The University of Southampton
University of Southampton Institutional Repository

Semi-integrated-sensing-and-communication (Semi-ISaC): from OMA to NOMA

Semi-integrated-sensing-and-communication (Semi-ISaC): from OMA to NOMA
Semi-integrated-sensing-and-communication (Semi-ISaC): from OMA to NOMA
The new concept of semi-integrated-sensing-andcommunication (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). Then, we investigate the performance of a NOMA-based Semi-ISaC network, including the OP and the ergodic rate for communication signals and the ergodic REIR for radar echoes. The diversity gains of OP and the high signal-to-noise ratio (SNR)
slopes of the ergodic REIR are also evaluated as insights. The analytical results indicate that: 1) Under a two-user NOMA-based Semi-ISaC scenario, the diversity order of the near-user is equal to the coefficient of the Nakagami-m fading channels (m), while
that of the far-user is zero; and 2) The high-SNR slope for the ergodic REIR is based on the ratio of the radar signal’s duty cycle to the pulse duration. Our simulation results show that: 1) Semi-ISaC has better channel capacity than the conventional
ISaC; and 2) The NOMA-based Semi-ISaC has better channel capacity than the OMA-based Semi-ISaC.
Bandwidth, Ions, NOMA, Radar, Semi-integrated-sensing-and-communication, Sensors, Spaceborne radar, Wireless communication, ergodic radar estimation information rate, non-orthogonal multiple access, orthogonal multiple access, outage probability
0090-6778
1878-1893
Zhang, Chao
44cf92aa-d613-4e92-81a8-5fe6da9b81a2
Yi, Wenqiang
d8825d62-b154-44cf-a72f-db809549a826
Liu, Yuanwei
2767c2bc-6199-4106-ac28-81c3dadcfa29
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Chao
44cf92aa-d613-4e92-81a8-5fe6da9b81a2
Yi, Wenqiang
d8825d62-b154-44cf-a72f-db809549a826
Liu, Yuanwei
2767c2bc-6199-4106-ac28-81c3dadcfa29
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Chao, Yi, Wenqiang, Liu, Yuanwei and Hanzo, Lajos (2023) Semi-integrated-sensing-and-communication (Semi-ISaC): from OMA to NOMA. IEEE Transactions on Communications, 71 (4), 1878-1893. (doi:10.1109/TCOMM.2023.3241940).

Record type: Article

Abstract

The new concept of semi-integrated-sensing-andcommunication (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). Then, we investigate the performance of a NOMA-based Semi-ISaC network, including the OP and the ergodic rate for communication signals and the ergodic REIR for radar echoes. The diversity gains of OP and the high signal-to-noise ratio (SNR)
slopes of the ergodic REIR are also evaluated as insights. The analytical results indicate that: 1) Under a two-user NOMA-based Semi-ISaC scenario, the diversity order of the near-user is equal to the coefficient of the Nakagami-m fading channels (m), while
that of the far-user is zero; and 2) The high-SNR slope for the ergodic REIR is based on the ratio of the radar signal’s duty cycle to the pulse duration. Our simulation results show that: 1) Semi-ISaC has better channel capacity than the conventional
ISaC; and 2) The NOMA-based Semi-ISaC has better channel capacity than the OMA-based Semi-ISaC.

Text
Semi-Integrated-Sensing-and-Communication_(Semi-ISaC)_From_OMA_to_NOMA - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 26 January 2023
e-pub ahead of print date: 3 February 2023
Published date: 1 April 2023
Additional Information: Lajos Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/W016605/1 and EP/X01228X/1 as well as of the European Research Council’s Advanced Fellow Grant QuantCom (Grant No. 789028).
Keywords: Bandwidth, Ions, NOMA, Radar, Semi-integrated-sensing-and-communication, Sensors, Spaceborne radar, Wireless communication, ergodic radar estimation information rate, non-orthogonal multiple access, orthogonal multiple access, outage probability

Identifiers

Local EPrints ID: 474916
URI: http://eprints.soton.ac.uk/id/eprint/474916
ISSN: 0090-6778
PURE UUID: 4161bf96-1a77-459b-82e8-8120f9000936
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 07 Mar 2023 17:31
Last modified: 18 Mar 2024 02:36

Export record

Altmetrics

Contributors

Author: Chao Zhang
Author: Wenqiang Yi
Author: Yuanwei Liu
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×