JCCO: Joint Communication and Computation Co-Design in MU-MIMO Edge Computing

Abstract

The Internet of Things (IoT) faces critical challenges in supporting computation-intensive applications under resource-constrained edge networks, particularly in high-precision manufacturing scenarios requiring high-concurrency and low-latency task offloading. This paper proposes Joint Communication and Computation Co-Design (JCCO), a multi-timescale hierarchical fusion framework that overcomes limitations of conventional Orthogonal Frequency-Division Multiple Access and multi-user Multiple-Input Multiple-Output offloading through joint communication-computation co-design. Leveraging perturbation-based Lyapunov optimization, JCCO decouples the problem into: (a) real-time interference-spatial decoupling precoding via our Lyapunov-guided Alternating Precoding Algorithm (LyAPA),and (b) long-term correlation-aware offloading using the Multimodal Fusion Attentional Multi-Agent Offloading Algorithm (MuFa-MAO) that fuses channel-computation-workload states. Extensive simulations demonstrate latency reduction and energy efficiency gain over state-of-the-art baselines under assembly workshop scenarios.