TY - GEN
T1 - Resource allocation for NOMA MEC offloading
AU - Zhu, Jianyue
AU - Wang, Jiaheng
AU - Huang, Yongming
AU - Fang, Fang
AU - Navaie, Keivan
AU - DIng, Zhiguo
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China under Grant 61720106003, 61571107, 61971130, and 61711540305, the National Science and Technology Major Project of China under Grant 2018ZX03001002-003, the Research Project of Jiangsu Province under Grant BE2018121, the Natural Science Foundation of Jiangsu Province under Grant BK20160069, Scientific Research Foundation of Graduate School of Southeast University under Grant YBJJ1816, and the Scholarship from China Scholarship Council under Grant 201806090065.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - In this paper, we consider a nonorthogonal multiple access (NOMA) assisted mobile edge computing (MEC) system where the power and time are jointly optimized to reduce the energy consumption and delay. In order to achieve a tradeoff between energy consumption and delay, we introduce weighting factors, and the optimization problem is formulated to minimize the weighted sum of energy consumption and delay. In the literature, only two offloading strategies, i. e., orthogonal multiple access (OMA) and pure NOMA, are mainly considered. In this paper, we investigate a third strategy, hybrid NOMA, which contains the strategies of OMA and pure NOMA. As the main contribution, we analytically characterize the optimal resource allocation, i. e., the joint power and time allocation, for two-scheduled-user case. Simulation results show that the proposed resource allocation method in hybrid NOMA systems yields lower energy consumption and delay than the conventional OMA scheme.
AB - In this paper, we consider a nonorthogonal multiple access (NOMA) assisted mobile edge computing (MEC) system where the power and time are jointly optimized to reduce the energy consumption and delay. In order to achieve a tradeoff between energy consumption and delay, we introduce weighting factors, and the optimization problem is formulated to minimize the weighted sum of energy consumption and delay. In the literature, only two offloading strategies, i. e., orthogonal multiple access (OMA) and pure NOMA, are mainly considered. In this paper, we investigate a third strategy, hybrid NOMA, which contains the strategies of OMA and pure NOMA. As the main contribution, we analytically characterize the optimal resource allocation, i. e., the joint power and time allocation, for two-scheduled-user case. Simulation results show that the proposed resource allocation method in hybrid NOMA systems yields lower energy consumption and delay than the conventional OMA scheme.
KW - Energy consumption
KW - Mobile edge computing
KW - Non-orthogonal multiple access
KW - Resource allocation
KW - Time delay
UR - http://www.scopus.com/inward/record.url?scp=85081947342&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM38437.2019.9013239
DO - 10.1109/GLOBECOM38437.2019.9013239
M3 - Conference contribution
AN - SCOPUS:85081947342
T3 - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
BT - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Global Communications Conference, GLOBECOM 2019
Y2 - 9 December 2019 through 13 December 2019
ER -