Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems

Trung Thanh Nguyen; Nguyen Cong Luong; Feng Shaohan; Khaled Elbassioni; Dusit Niyato; Dong In Kim

doi:10.1109/GLOBECOM54140.2023.10437733

Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems

Trung Thanh Nguyen
, Nguyen Cong Luong
, Feng Shaohan
, Khaled Elbassioni
, Dusit Niyato
, Dong In Kim

Phenikaa University
Zhejiang Gongshang University
Nanyang Technological University
Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We consider a rate-splitting multiple access (RSMA)-based communication and radar coexistence (CRC) system. The proposed system allows an RSMA-based communication system to share spectrum with multiple radars. Furthermore, RSMA enables flexible and powerful interference management by splitting messages into common parts and private parts to partially decode interference and partially treat interference as noise. The RSMA-based CRC system thus significantly improves spectral efficiency and quality of service (QoS) of communication users (CUs). The communication network and the radars cause interference to each other, which reduces the signal-to-interference-plus-noise ratio (SINR) of the radars as well as the data rate of the CUs. Therefore, a major problem is to maximize the sum rate of the CUs while guaranteeing their QoS requirements of data transmissions and the SINR requirements of multiple radars. To achieve these objectives, we formulate a problem that optimizes i) the common rate allocation to the CUs, transmit power of common message and transmit power of private messages of the CUs, and ii) transmit power of the radars. We propose an additive approximation scheme (AAS) which solves the problem globally. Simulation results show the improvement of the AAS compared with the sequential quadratic programming (SQP) in terms of sum rate.

Original language	British English
Title of host publication	GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6675-6680
Number of pages	6
ISBN (Electronic)	9798350310900
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10437733
State	Published - 2023
Event	2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

Keywords

communication and radar coexistence
rate and power allocation
Rate-splitting multiple access

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10.1109/GLOBECOM54140.2023.10437733

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Nguyen, T. T., Luong, N. C., Shaohan, F., Elbassioni, K., Niyato, D., & Kim, D. I. (2023). Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (pp. 6675-6680). (Proceedings - IEEE Global Communications Conference, GLOBECOM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM54140.2023.10437733

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title = "Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems",

abstract = "We consider a rate-splitting multiple access (RSMA)-based communication and radar coexistence (CRC) system. The proposed system allows an RSMA-based communication system to share spectrum with multiple radars. Furthermore, RSMA enables flexible and powerful interference management by splitting messages into common parts and private parts to partially decode interference and partially treat interference as noise. The RSMA-based CRC system thus significantly improves spectral efficiency and quality of service (QoS) of communication users (CUs). The communication network and the radars cause interference to each other, which reduces the signal-to-interference-plus-noise ratio (SINR) of the radars as well as the data rate of the CUs. Therefore, a major problem is to maximize the sum rate of the CUs while guaranteeing their QoS requirements of data transmissions and the SINR requirements of multiple radars. To achieve these objectives, we formulate a problem that optimizes i) the common rate allocation to the CUs, transmit power of common message and transmit power of private messages of the CUs, and ii) transmit power of the radars. We propose an additive approximation scheme (AAS) which solves the problem globally. Simulation results show the improvement of the AAS compared with the sequential quadratic programming (SQP) in terms of sum rate.",

keywords = "communication and radar coexistence, rate and power allocation, Rate-splitting multiple access",

author = "Nguyen, \{Trung Thanh\} and Luong, \{Nguyen Cong\} and Feng Shaohan and Khaled Elbassioni and Dusit Niyato and Kim, \{Dong In\}",

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doi = "10.1109/GLOBECOM54140.2023.10437733",

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Nguyen, TT, Luong, NC, Shaohan, F, Elbassioni, K, Niyato, D & Kim, DI 2023, Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems. in GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Proceedings - IEEE Global Communications Conference, GLOBECOM, Institute of Electrical and Electronics Engineers Inc., pp. 6675-6680, 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GLOBECOM54140.2023.10437733

Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems. / Nguyen, Trung Thanh; Luong, Nguyen Cong; Shaohan, Feng et al.
GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Institute of Electrical and Electronics Engineers Inc., 2023. p. 6675-6680 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems

AU - Nguyen, Trung Thanh

AU - Luong, Nguyen Cong

AU - Shaohan, Feng

AU - Elbassioni, Khaled

AU - Niyato, Dusit

AU - Kim, Dong In

PY - 2023

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N2 - We consider a rate-splitting multiple access (RSMA)-based communication and radar coexistence (CRC) system. The proposed system allows an RSMA-based communication system to share spectrum with multiple radars. Furthermore, RSMA enables flexible and powerful interference management by splitting messages into common parts and private parts to partially decode interference and partially treat interference as noise. The RSMA-based CRC system thus significantly improves spectral efficiency and quality of service (QoS) of communication users (CUs). The communication network and the radars cause interference to each other, which reduces the signal-to-interference-plus-noise ratio (SINR) of the radars as well as the data rate of the CUs. Therefore, a major problem is to maximize the sum rate of the CUs while guaranteeing their QoS requirements of data transmissions and the SINR requirements of multiple radars. To achieve these objectives, we formulate a problem that optimizes i) the common rate allocation to the CUs, transmit power of common message and transmit power of private messages of the CUs, and ii) transmit power of the radars. We propose an additive approximation scheme (AAS) which solves the problem globally. Simulation results show the improvement of the AAS compared with the sequential quadratic programming (SQP) in terms of sum rate.

AB - We consider a rate-splitting multiple access (RSMA)-based communication and radar coexistence (CRC) system. The proposed system allows an RSMA-based communication system to share spectrum with multiple radars. Furthermore, RSMA enables flexible and powerful interference management by splitting messages into common parts and private parts to partially decode interference and partially treat interference as noise. The RSMA-based CRC system thus significantly improves spectral efficiency and quality of service (QoS) of communication users (CUs). The communication network and the radars cause interference to each other, which reduces the signal-to-interference-plus-noise ratio (SINR) of the radars as well as the data rate of the CUs. Therefore, a major problem is to maximize the sum rate of the CUs while guaranteeing their QoS requirements of data transmissions and the SINR requirements of multiple radars. To achieve these objectives, we formulate a problem that optimizes i) the common rate allocation to the CUs, transmit power of common message and transmit power of private messages of the CUs, and ii) transmit power of the radars. We propose an additive approximation scheme (AAS) which solves the problem globally. Simulation results show the improvement of the AAS compared with the sequential quadratic programming (SQP) in terms of sum rate.

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DO - 10.1109/GLOBECOM54140.2023.10437733

M3 - Conference contribution

AN - SCOPUS:85187376712

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EP - 6680

BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023

Y2 - 4 December 2023 through 8 December 2023

ER -

Nguyen TT, Luong NC, Shaohan F, Elbassioni K, Niyato D, Kim DI. Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Institute of Electrical and Electronics Engineers Inc. 2023. p. 6675-6680. (Proceedings - IEEE Global Communications Conference, GLOBECOM). doi: 10.1109/GLOBECOM54140.2023.10437733

Joint Rate Allocation and Power Control for RSMA-Based Communication and Radar Coexistence Systems

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Keywords

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