Delay Minimization in Pinching-Antenna-Enabled NOMA-MEC Networks

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Authors: Yuan Ai, Xidong Mu, Pengbo Si, Yuanwei Liu
Cited by: 1
References: 10

Abstract

This letter proposes a novel pinching antenna systems (PASS) enabled non-orthogonal multiple access (NOMA) multi-access edge computing (MEC) framework. An optimization problem is formulated to minimize the maximum task delay by optimizing offloading ratios, transmit powers, and pinching antenna (PA) positions, subject to constraints on maximum transmit power, user energy budgets, and minimum PA separation to mitigate coupling effects. To address the non-convex problem, a bisection search-based alternating optimization (AO) algorithm is developed, where each subproblem is iteratively solved for a given task delay. Numerical simulations demonstrate that the proposed framework significantly reduces the task delay compared to benchmark schemes.

Fields of Study & Subjects

Advanced Wireless Communication Technologies IoT Networks and Protocols Advanced MIMO Systems Optimization

Publication details

Journal / source
IEEE Communications Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
30
Pages
962–966
Publication date
1 January 2026
Language
EN