Title
Joint User Clustering, Resource Allocation and Power Control for NOMA-based Mobile Edge Computing
Abstract
Mobile edge computing (MEC) has been considered as a promising technology to reduce the energy consumption and task execution latency of smart mobile devices (SMDs). To improve the number of user access and spectrum efficiency, we exploit non-orthogonal multiple access (NOMA) into the MEC system. NOMA will cause mutual interference between users, which will increase user's transmission latency. Therefore, we formulate an optimization problem which minimizes the average latency of the NOMA-based MEC system via jointly optimizing user clustering, resource allocation and transmission power. To solve the optimization problem, we first propose heuristic algorithms to solve user clustering and resource allocation. Then, we propose an iterative power optimization algorithm based on particle swarm optimization (PSO). Simulation results show that the proposed optimization strategy can effectively reduce the average latency of the system.
Year
DOI
Venue
2018
10.1109/WCSP.2018.8555861
2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
Keywords
Field
DocType
Mobile edge computing,non-orthogonal multiple access,resource allocation,power control
Particle swarm optimization,Power optimization,Computer science,Power control,Computer network,Mobile edge computing,Resource allocation,Spectral efficiency,Cluster analysis,Optimization problem
Conference
ISSN
ISBN
Citations 
2325-3746
978-1-5386-6120-8
0
PageRank 
References 
Authors
0.34
13
5
Name
Order
Citations
PageRank
Xianbang Diao171.44
Jianchao Zheng222316.21
Yueming Cai3918102.96
Xinsong Dong400.34
Xiaoyi Zhang5698.76