Improving 6G Network Spectrum Efficiency with Non-Cooperative and Cooperative Spectrum Sharing Using NOMA and Massive-MIMO

Mohamed Hassan; Manwinder Singh; Khalid Bilal; Imadeldin Elsayed

doi:10.4108/eetmca.3755

Authors

Mohamed Hassan Lovely Professional University
Manwinder Singh Lovely Professional University
Khalid Bilal Sudan University of Science and Technology
Imadeldin Elsayed Universiti Malaysia Pahang

DOI:

https://doi.org/10.4108/eetmca.3755

Keywords:

Non-orthogonal multiple access (NOMA), Cooperative Cognitive Radio Network (CCRN), Un-Cooperative Cognitive Radio Network (Un-CCRN), massive multiple-input and multiple-output (M-MIMO), spectrum efficiency (SE)

Abstract

There is an expectation that standards for sixth-generation (6G) wireless communication networks in the future would give previously unheard-of speeds for the flow of information as well as spectrum optimization. This will present new issues for 6G networks. Non-orthogonal multiple access (NOMA) is one of the most efficient ways to boost the spectrum efficiency (SE) of a 6G network. The most promising contemporary technologies, such as cognitive radio (CR) and multiple access, can be used to improve SE. When NOMA's network-oriented multi-access capabilities are combined with those of the Cognitive Radio Network (CRN), a new era of efficient communication is expected to dawn. To improve the spectral efficiency (SE) of the NOMA DL power domain (PD), this work presents two distinctive strategies that are used in conjunction with un-cooperative and cooperative CRN (Un-CCRN and CCRN) in the event that one primary user (PU) is unable to receive through the dedicated channel due to interference or noise. Users' distances, power placement coefficients, and transmit powers (TPs) vary across the proposed three network topologies, and over the proposed three network sizes of 128x128, 256x256, and 512x512 Massive Multiple Input Multiple Output (M-MIMO). Performance is analyzed while simultaneously considering channel instability and successive interference cancellation (SIC). The channels of fading are modelled after frequency-dependent Rayleigh fading. MATLAB is used to determine the proposed model's SE. With 128x128, 256x256, and 512x512 M-MIMO integrated into the DL NOMA system, the system's SE performance is improved by 73%, 82%, and 87%, respectively; with the Un-CCRN NOMA model, the improvement is 75%, 83%, and 88%; and with the CCRN-NOMA model, the improvement is 75.8%, 84%, and 88.3%. The SE is significantly improved by employing M-MIMO technology. The acquired expressions agree with the outcomes of the provided Monte Carlo simulations, providing further evidence for the validity of our investigation.

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References

S. Mumtaz et al., "Terahertz communication for vehicular networks", IEEE Trans. Veh. Technol., vol. 66, pp. 5617-5625, Jul. 2017.

W. Saad, M. Bennis and M. Chen, "A vision of 6G wireless systems: Applications trends technologies and open research problems", IEEE Netw., vol. 34, no. 3, pp. 134-142, May/Jun. 2020.

G. Gui, H. Sari and E. Biglieri, "A New Definition of Fairness for Non-Orthogonal Multiple Access," in IEEE Communications Letters, vol. 23, no. 7, pp. 1267-1271, July 2019, doi: 10.1109/LCOMM.2019.2916398.

M. Hassan, M. Singh and K. Hamid, "Survey on NOMA and Spectrum Sharing Techniques in 5G," 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2021, pp. 1-4, doi: 10.1109/SIST50301.2021.9465962.

G. Gui, H. Sari and E. Biglieri, "A New Definition of Fairness for Non-Orthogonal Multiple Access," in IEEE Communications Letters, vol. 23, no. 7, pp. 1267-1271, July 2019, doi:10.1109/LCOMM.2019.2916398.

Q. Wang, R. Zhang, L. -L. Yang and L. Hanzo, "Non-Orthogonal Multiple Access: A Unified Perspective," in IEEE Wireless Communications, vol. 25, no. 2, pp. 10-16, April 2018, doi: 10.1109/MWC.2018.1700070.

P. N. Thakre and S. B. Pokle, "A survey on Power Allocation in PD-NOMA for 5G Wireless Communication Systems," 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22), Nagpur, India, 2022, pp. 1-5, doi: 10.1109/ICETET-SIP-2254415.2022.9791576.

L. Dai, B. Wang, Z. Ding, Z. Wang, S. Chen and L. Hanzo, "A Survey of Non-Orthogonal Multiple Access for 5G," in IEEE Communications Surveys & Tutorials, vol. 20, no. 3, pp. 2294-2323, thirdquarter 2018, doi: 10.1109/COMST.2018.2835558.

K. Chung, "Correlated Superposition Coding: Lossless Two-User NOMA Implementation Without SIC Under User-Fairness," in IEEE Wireless Communications Letters, vol. 10, no. 9, pp. 1999-2003, Sept. 2021, doi: 10.1109/LWC.2021.3089996.

H. Haci, H. Zhu and J. Wang, "Performance of Non-orthogonal Multiple Access With a Novel Asynchronous Interference Cancellation Technique," in IEEE Transactions on Communications, vol. 65, no. 3, pp. 1319-1335, March 2017, doi: 10.1109/TCOMM.2016.2640307.

X. Chen, R. Jia and D. W. K. Ng, "On the Design of Massive Non-Orthogonal Multiple Access With Imperfect Successive Interference Cancellation," in IEEE Transactions on Communications, vol. 67, no. 3, pp. 2539-2551, March 2019, doi: 10.1109/TCOMM.2018.2884476.

S. Rezvani, E. A. Jorswieck, R. Joda and H. Yanikomeroglu, "Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 4, pp. 1162-1189, April 2022, doi: 10.1109/JSAC.2022.3143237.

D. H. Tashman and W. Hamouda, "An Overview and Future Directions on Physical-Layer Security for Cognitive Radio Networks," in IEEE Network, vol. 35, no. 3, pp. 205-211, May/June 2021, doi: 10.1109/MNET.011.2000507.

M. Hassan, M. Singh, K. Hamid, "Overview of Cognitive Radio Networks, " Journal of Physics: Conference Series, International Conference on Robotics and Artificial Intelligence (RoAI) 28-29 December, Chennai, India, vol. 1831, 2020, doi: 10.1088/1742-6596/1831/1/012013.

M. Hassan, M. Singh, K. Hamid, "Survey on Advanced Spectrum Sharing Using Cognitive Radio Technique, " In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1270. Springer, Singapore. doi:10.1007/978-981-15-8289-9_62.

W. Liang, S. X. Ng and L. Hanzo, "Cooperative Overlay Spectrum Access in Cognitive Radio Networks," in IEEE Communications Surveys & Tutorials, vol. 19, no. 3, pp. 1924-1944, thirdquarter 2017, doi: 10.1109/COMST.2017.2690866.

W. S. H. M. W. Ahmad et al., "5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks," in IEEE Access, vol. 8, pp. 14460-14488, 2020, doi: 10.1109/ACCESS.2020.2966271.

L. Lv, Q. Ni, Z. Ding and J. Chen, "Application of Non-Orthogonal Multiple Access in Cooperative Spectrum-Sharing Networks Over Nakagami- m Fading Channels," in IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 5506-5511, June 2017, doi: 10.1109/TVT.2016.2627559.

L. Lv, J. Chen, Q. Ni and Z. Ding, "Design of Cooperative Non-Orthogonal Multicast Cognitive Multiple Access for 5G Systems: User Scheduling and Performance Analysis," in IEEE Transactions on Communications, vol. 65, no. 6, pp. 2641-2656, June 2017, doi: 10.1109/TCOMM.2017.2677942.

Y. Tang, Y. Huang, M. Wen, L. -L. Yang and C. -B. Chae, "A Molecular Spatio-Temporal Modulation Scheme for MIMO Communications," 2021 IEEE Wireless Communications and Networking Conference (WCNC), 2021, pp. 1-6, doi: 10.1109/WCNC49053.2021.9417557.

G. Kaddoum, Y. Nijsure and H. Tran, "Generalized Code Index Modulation Technique for High-Data-Rate Communication Systems," in IEEE Transactions on Vehicular Technology, vol. 65, no. 9, pp. 7000-7009, Sept. 2016, doi: 10.1109/TVT.2015.2498040.

A. J. Moshayedi, Z. -Y. Chen, L. Liao and S. Li, " Sunfa Ata Zuyan machine learning models for moon phase detection: algorithm, prototype and performance comparison, " TELKOMNIKA Telecommunication Computing Electronics and Control, Vol. 20, No. 1, February 2022, pp. 129~140, ISSN: 1693-6930, doi: 10.12928/TELKOMNIKA.v20i1.22338.

A. J. Moshayedi, Z. -Y. Chen, L. Liao and S. Li, "Portable Image Based Moon Date Detection and Declaration: System and Algorithm Code Sign," 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Tianjin, China, 2019, pp. 1-6, doi: 10.1109/CIVEMSA45640.2019.9071604.

A. J. Moshayedi, A. S. Khan, S. Yang and S. M. Zanjani, "Personal Image Classifier Based Handy Pipe Defect Recognizer (HPD): Design and Test," 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), Xi'an, China, 2022, pp. 1721-1728, doi: 10.1109/ICSP54964.2022.9778676.

Y. Liu, Q. Zhang, X. He, al. et, '' Spectral-efficient hybrid precoding for multi-antenna multi-user mmWave massive MIMO systems with low complexity,'' J Wireless Com Network 2022, 66 (2022). doi:10.1186/s13638-022-02150-2.

F. Zhang, M. M. Wang, X. Bao and W. Liu, "Centralized Resource Allocation and Distributed Power Control for NOMA-Integrated NR V2X," in IEEE Internet of Things Journal, vol. 8, no. 22, pp. 16522-16534, 15 Nov.15, 2021, doi: 10.1109/JIOT.2021.3075250.

Z. Zhou, H. Yu, S. Mumtaz, S. Al-Rubaye, A. Tsourdos and R. Q. Hu, "Power Control Optimization for Large-Scale Multi-Antenna Systems," in IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7339-7352, Nov. 2020, doi: 10.1109/TWC.2020.3010701.

Sousa de Sena, D. B. da Costa, Z. Ding, P. H. J. Nardelli, U. S. Dias and C. B. Papadias, "Massive MIMO-NOMA Networks With Successive Sub-Array Activation," in IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1622-1635, March 2020, doi: 10.1109/TWC.2019.2955647.

L. Zhou, J. Dai, W. Xu and C. Chang, "Sparse Channel Estimation for Intelligent Reflecting Surface Assisted Massive MIMO Systems," in IEEE Transactions on Green Communications and Networking, vol. 6, no. 1, pp. 208-220, March 2022, doi: 10.1109/TGCN.2022.3146188.

M. Hassan, M. Singh, and Kh. Hamid , "BER Performance of NOMA Downlink for AWGN and Rayleigh Fading Channels in (SIC)," in MCA, EAI, 2022, doi: 10.4108/eai.20-6-2022.174227.

M. Hassan, M. Singh, Kh. Hamid, R. Saeed, M. Abdelhaq, and R.Alsaqour," Design of Power Location Coefficient System for 6G Downlink Cooperative NOMA Network," Energies, 2022, 15(19), 6996; doi:10.3390/en15196996.

M. Hassan, M. Singh, Kh. Hamid, R. Saeed, M. Abdelhaq, and R.Alsaqour," Modeling of NOMA-MIMO-Based Power Domain for 5G Network under Selective Rayleigh Fading Channels," Energies 2022, 15, 5668, doi:10.3390/en15155668.

K. Cheng, L. Zhu, W. Wang and P. Chen, "CCSAE-Based Un-Cooperative Communication Behavior Recognition Scheme," 2022 7th International Conference on Computer and Communication Systems (ICCCS), Wuhan, China, 2022, pp. 741-745, doi: 10.1109/ICCCS55155.2022.9846728.

X. Liu, M. Jia, Z. Na, W. Lu and F. Li, "Multi-Modal Cooperative Spectrum Sensing Based on Dempster-Shafer Fusion in 5G-Based Cognitive Radio," in IEEE Access, vol. 6, pp. 199-208, 2018, doi: 10.1109/ACCESS.2017.2761910.

Sousa de Sena, D. Benevides da Costa, Z. Ding and P. H. J. Nardelli, "Massive MIMO–NOMA Networks With Multi-Polarized Antennas," in IEEE Transactions on Wireless Communications, vol. 18, no. 12, pp. 5630-5642, Dec. 2019, doi: 10.1109/TWC.2019.2937868.

Shen, D.; Wei, C.; Zhou, X.; Wang, L.; Xu, C. Photon Counting Based Iterative Quantum Non‐Orthogonal Multiple Access with Spatial Coupling. In Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 9–13 December 2018; pp. 1–6.

Dinh, S., Liu, H., Ouyang, F. (2019). Massive mimo cognitive cooperative relaying. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA. Lecture Notes in Computer Science, vol 11604. Springer.

Mona, B., Elmustafa S., Rashid A. S. (2020). Ultra-Massive mimo in thz communications, Book: Next generation wireless terahertz communication networks, CRC group, Taylor & Francis Group, USA.