizing the power allocation ratio, the phase shift matrix of the RIS, the offloading task ratio, and the offloading transmit power. For solving the challenging optimization problem, we conceive a low-complexity algorithm by optimizing two subproblems separately, based on the penalty method as well as the successive convex approximation. Simulation results demonstrate that the proposed RIS-NOMA assisted MEC network with SWIPT outperforms both the conventional RIS-NOMA assisted MEC network without SWIPT and the RIS-orthogonal multiple access assisted MEC network.
AB - In this paper, we study an uplink reconfigurable intelligent surfaces-non-orthogonal multiple access (RIS-NOMA) assisted mobile edge computing (MEC) network with simultaneous wireless information and power transfer (SWIPT), where the users want to offload their computing tasks to the BS via a RIS and a relay based on the SWIPT technique. The goal of the paper is to minimize the delay concerning the computing tasks of the users by jointly optimizing the power allocation ratio, the phase shift matrix of the RIS, the offloading task ratio, and the offloading transmit power. For solving the challenging optimization problem, we conceive a low-complexity algorithm by optimizing two subproblems separately, based on the penalty method as well as the successive convex approximation. Simulation results demonstrate that the proposed RIS-NOMA assisted MEC network with SWIPT outperforms both the conventional RIS-NOMA assisted MEC network without SWIPT and the RIS-orthogonal multiple access assisted MEC network.
UR - http://www.scopus.com/inward/record.url?scp=85146935425&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM48099.2022.10001448
DO - 10.1109/GLOBECOM48099.2022.10001448
M3 - Conference contribution
AN - SCOPUS:85146935425
T3 - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
SP - 4631
EP - 4636
BT - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Global Communications Conference, GLOBECOM 2022
Y2 - 4 December 2022 through 8 December 2022
ER -