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

Han Yu, Jiajun He, Xinping Yi, Feng Yin, Hing Cheung So, Giuseppe Caire

TL;DR

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.

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.

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

TL;DR

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.

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.
Paper Structure (13 sections, 11 equations, 3 figures, 1 table)

This paper contains 13 sections, 11 equations, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. System Model
  3. Coordinate Transformation
  4. Communication Model
  5. Sensing Model and Wireless Power Transfer
  6. Topological Structure Model
  7. Bipartite Graph Construction
  8. Objective Reformulation based on Topological Structure
  9. Optimization Problem
  10. Numerical Results
  11. Simulation Setups
  12. Results
  13. Conclusion

Figures (3)

  • Figure 1: SAGIN comprises APs and multiple terrestrial and satellite users. This network consists of the LEO constellation in higher orbits, which includes multiple satellite APs. A subset of LEO satellites acts as satellite users, facilitating communication, sensing, and wireless power transfer. In addition, the network incorporates terrestrial users for communication purposes.
  • Figure 2: (a) shows the bipartite graph with the connection between APs and users. (b) shows the result involving the AP and user selection. The solid lines represent the strong link utilized for precoder generation, while the dashed line indicates the strong link not employed for this purpose, although interference must be taken into account. Gray nodes indicate that the nodes are closed, while gray lines represent the disappeared strong links resulting from closing the nodes.
  • Figure 3: (a): Sum rate performance versus number of satellite APs $M$. (b): Received power versus number of satellite APs. (c): CDF plot of sensing SINR under low (16-80) and high (96-128) number of APs.

Theorems & Definitions (1)

  • Remark 1