A Compositional Perspective on Communication-Control Co-Design for Mobile Broadband Systems Beyond 6G

2026-10-07

AI Summary

This study addresses the limitations of conventional optimization methods in the joint communication and control co-design for B6G networks, particularly regarding modular representation, requirements traceability, and design space analysis. To overcome these challenges, this work proposes a composition-driven methodology grounded in formal co-design theory. By introducing a compositional perspective, the proposed approach circumvents the bottlenecks inherent in joint optimization, thereby enabling the modular modeling of complex interacting subsystems and systematic exploration of the design space. The effectiveness of this methodology is validated through a wireless-assisted robotic control case study. Furthermore, this paper elucidates its complementary relationship with optimization-driven approaches. Ultimately, this research establishes a novel paradigm for cross-domain co-design within B6G scenarios, offering a rigorous framework to facilitate scalable and verifiable system integration.

Abstract

Anticipated applications of beyond sixth-generation (B6G) mobile broadband networks will require the co-design of communication and control subsystems within the network architecture. Existing co-design approaches are predominantly optimization-driven, integrating subsystems through joint optimization problems. While this approach is effective in relatively simple systems, such formulations present challenges in (i) modular subsystem representations, (ii) tracing the propagation of requirements across subsystems, and (iii) systematically analyzing design-space feasibility, particularly as the number and complexity of interacting subsystems increase. In this article, we present a compositional perspective on co-design based on the formal theory of co-design. We examine how the notion of composition introduced by this theory can address the challenges of the conventional optimization-driven approach. Building on this perspective, we propose a composition-driven methodology for communication-control co-design in B6G networks and illustrate it through a wireless-assisted robotic control case-study. We then discuss how the composition-driven and optimization-driven co-design approaches can complement each other and why this complementarity may be beneficial for B6G networks. Finally, we identify key research challenges and future directions toward the practical adoption of the proposed methodology.

Problem

• co-design
• beyond 6G
• communication-control
• compositionality
• modular design

Innovation

• co-design
• compositional perspective
• beyond 6G
• communication-control
• composition-driven methodology