Topology-Aware Integrated Communication, Sensing, and Power Transfer for SAGIN

2026-02-24

AI Summary

This work addresses the challenge of multi-task collaborative optimization among communication, sensing, and wireless power transfer in space-air-ground integrated networks (SAGINs) by proposing a topology-aware integrated optimization framework. For the first time, network topology is explicitly incorporated into the joint design of SAGIN multifunctionality, where the topology is constructed based on node visibility and channel strength. The resulting multi-objective problem is formulated as a mixed-integer linear program, leveraging topological information to uncover intrinsic relationships among system objectives and constraints. This approach significantly enhances the overall performance across all three tasks. Experimental results demonstrate that the proposed scheme substantially outperforms existing benchmark methods in terms of overall system efficiency.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Constraint Satisfaction and Optimization: Mixed Discrete/Continuous Optimization
• Search and Optimization: Mixed Discrete/Continuous Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Novel mobile and WoT systems, and system-of-systems
• Graph Algorithms and Modeling for the Web: Algorithms and analysis for heterogeneous, signed, attributed, multi-relational, temporal, higher-order, and annotated Web-related graphs
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

The space-air-ground integrated network (SAGIN) has garnered significant attention in recent years due to its capability to extend communication networks from terrestrial environments to near-ground and space contexts. The application of SAGIN enables to achieve a high-quality, multi-functional, and complex communication requirements, which are essential for sixth-generation communication systems. This paper presents a topology aware (TA) framework to leverage the topological structure in SAGIN to address the multi-functional communication challenge, particularly the integrated sensing, communication, and power transfer (ISCPT) problem. To take advantage of the topological structure, we initially establish the topology according to the criteria of visibility and channel strength. The ISCPT problem can be reformulated into a topological structure as a mixed integer linear program, providing valuable insights from the objectives and constraints. Results demonstrate the superior performance of our solution compared to the benchmarks.

Problem

• Space-Air-Ground Integrated Network
• Integrated Sensing
• Communication
• Power Transfer
• Multi-functional Communication

Innovation

• Topology-Aware
• Integrated Sensing Communication and Power Transfer
• Space-Air-Ground Integrated Network
• Mixed Integer Linear Programming
• Network Topology