Performance analysis and power allocation for cooperative ISAC networks
Performance analysis and power allocation for cooperative ISAC networks
To mitigate the overlapping of the radar and communication frequency bands caused by large-scale devices access, we propose a novel integrated sensing and communication (ISAC) system, where a micro base station (MiBS) simultaneously carries out both target sensing and cooperative communication. Concretely, the MiBS, acting as the sensing equipment, can also serve as a full-duplex decode-and-forward relay to assist end-to-end communication. Moreover, nonorthogonal downlink transmission (NO-DLT) is adopted between the macro base station and the Internet of Things devices, so that the spectrum utilization can be further improved. To facilitate the performance evaluation, both the exact and asymptotic outage probabilities, the ergodic rates associated communication, and the probability of successful sensing detection are characterized. Subsequently, a pair of problems of maximizing the receive signal-to-interference-plus-noise ratio of the sensing signal and maximizing the sum rate of communication are formulated that are solved by the classic Lagrangian method while exploiting the associated function monotonicity. Our simulation results demonstrate that: 1) The proposed ISAC NO-DLT system improves both the communication and sensing performance under the same power consumption as noncooperative NO-DLT and 2) the proposed power allocation (PA) schemes are superior to the random PA scheme.
Cooperative communication, full-duplex (FD), integrated sensing and communication (ISAC), nonorthogonal downlink transmission (NO-DLT)
6336-6351
Liu, Meng
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Yang, Minglei
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Liu, Huifang
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Zeng, Kun
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Zhang, Zhaoming
edf722d7-51ba-4704-b00a-11f809101f71
Nallanathan, Arumugam
8accfa88-3b13-4cda-b080-0d247c6058e9
Wang, Guangijan
297f0d33-df9f-4e25-9059-ae241b12de1e
Hanzo, lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 April 2023
Liu, Meng
daf32c6e-4f30-43c1-b149-dbd14d59cf22
Yang, Minglei
c8385884-4d54-4bb8-affe-5a635b7a00ba
Liu, Huifang
c860face-f9d9-4bc8-9aac-0e900d43744a
Zeng, Kun
0896ba3d-fb57-4c0c-8c8f-ff90fdbf6d3a
Zhang, Zhaoming
edf722d7-51ba-4704-b00a-11f809101f71
Nallanathan, Arumugam
8accfa88-3b13-4cda-b080-0d247c6058e9
Wang, Guangijan
297f0d33-df9f-4e25-9059-ae241b12de1e
Hanzo, lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, Meng, Yang, Minglei, Liu, Huifang, Zeng, Kun, Zhang, Zhaoming, Nallanathan, Arumugam, Wang, Guangijan and Hanzo, lajos
(2023)
Performance analysis and power allocation for cooperative ISAC networks.
IEEE Internet of Things Journal, 10 (7), .
(doi:10.1109/JIOT.2022.3225281).
Abstract
To mitigate the overlapping of the radar and communication frequency bands caused by large-scale devices access, we propose a novel integrated sensing and communication (ISAC) system, where a micro base station (MiBS) simultaneously carries out both target sensing and cooperative communication. Concretely, the MiBS, acting as the sensing equipment, can also serve as a full-duplex decode-and-forward relay to assist end-to-end communication. Moreover, nonorthogonal downlink transmission (NO-DLT) is adopted between the macro base station and the Internet of Things devices, so that the spectrum utilization can be further improved. To facilitate the performance evaluation, both the exact and asymptotic outage probabilities, the ergodic rates associated communication, and the probability of successful sensing detection are characterized. Subsequently, a pair of problems of maximizing the receive signal-to-interference-plus-noise ratio of the sensing signal and maximizing the sum rate of communication are formulated that are solved by the classic Lagrangian method while exploiting the associated function monotonicity. Our simulation results demonstrate that: 1) The proposed ISAC NO-DLT system improves both the communication and sensing performance under the same power consumption as noncooperative NO-DLT and 2) the proposed power allocation (PA) schemes are superior to the random PA scheme.
Text
Performannce Analysis and Power Allocation for Cooperative ISAC Networks
- Accepted Manuscript
More information
Accepted/In Press date: 24 November 2022
e-pub ahead of print date: 28 November 2022
Published date: 1 April 2023
Additional Information:
Funding information: The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council under Project EP/W016605/1 and Project EP/P003990/1 (COALESCE), and in part by the European Research Council’s Advanced Fellow Grant QuantCom under Grant 789028.
Keywords:
Cooperative communication, full-duplex (FD), integrated sensing and communication (ISAC), nonorthogonal downlink transmission (NO-DLT)
Identifiers
Local EPrints ID: 475207
URI: http://eprints.soton.ac.uk/id/eprint/475207
ISSN: 2327-4662
PURE UUID: 718b5857-ff23-4261-a64d-73dfba1518de
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Date deposited: 14 Mar 2023 17:35
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Meng Liu
Author:
Minglei Yang
Author:
Huifang Liu
Author:
Kun Zeng
Author:
Zhaoming Zhang
Author:
Arumugam Nallanathan
Author:
Guangijan Wang
Author:
lajos Hanzo
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