Scalable Control Pipelines for Distributed Optimization of Reconfigurable Metasurface-Enabled Wireless Infrastructures
Year: 2025
Type: article
Abstract: Metasurface reconfigurable wireless infrastructures have become one of the prospective improvements in coverage, spectral and flexibility aspects of next-generation indoor networks. Nevertheless, the large scale implementation of metasurfaces poses a major problem of scalability, coordination overhead, and real time control especially on dynamic and interference-rich environments. To find a solution to such challenges, this paper presents a scalable control pipeline revolving around centralised training and decentralised execution (CTDE) where Multi-Agent Proximal Policy Optimization (MAPPO) is used to optimise metasurface-assisted wireless systems distributed. Within the proposed model, the metasurface units or cluster are represented as cooperative agents that are learning decentralised control policies based on local measurements and a centralised critic based on the global information of a network during learning, to stabilise this learning, and improve coordination. The control pipeline is an automated and modular combination of sensing, state aggregation, policy inference, and actuation which allows high efficiency with a scalable increase in the network size. Wide scale simulation work has indicated that the proposed pipeline based MAPPO shows significant gains in spectral effectiveness, and convergence stability and robustness over centralised deep reinforcement learning and non-learning heuristic baselines, especially in the situation of partial observation and dynamic channel behaviour. More so, the framework possesses a low inference latency with consistent decentralised execution, which is appropriately deployed in practical applications. The presented findings emphasise the success of scalable control pipelines based on CTDE as a major facilitator to intelligent, adaptive, and automatization-capable metasurface-controlled wireless infrastructures in future Wi-Fi 6 and 6G indoor communication systems.
Author: Robbi Rahim
Institution: Sekolah Tinggi Ilmu Manajemen Sukma
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7219979995