Paper Info
Title
Energy-Efficient Resource Allocation For Noma-Assisted Mobile Edge Computing
Abstract
In this paper we evaluate the effect of increased wireless spectral efficiency on the performance of mobile edge computing. Specifically, we study the energy minimization of computation offloading for a multi carrier non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) system. A joint radio-and-computational resource allocation problem is formulated, in which three different resources should be appropriately allocated, including subcarriers, transmission power and computational resources. The formulated resource allocation problem belongs to mixed integer nonlinear programming (MILNP) and is NP-hard. We propose therefore a heuristic solution consisting of two steps, NOMA clustering and subcarrier allocation, and joint computational resource and power allocation. Our numerical results show that NOMA based MEC significantly outperforms its OMA counterpart, especially in scenarios with strict delay limits, where both the transmission and the computational resources become scarce.
Year
DOI
Venue
2018
10.1109/PIMRC.2018.8580984
2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC)
Field
DocType
Citations 
Noma,Heuristic,Mathematical optimization,Wireless,Computer science,Computer network,Computation offloading,Resource allocation,Mobile edge computing,Spectral efficiency,Computational resource
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Ming Zeng117017.38
Viktoria Fodor2335.50