2025/10/16 by Haohao Qin, Qin, Haohao, Bowen Gu +13
Computer Science · Engineering · #Computable general equilibrium #Convex optimization #Duality (order theory) #Energy (signal processing) #Energy Harvesting in Wireless Networks #Enhanced Data Rates for GSM Evolution #IoT and Edge/Fog Computing #Mechanism (biology) #Modular Robots and Swarm Intelligence #Power (physics) #Regular polygon #Variable (mathematics)
paper · pdf · doi:10.1109/icct67417.2025.11373979
openalex publication_date 2025/10/16 · openalex created_date 2026/02/25 · openalex updated_date 2026/07/29
Cooperative energy recycling (CER) offers a new way to boost energy utilization in wireless-powered multi-access edge computing (MEC) networks, yet its integration with computation–communication co-design remains underexplored. This paper proposes a CER-enabled MEC framework that maximizes the minimum computable data among users under energy causality, latency, and power constraints. The intractable problem is reformulated into a convex form through relaxation, maximum ratio combining, and variable substitution, and closed-form solutions are derived via Lagrangian duality and alternating optimization, offering analytical insights. Simulation results verify that the proposed CER mechanism markedly increases total computable data while maintaining equitable performance across heterogeneous users.