Performance analysis of NOMA-based mobile edge computing with imperfect CSI

Abstract

In this paper, a non-orthogonal multiple access (NOMA)-based mobile edge computing (MEC) system is proposed, where paired users (the mth user and the nth user) offload tasks to the MEC server under imperfect channel state information (ipCSI) condition. To evaluate the effect on performance under ipCSI condition in NOMA-MEC system, this study derives new exact and asymptotic expressions of the offloading outage probability for two users under ipCSI and perfect channel state information (pCSI) conditions. On the basis of the theoretical derivation, the diversity orders of the nth user under ipCSI and pCSI conditions are zero and n, respectively, while those for the distant user are all zeros. In addition, we also investigate the system throughput and energy efficiency of NOMA-MEC in delay-limited transmission. Numerical results show that (1) the offloading outage behaviors of NOMA-MEC are better than those of time division multiple address (TDMA), (2) the offloading outage performance of paired users under ipCSI is worse than that under pCSI, and (3) the NOMA-MEC system achieves higher throughput and energy efficiency than does the TDMA-MEC system.

Energy Efficiency Analysis of e-Commerce Customer Management System Based on Mobile Edge Computing

“…As an improvement, the authors of literature [11] extended the conclusions in literature to multiuser MEC systems, and combined with resource allocation, they optimized the energy efficiency of multiuser MEC systems through Lyapunov. In [12], an integrated framework for computational unloading is proposed, which takes into account unloading decisions, to optimize energy efficiency. However, in literature [13], intercustomer interference of e-commerce is not taken into account when the unloading decision of mobile users is determined.…”

Uplink performance of nonorthogonal multiple access ultradense networks with power control

“…In the literature, the related research works [27][28][29] only did not take the power loss into the performance analysis. Thus, the effects of transmission environments on the UE performance have not been derived.…”

“…Similar statements were derived when nonlinear high-power amplifiers 28 and mobile edge computing with imperfect channel state information were studied. 29 Although these basic analysis approaches and some interesting results were presented in previous research works, the works did not study the impact of the power loss, particularly distance from the user to its serving BS, on the user performance.…”

Low Access Latency and High Throughput for Full-Duplex Cognitive Radio Using Mobility Caching Placement Strategy

“…In the existing work, the performance analysis of spectrum sensing is done by using various schemes and protocols, e.g., multi-objective modified grey wolf optimization algorithm [19], NOMA network under power splitting based simultaneous wireless information and power transfer (SWIPT) [20], NOMA based mobile edge computing with imperfect channel state information (CSI) [21], decode-and-forward (DF) and amplify-and-forward (AF) techniques in NOMA based cognitive radio network (CRN) [22], signal segmentation [23], neural network based multilayer perception model [24], and the channel allocation scheme based on greedy algorithm [25]. Cache technology is used to even improve the performance of parameters of spectrum sensing which includes various strategies: cache capacity allocation, cache replacement, cache utilization, and cache placement [26].…”