Energy Consumption Minimization for NOMA-Assisted Mobile Edge Computing

International Symposium on Wireless Communication Systems, vol. 5, pp. 1–6

Abstract

In this paper, we investigate a non-orthogonal multiple access (NOMA)-assisted mobile edge computing (MEC) network supporting a time-sensitive computing task with data inputs being generated at and offloaded from multiple users. To minimize the energy consumption of both users and server, a joint power and computational resource allocation problem is formulated, which is unfortunately non-convex. To address the problem and obtain the global optimal solution, we first carefully characterize optimality conditions of the problem, and then provide an efficient approach to transform the problem to an equivalent convex one. Via numerical simulation, our analytical results are validated and the impacts of channel quality, task deadline and computation workload on the system performance are investigated and evaluated.

Authors 5

1. Hao Xu Aachen INDA Institute

   Wuhan University · RWTH Aachen University

   Affiliation as printed

   School of Electronic Information, Wuhan University,China

   INDA Institute, RWTH Aachen University, Germany

   School of Electronic Information, Wuhan University, China

2. Yao Lin Zhu Aachen INDA Institute

   Wuhan University · RWTH Aachen University

   Affiliation as printed

   School of Electronic Information, Wuhan University,China

   INDA Institute, RWTH Aachen University, Germany

   School of Electronic Information, Wuhan University, China

3. Kai Xiang

   Hubei University Of Economics

   Affiliation as printed

   School of Information Management, Hubei University of Economics,China

   School of Information Management, Hubei University of Economics, China

4. Yulin Hu Aachen INDA Institute

   Wuhan University · RWTH Aachen University

   Affiliation as printed

   School of Electronic Information, Wuhan University,China

   INDA Institute, RWTH Aachen University, Germany

   School of Electronic Information, Wuhan University, China

5. Anke Schmeink

   Wuhan University

   Affiliation as printed

   School of Electronic Information, Wuhan University,China

   School of Electronic Information, Wuhan University, China