Joint Computational Offloading and Data-Content Caching in NOMA-MEC Networks

Abstract

Multi-access edge computing (MEC) can improve the users' computational capacity and battery life by moving computing services to the network edge. In addition, data-content caching on a MEC server improves the user quality of experience and decreases the backhaul network congestion. Moreover, non-orthogonal multiple access (NOMA) has recently been implemented to increase network throughput and capacity. Combining these techniques can improve the user performance and benefit the network. This paper investigates a combined computational offloading and data-content caching problem for NOMA-MEC systems. The aim was to achieve the minimum total completion latency of all users by jointly optimizing the offloading decision, caching strategy, computational resource, and power allocation. This satisfies the constraints within the scope of the potential violation for energy consumption, offloading decision, and the computation and storage capacity of the MEC server. The formulated problem is a mixed-integer non-linear programming and a non-convex problem. To solve this challenging problem, a block successive upper-bound minimization method was implemented to obtain efficient solutions. Numerous simulation results were presented to demonstrate the convergence and efficacy of the proposed algorithm. Compared with other schemes of all-offloading, local-only, and equal resources, our proposed algorithm can approximately reduce the total completion latency by 17.68%, 26.02%, and 70.98%. INDEX TERMS Multi-access edge computing, non-orthogonal multiple access, block successive upper-bound minimization, computational offloading, data-content caching.

Resource Allocation Strategy for Blockchain-Enabled NOMA-Based MEC Networks

“…Encouraged by the above research, it can reflect that the user's offloading decision [34] and resource division [35], [36] are very important for the feature optimization of the NOMAbased MEC system. This paper proposes a NOMA-based MEC wireless blockchain network to minimize system energy consumption through optimizing offload forms, user pairing, computing resource partitioning and power partitioning.…”

Cluster-Based Multi-User Multi-Server Caching Mechanism in Beyond 5G/6G MEC

“…However, it studied only video files with known sizes and popularity that remain the same for some time without considering cluster formation or communication within the cluster. The offloading mechanism in [ 35 ] aims to lower the required energy and the time delay that users will experience in Non-Orthogonal Multiple Access NOMA-MEC networks. Still, there are some improvements that need to be made.…”

A Survey on Cache-Aided NOMA for 6G Networks

“…The authors in [184] formulate a new utility function considering offloading time, available resources, and caching decision, and maximize it subjected to the transmission bandwidth, available computing resources, and storage resources. In [185], the authors aimed to reduce the total completion latency for all users of a cache-aided NOMA-MEC. In [185], the authors formulate a joint optimization problem of offloading decision, caching strategy, computational resource, and power allocation under the constraint of energy consumption, offloading decision, and computation and storage capacity.…”

“…In [185], the authors aimed to reduce the total completion latency for all users of a cache-aided NOMA-MEC. In [185], the authors formulate a joint optimization problem of offloading decision, caching strategy, computational resource, and power allocation under the constraint of energy consumption, offloading decision, and computation and storage capacity. In [186] also, the computation delay to finish mobile users' tasks was minimized by jointly optimizing the offloaded workloads and data transmission time.…”