Semi-Integrated-Sensing-and-Communication (Semi-ISaC): From OMA to NOMA
Chao Zhang, Wenqiang Yi, Yuanwei Liu, Lajos Hanzo

TL;DR
This paper introduces Semi-ISaC, a flexible framework for integrated sensing and communication in next-gen networks, analyzing its performance with OMA and NOMA schemes to improve bandwidth efficiency and channel capacity.
Contribution
It proposes the Semi-ISaC concept allowing partial bandwidth exclusivity and evaluates its performance under OMA and NOMA, revealing advantages over traditional ISaC.
Findings
Semi-ISaC outperforms conventional ISaC in channel capacity.
NOMA-based Semi-ISaC achieves higher capacity than OMA-based.
Diversity order for near-user equals Nakagami-m parameter, far-user's order is zero.
Abstract
The new concept of semi-integrated-sensing-and-communication (Semi-ISaC) is proposed for next-generation cellular networks. Compared to the state-of-the-art, where the total bandwidth is used for integrated sensing and communication (ISaC), the proposed Semi-ISaC framework provides more freedom as it allows that a portion of the bandwidth is exclusively used for either wireless communication or radar detection, while the rest is for ISaC transmission. To enhance the bandwidth efficiency (BE), we investigate the evolution of Semi-ISaC networks from orthogonal multiple access (OMA) to non-orthogonal multiple access (NOMA). First, we evaluate the performance of an OMA-based Semi-ISaC network. As for the communication signals, we investigate both the outage probability (OP) and the ergodic rate. As for the radar echoes, we characterize the ergodic radar estimation information rate (REIR).…
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Taxonomy
TopicsRadar Systems and Signal Processing · Advanced SAR Imaging Techniques · Sparse and Compressive Sensing Techniques
