Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks

KHAN, Wali Ullah; Ali, Zain; LAGUNAS, Eva; MAHMOOD, Asad; Asif, Muhammad; Ihsan, Asim; CHATZINOTAS, Symeon; Ottersten, Bjorn; Dobre, Octavia A.

doi:10.1109/TWC.2023.3263116

Download

Article (Scientific journals)

Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks

KHAN, Wali Ullah; Ali, Zain; LAGUNAS, Eva et al.

2023 • In IEEE Transactions on Wireless Communications, 22 (11), p. 8423 - 8435

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/10993/63591

DOI
10.1109/TWC.2023.3263116

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks.pdf

Author postprint (3.51 MB)

Download

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

cognitive radio; GEO SatCom; LEO SatCom; Rate splitting multiple access; spectral efficiency optimization; Efficiency optimization; Geostationary earth orbit satellite communication; Geostationary earth orbit satellites; Low earth orbit satellite communication; Low earth orbit satellites; Multiple access; Rate splitting; Satellite communications; Spectral efficiencies; Spectral efficiency optimization; Computer Science Applications; Electrical and Electronic Engineering; Applied Mathematics

Abstract :

[en] Low Earth Orbit (LEO) satellite communication (SatCom) has drawn particular attention recently due to its high data rate services and low round-trip latency. It has low launching and manufacturing costs than Medium Earth Orbit (MEO) and Geostationary Earth Orbit (GEO) satellites. Moreover, LEO SatCom has the potential to provide global coverage with a high-speed data rate and low transmission latency. However, the spectrum scarcity might be one of the challenges in the growth of LEO satellites, impacting severe restrictions on developing ground-space integrated networks. To address this issue, cognitive radio and rate splitting multiple access (RSMA) are the two emerging technologies for high spectral efficiency and massive connectivity. This paper proposes a cognitive radio enabled LEO SatCom using RSMA radio access technique with the coexistence of GEO SatCom network. In particular, this work aims to maximize the sum rate of LEO SatCom by simultaneously optimizing the power budget over different beams, RSMA power allocation for users over each beam, and subcarrier user assignment while restricting the interference temperature to GEO SatCom. The problem of sum rate maximization is formulated as non-convex, where the global optimal solution is challenging to obtain. Thus, an efficient solution can be obtained in three steps: first we employ a successive convex approximation technique to reduce the complexity and make the problem more tractable. Second, for any given resource block user assignment, we adopt KarushKuhnTucker (KKT) conditions to calculate the transmit power over different beams and RSMA power allocation of users over each beam. Third, using the allocated power, we design an efficient algorithm based on the greedy approach for resource block user assignment. For comparison, we propose two suboptimal schemes with fixed power allocation over different beams and random resource block user assignment as the benchmark. Numerical results provided in this work are obtained based on the Monte Carlo simulations, which demonstrate the benefits of the proposed optimization scheme compared to the benchmark schemes.

Disciplines :

Computer science

Author, co-author :

KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Ali, Zain ; University of California Santa Cruz, Department of Electrical and Computer Engineering, Santa Cruz, United States

LAGUNAS, Eva ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

MAHMOOD, Asad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Asif, Muhammad ; Shenzhen University, Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen, China

Ihsan, Asim ; Bangor University, School of Computer Science and Electronic Engineering, Bangor, United Kingdom

CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Ottersten, Bjorn ; University of Luxembourg, Luxembourg City, Interdisciplinary Center for Security, Reliability and Trust (SnT), Esch-sur-Alzette, Luxembourg

Dobre, Octavia A. ; Memorial University, Faculty of Engineering and Applied Science, Department of Electrical and Computer Engineering, St. John's, Canada

External co-authors :

yes

Language :

English

Title :

Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks

Publication date :

November 2023

Journal title :

IEEE Transactions on Wireless Communications

ISSN :

1536-1276

eISSN :

1558-2248

Publisher :

Institute of Electrical and Electronics Engineers, United States - New York

Volume :

Issue :

Pages :

8423 - 8435

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx7/7693/10314841/10097680.pdf?arnumber=10097680

Funders :

Luxembourg National Research Fund (FNR) under the Project MegaLEO

Funding text :

This work was supported by the Luxembourg National Research Fund (FNR) under the Project MegaLEO under Grant C20/IS/14767486.

Available on ORBilu :

since 10 January 2025

Statistics

Number of views

76 (3 by Unilu)

Number of downloads

56 (5 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

WoS citations^™

Bibliography

W. U. Khan, Z. Ali, E. Lagunas, S. Chatzinotas, and B. Ottersten, "Rate splitting multiple access for cognitive radio GEO-LEO co-existing satellite networks," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2022, pp. 01-06.
T. S. Abdu, S. Kisseleff, E. Lagunas, and S. Chatzinotas, "Flexible resource optimization for GEO multibeam satellite communication system," IEEE Trans. Wireless Commun., vol. 20, no. 12, pp. 7888-7902, Dec. 2021.
P. Gu, R. Li, C. Hua, and R. Tafazolli, "Dynamic cooperative spectrum sharing in a multi-beam LEO-GEO co-existing satellite system," IEEE Trans. Wireless Commun., vol. 21, no. 2, pp. 1170-1182, Feb. 2022.
O. Popescu, "Power budgets for CubeSat radios to support ground communications and inter-satellite links," IEEE Access, vol. 5, pp. 12618-12625, 2017.
S. Maleki et al., "Cognitive spectrum utilization in Ka band multibeam satellite communications," IEEE Commun. Mag., vol. 53, no. 3, pp. 24-29, Mar. 2015.
O. Kodheli, "Satellite communications in the new space era: A survey and future challenges," IEEE Commun. Surveys Tuts., vol. 23, no. 1, pp. 70-109, 4th Quart., 2021.
W. S. H. M. W. Ahmad et al., "5G technology: Towards dynamic spectrum sharing using cognitive radio networks," IEEE Access, vol. 8, pp. 14460-14488, 2020.
L. Dai, B. Wang, Z. Ding, Z. Wang, S. Chen, and L. Hanzo, "A survey of non-orthogonal multiple access for 5G," IEEE Commun. Surveys Tuts., vol. 20, no. 3, pp. 2294-2323, 3rd Quart., 2018.
X. Lu, P. Wang, D. Niyato, and E. Hossain, "Dynamic spectrum access in cognitive radio networks with RF energy harvesting," IEEE Wireless Commun., vol. 21, no. 3, pp. 102-110, Jun. 2014.
Z. Yang, M. Chen, W. Saad, and M. Shikh-Bahaei, "Optimization of rate allocation and power control for rate splitting multiple access (RSMA)," IEEE Trans. Commun., vol. 69, no. 9, pp. 5988-6002, Sep. 2021.
H. Wang, C. Wang, J. Yuan, Y. Zhao, R. Ding, and W. Wang, "Coexistence downlink interference analysis between LEO system and GEO system in Ka band," in Proc. IEEE/CIC Int. Conf. Commun. China (ICCC), Aug. 2018, pp. 465-469.
C.-S. Park, C.-G. Kang, Y.-S. Choi, and C.-H. Oh, "Interference analysis of geostationary satellite networks in the presence of moving nongeostationary satellites," in Proc. 2nd Int. Conf. Inf. Technol. Converg. Services, Aug. 2010, pp. 1-5.
S. K. Sharma, S. Chatzinotas, and B. Ottersten, "In-line interference mitigation techniques for spectral coexistence of GEO and NGEO satellites," Int. J. Satell. Commun. Netw., vol. 34, no. 1, pp. 11-39, 2014.
R. Li, P. Gu, and C. Hua, "Optimal beam power control for co-existing multibeam GEO and LEO satellite system," in Proc. 11th Int. Conf. Wireless Commun. Signal Process. (WCSP), Oct. 2019, pp. 1-6.
P. Gu, R. Li, C. Hua, and R. Tafazolli, "Cooperative spectrum sharing in a co-existing LEO-GEO satellite system," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2020, pp. 1-6.
C. Wang, D. Bian, S. Shi, J. Xu, and G. Zhang, "A novel cognitive satellite network with GEO and LEO broadband systems in the downlink case," IEEE Access, vol. 6, pp. 25987-26000, 2018.
C. Zhang, J. Jin, H. Zhang, and T. Li, "Spectral coexistence between LEO and GEO satellites by optimizing direction normal of phased array antennas," China Commun., vol. 15, no. 6, pp. 18-27, Jun. 2018.
M. Jalali, F. Ortiz, E. Lagunas, S. Kisseleff, L. Emiliani, and S. Chatzinotas, "Radio regulation compliance of NGSO constellations' interference towards GSO ground stations," in Proc. IEEE 33rd Annu. Int. Symp. Pers., Indoor Mobile Radio Commun. (PIMRC), Sep. 2022, pp. 1-6.
T. Wang, W. Li, and Y. Li, "Co-frequency interference analysis between large-scale NGSO constellations and GSO systems," in Proc. Int. Conf. Wireless Commun. Signal Process. (WCSP), Oct. 2020, pp. 679-684.
Z. Gao, A. Liu, C. Han, and X. Liang, "Sum rate maximization of massive MIMO NOMA in LEO satellite communication system," IEEE Wireless Commun. Lett., vol. 10, no. 8, pp. 1667-1671, Aug. 2021.
L. Bai, L. Zhu, X. Zhang, W. Zhang, and Q. Yu, "Multi-satellite relay transmission in 5G: Concepts, techniques, and challenges," IEEE Netw., vol. 32, no. 5, pp. 38-44, Sep./Oct. 2018.
X. Zhu, C. Jiang, L. Kuang, N. Ge, and J. Lu, "Non-orthogonal multiple access based integrated terrestrial-satellite networks," IEEE J. Sel. Areas Commun., vol. 35, no. 10, pp. 2253-2267, Oct. 2017.
Z. Lin, M. Lin, J.-B. Wang, T. de Cola, and J. Wang, "Joint beamforming and power allocation for satellite-terrestrial integrated networks with non-orthogonal multiple access," IEEE J. Sel. Areas Commun., vol. 13, no. 3, pp. 657-670, Jun. 2019.
Z. Gao, A. Liu, C. Han, and X. Liang, "Max completion time optimization for Internet of Things in LEO satellite-terrestrial integrated networks," IEEE Internet Things J., vol. 8, no. 12, pp. 9981-9994, Jun. 2021.
J. Chu, X. Chen, C. Zhong, and Z. Zhang, "Robust design for NOMAbased multibeam LEO satellite Internet of Things," IEEE Internet Things J., vol. 8, no. 3, pp. 1959-1970, Aug. 2021.
Y. Mao, O. Dizdar, B. Clerckx, R. Schober, P. Popovski, and H. V. Poor, "Rate-splitting multiple access: Fundamentals, survey, and future research trends," IEEE Commun. Surveys Tuts., vol. 24, no. 4, pp. 2073-2126, 1st Quart., 2022.
L. Yin and B. Clerckx, "Rate-splitting multiple access for multibeam satellite communications," in Proc. IEEE Int. Conf. Commun. Workshops (ICC Workshops), Jun. 2020, pp. 1-6.
L. Yin and B. Clerckx, "Rate-splitting multiple access for multigroup multicast and multibeam satellite systems," IEEE Trans. Commun., vol. 69, no. 2, pp. 976-990, Feb. 2021.
Z. Lin, M. Lin, T. de Cola, J.-B. Wang, W.-P. Zhu, and J. Cheng, "Supporting IoT with rate-splitting multiple access in satellite and aerial-integrated networks," IEEE Internet Things J., vol. 8, no. 14, pp. 11123-11134, Jul. 2021.
Z. W. Si, L. Yin, and B. Clerckx, "Rate-splitting multiple access for multigateway multibeam satellite systems with feeder link interference," IEEE Trans. Commun., vol. 70, no. 3, pp. 2147-2162, Mar. 2022.
J. Wang, L. Zhou, K. Yang, X. Wang, and Y. Liu, "Multicast precoding for multigateway multibeam satellite systems with feeder link interference," IEEE Trans. Wireless Commun., vol. 18, no. 3, pp. 1637-1650, Mar. 2019.
L. You, K.-X. Li, J.Wang, X. Gao, X.-G. Xia, and B. Ottersten, "Massive MIMO transmission for LEO satellite communications," IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1851-1865, Aug. 2020.
W. U. Khan, E. Lagunas, A. Mahmood, B. M. ElHalawany, S. Chatzinotas, and B. Ottersten, "When RIS meets GEO satellite communications: A new sustainable optimization framework in 6G," in Proc. IEEE 95th Veh. Technol. Conf. (VTC-Spring), Jun. 2022, pp. 1-6.
M. Zeng, E. Bedeer, O. A. Dobre, P. Fortier, Q.-V. Pham, and W. Hao, "Energy-efficient resource allocation for IRS-assisted multiantenna uplink systems," IEEE Wireless Commun. Lett., vol. 10, no. 6, pp. 1261-1265, Jun. 2021.
M. Hong, Q. Li, and Y.-F. Liu, "Decomposition by successive convex approximation: A unifying approach for linear transceiver design in heterogeneous networks," IEEE Trans. Wireless Commun., vol. 15, no. 2, pp. 1377-1392, Feb. 2016.
W. U. Khan, M. A. Jamshed, E. Lagunas, S. Chatzinotas, X. Li, and B. Ottersten, "Energy efficiency optimization for backscatter enhanced NOMA cooperative V2X communications under imperfect CSI," IEEE Trans. Intell. Transp. Syst., early access, Jul. 7, 2022, doi: 10.1109/TITS.2022.3187567.
M. O. K. Mendonca, P. S. R. Diniz, T. N. Ferreira, and L. Lovisolo, "Antenna selection in massive MIMO based on greedy algorithms," IEEE Trans. Wireless Commun., vol. 19, no. 3, pp. 1868-1881, Mar. 2020.
Y. Mao, B. Clerckx, and V. Li, "Rate-splitting multiple access for downlink communication systems: Bridging, generalizing, and outperforming SDMA and NOMA," EURASIP J. Wireless Commun. Netw., vol. 2018, no. 1, pp. 1-54, May 2018.