Energy-Efficient Resource Allocation and Subchannel Assignment for NOMA-Enabled Multiaccess Edge Computing

• Published in: IEEE systems journal Vol. 16; no. 1; pp. 1558 - 1569
• Main Authors: Liu, Lina, Sun, Bo, Tan, Xiaoqi, Tsang, Danny H. K.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Branch and bound methods; Combinatorial analysis; Convexity; Decomposition; Edge computing; Energy consumption; Energy minimization; Integer programming; Internet of Things; Linear programming; Minimization; Mobile computing; multiaccess edge computing (MEC); NOMA; Nonorthogonal multiple access; nonorthogonal multiple access (NOMA); Optimization; Polynomials; Power consumption; Resource allocation; Resource management; Servers; subchannel assignment; Task analysis
• ISSN: 1932-8184; 1937-9234
• DOI: 10.1109/JSYST.2021.3064919

In this article, we study an energy-efficient nonorthogonal multiple access (NOMA) enabled multiaccess edge computing (MEC) system with strict latency requirements. We aim to minimize the energy consumption of all users by optimizing the resource allocation (including power and computation resources...