Resilient Massive Access assisted ISAC in Space-Air-Ground Integrated Networks

Integrated sensing and communication (ISAC) and space-air-ground integrated networks (SAGIN) have been considered as key technologies of 6G. The challenge of achieving ISAC in uplink massive access scenarios within the SAGIN has become a major research topic. This paper introduces the Resilient Massive Access (RMA) protocol, which deeply integrates S-ALOHA and NOMA, effectively enhancing the system's access success probability. Additionally, a cascaded uplink detection algorithm based on LS and MUSIC (MUSIC-NOMA-TSA) is proposed, enabling signal decoding and target sensing even in the presence of collisions at the receiver. Simulation results demonstrate that, compared to traditional algorithms, the proposed algorithm not only achieves more accurate signal decoding and target sensing but also significantly improves the access success probability.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3698230
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Resilient Massive Access assisted ISAC in Space-Air-Ground Integrated Networks

Wupeng Xie, Lexi Xu, Mingliang Pang, Chaowei Wang et al.
Radar Systems and Signal Processing
article

Resilient Massive Access assisted ISAC in Space-Air-Ground Integrated Networks

Wupeng Xie, Lexi Xu, Mingliang Pang, Chaowei Wang, Fan Jiang, Jiabin Chen
article en

Abstract

Integrated sensing and communication (ISAC) and space-air-ground integrated networks (SAGIN) have been considered as key technologies of 6G. The challenge of achieving ISAC in uplink massive access scenarios within the SAGIN has become a major research topic. This paper introduces the Resilient Massive Access (RMA) protocol, which deeply integrates S-ALOHA and NOMA, effectively enhancing the system's access success probability. Additionally, a cascaded uplink detection algorithm based on LS and MUSIC (MUSIC-NOMA-TSA) is proposed, enabling signal decoding and target sensing even in the presence of collisions at the receiver. Simulation results demonstrate that, compared to traditional algorithms, the proposed algorithm not only achieves more accurate signal decoding and target sensing but also significantly improves the access success probability.

Beijing University of Posts and Telecommunications (CN), China Electronics Technology Group Corporation (CN), Xi’an University of Posts and Telecommunications (CN), China United Network Communications Group (China) (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 65%
Radar Systems and Signal Processing
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