Skip to main content
Log in

Spectrum sharing optimization based on joint user cluster pairing scheme in CRN-NOMA systems

  • ORIGINAL ARTICLE
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

This paper addresses the challenge of enhancing spectrum sharing in Cognitive Radio Networks (CRNs) while maintaining optimal data rates, energy efficiency, and interference thresholds. We introduce an innovative approach that integrates Non-Orthogonal Multiple Access (NOMA) into CRNs to accommodate a higher number of secondary users effectively. The core of this methodology is the development of a Joint User Cluster Pairing (J-UCP) scheme, which plays a pivotal role in balancing energy constraints against average interference power in the CRN-NOMA system. The J-UCP scheme operates by first arranging secondary users in ascending order of their channel gains relative to the secondary base station. These users are then divided into two groups: a ‘strong user group’ comprising the upper half and a ‘weak user group’ forming the lower half. In an innovative step, the weak user group is further split and reordered. Pairing within these groups follows a strategic protocol: a strong and a weak user are paired only if their channel gain difference exceeds a predefined threshold. This process effectively mitigates the formation of low-gain (near-gain) user pairs, which can impede system performance. Our research primarily investigates the energy efficiency of these user pairs in relation to average interference power, considering both peak and average energy efficiencies across Rayleigh and Rician channels. Additionally, we explore the ergodic capacity of user pairs under these parameters. The findings demonstrate the efficacy of the J-UCP scheme in optimizing the performance of CRN-NOMA systems, presenting a significant advancement in the field of wireless communication.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from €37.37 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price includes VAT (Netherlands)

Instant access to the full article PDF.

Fig. 1
The alternative text for this image may have been generated using AI.
Fig. 2
The alternative text for this image may have been generated using AI.
Fig. 3
The alternative text for this image may have been generated using AI.
Fig. 4
The alternative text for this image may have been generated using AI.
Fig. 5
The alternative text for this image may have been generated using AI.
Fig. 6
The alternative text for this image may have been generated using AI.
Fig. 7
The alternative text for this image may have been generated using AI.
Fig. 8
The alternative text for this image may have been generated using AI.
Fig. 9
The alternative text for this image may have been generated using AI.
Fig. 10
The alternative text for this image may have been generated using AI.
Fig. 11
The alternative text for this image may have been generated using AI.

Similar content being viewed by others

References

  • Abd-Elnaby M, Sedhom GG, Messiha NW et al (2021) Efficient user pairing algorithm for enhancement of spectral efficiency and interference cancelation in downlink NOMA system. Wireless Netw 27:1035–1047

    Article  Google Scholar 

  • Agarwal A, Member GS, Chaurasiya R (2020) Outage probability analysis for NOMA Downlink and uplink communication systems with generalized fading channels. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3042993

    Article  Google Scholar 

  • Celik A, Tsai M-C, Radaydeh RM, Al-Qahtani FS, Alouini M-S (2019) Distributed cluster formation and power-bandwidth allocation for imperfect NOMA in DL-HetNets. IEEE Trans Commun 67(2):1677–1692

    Article  Google Scholar 

  • Dibaei M, Ghaffari A (2020) Full-duplex medium access control protocols in wireless networks: a survey. Wireless Netw 26:2825–2843. https://doi.org/10.1007/s11276-019-02242-w

    Article  Google Scholar 

  • Do D, Le A, Lee B (2019) On performance analysis of underlay cognitive radio-aware hybrid OMA/NOMA networks with imperfect CSI. Electronics 8(7):819. https://doi.org/10.3390/electronics8070819

    Article  Google Scholar 

  • Gamal S, Rihan M, Zaghloul A, Shaalan A (2018) Two-tier power allocation for non-orthogonal multiple access based cognitive radio networks. In: 2018 IEEE/ACS 15th international conference on computer systems and applications (AICCSA). IEEE, Aqaba, pp 1–5

  • Gu X, Ji X, Ding Z, Wu W, Peng M (2018) Outage probability analysis of non-orthogonal multiple access in cloud radio access networks. IEEE Commun Lett 22(1):149–152

    Article  Google Scholar 

  • Huang Y, He X, Du Y (2023) Research on user pairing techniques based on NOMA in cognitive radio networks. J Comput Commun 11(03):131–145. https://doi.org/10.4236/jcc.2023.113010

    Article  Google Scholar 

  • Islam S, Avazov N, Dobre O, Kwak K (2017) Power-domain non-orthogonal multiple access (NOMA) in 5G systems: potentials and challenges. IEEE Commun Surv Tutor 19(2):721–742. https://doi.org/10.1109/comst.2016.2621116

    Article  Google Scholar 

  • Khani M (2023) Resource allocation in 5G cloud-RAN using deep reinforcement learning algorithms: a review. Trans Emerg Telecommun Technol. https://doi.org/10.1002/ett.4929

    Article  Google Scholar 

  • Li S, Liang W, Xu Q, Yang N, Jia K (2022) Performance analysis of cooperative cognitive radio networks based on hybrid NOMA/OMA and best relay selection. IET Commun 16(18):2219–2239. https://doi.org/10.1049/cmu2.12476

    Article  Google Scholar 

  • Liu Y, Qin Z, Elkashlan M, Ding Z, Nallanathan A, Hanzo L (2018) Non-orthogonal multiple access for 5G and beyond. arXiv preprint https://doi.org/10.48550/arxiv.1808.00277

  • Liu R, Guo K, An K, Zhu S, Shuai H (2022) Joint decoding order and power allocation design for a noma-based overlay cognitive integrated satellite-terrestrial relay network. Wirel Commun Mob Comput 2022:1–13. https://doi.org/10.1155/2022/2638461

    Article  Google Scholar 

  • Mahady IA, Bedeer E, Ikki S, Yanikomeroglu H (2019) Sum rate maximization of NOMA systems under imperfect successive interference cancellation. IEEE Commun Lett 23(3):474–477

    Article  Google Scholar 

  • Merlano-Duncan JC, Sharma SK, Chatzinotas S, Ottersten B, Wang X (2017) "Multi-antenna based one-bit spatiotemporal wideband sensing for cognitive radio networks," IEEE International conference on communications (ICC). Paris, France, pp 1–7. https://doi.org/10.1109/ICC.2017.7996737

  • Miandoab FT, Tazehkand BM (2019) A user pairing method to improve the channel capacity for multiuser MIMO channels in downlink mode based on NOMA. Comput Commun 146:15–21. https://doi.org/10.1016/j.comcom.2019.07.005

    Article  Google Scholar 

  • Nguyen T-V, Nguyen V-D, da Costa DB, An B (2020) Hybrid user pairing for spectral and energy efficiencies in multiuser MISO-NOMA networks with SWIPT. IEEE Trans Commun 68(8):4874–4890

    Article  Google Scholar 

  • Sun H, Zhou F, Hu RQ, Hanzo L (2019) Robust beamforming design in a NOMA cognitive radio network relying on SWIPT. IEEE J Sel Areas Commun 37(1):142–155

    Article  Google Scholar 

  • Thiyagarajan S (2023) Estimating optimal joint user cluster pair transmission power using black widow optimization technique. J Inst Eng (india) Ser B 104(5):1069–1077. https://doi.org/10.1007/s40031-023-00915-x

    Article  Google Scholar 

  • Thiyagarajan S, Kumar K, Renuka S (2023) Performance estimation of joint user cluster pairing for 2-SUs CR-multi-user NOMA downlink system. Int J Inf Technol. https://doi.org/10.1007/s41870-023-01672-2

    Article  Google Scholar 

  • Wu Y, Zhou F, Wei W, Wu Q, Hu R, Wong K (2022) Multi-objective optimization for spectrum and energy efficiency tradeoff in IRS-assisted CRNs with NOMA. IEEE Trans Wireless Commun 21(8):6627–6642. https://doi.org/10.1109/twc.2022.3151624

    Article  Google Scholar 

  • Xu YJ, Zhao XH (2014) Robust probabilistic distributed power control algorithm for underlay cognitive radio networks under channel uncertainties. Wireless Pers Commun 78(2):1297–1312

    Article  MathSciNet  Google Scholar 

  • Xu L, Xing H, Deng Y, Nallanathan A, Zhuansun C (2021) Fairness-aware throughput maximization for underlaying cognitive NOMA networks. IEEE Syst J 15(2):1881–1892. https://doi.org/10.1109/jsyst.2020.2997695

    Article  Google Scholar 

  • Zeng M, Tsiropoulos GI, Yadav A, Dobre OA, Ahmed MH (2017) A two-phase power allocation scheme for CRNs employing NOMA. In: GLOBECOM 2017-2017 IEEE global communications conference. IEEE, Singapore, pp 1–6

Download references

Funding

Not Applicable.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Thiyagarajan.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Thiyagarajan, S., Kumar, K. & Renuka, S. Spectrum sharing optimization based on joint user cluster pairing scheme in CRN-NOMA systems. Int J Syst Assur Eng Manag 15, 4527–4539 (2024). https://doi.org/10.1007/s13198-024-02469-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1007/s13198-024-02469-7

Keywords