Energy Consumption Minimization for a Data Compression Based NOMA-MEC System

In this paper, we study the energy consumption minimization problem in a data compression based non-orthogonal multiple access-mobile edge computing (NOMA-MEC) system. Considering the partial compression and offloading schemes, we formulate a non-convex system energy consumption minimization optimization problem by jointly optimizing the users’ data compression and offloading time, transmit power, as well as task compression and offloading ratios. Then we derive the closed-form expression of the optimal transmit power for each user and propose a successive convex approximation (SCA) based iterative algorithm to solve the optimization problem. Computer results verify the advantages of the proposed scheme via computer simulations and show that compared with other benchmark schemes, the proposed scheme can effectively reduce the system energy consumption.