Best Relay Selection Strategy in Cooperative Spectrum Sharing Framework with Mobile-Based End User
Source abstract
Abstract
In this work, a cognitive relay network (CRN) with interference constraint from the primary user (PU) with a mobile end user is studied. The proposed system model employs a half-duplex transmission between a single PU and a single secondary user (SU). In addition, an amplify and forward (AF) relaying technique is employed between the SU source and SU destination. In this context, the mobile end user (SU destination) is assumed to move at high vehicular speeds, whereas other nodes (SU Source, SU relays and PU) are assumed to be stationary. The proposed scheme dynamically determines the best relay for transmission based on the highest signal-to-noise (SNR) ratio by deploying selection combiner at the SU destination, thereby achieving diversity. All channels connected with the stationary nodes are modelled using Rayleigh distribution, whereas all other links connected with the mobile end user are modelled using Nakagami-m fading distribution (m<1). The outage probabilities (OPs) are obtained considering several scenarios and Monte Carlo simulation is used to verify the numerical results. The obtained results show that a variety of factors, including the number of SU relays, the severity of the fading channels, the position of the PU, the fading model, and the mobile end user speed, might influence the CRN’s performance.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Cognitive Radio Networks and Spectrum Sensing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan
Department of Electrical Engineering, Faculty of Engineering and Technology, Applied Science Private University, Amman 11937, Jordan
MEU Research Unit, Middle East University, Amman 11831, Jordan
Department of Computer Engineering, School of Engineering, The University of Jordan, Amman 11942, Jordan
References (70)
Show source-provided references
1. 5G mobile services and scenarios: Challenges and solutions10.3390/su10103626 ↗
2. 6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap10.3390/s21051709 ↗
3. The Technologies of 5G: Opportunities Applications and Challenges10.11648/j.ijse.20210502.12 ↗
4. A Survey on Resource Management for 6G Heterogeneous Networks: Current Research, Future Trends, and Challenges10.3390/electronics12030647 ↗
5. Multi-Connectivity for 5G Networks and Beyond: A Survey10.3390/s22197591 ↗
6. Novel LAA waiting and transmission time configuration methods for improved LTE-LAA/Wi-Fi coexistence over unlicensed bands10.1109/ACCESS.2020.3021511 ↗
7. NR-U and IEEE 802.11 Technologies Coexistence in Unlicensed mmWave Spectrum: Models and Evaluation10.1109/ACCESS.2020.2987467 ↗
8. Alhulayil, M., and López-Benítez, M. (2018, January 18–20). Coexistence mechanisms for LTE and Wi-Fi networks over unlicensed frequency bands. Proceedings of the 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), Budapest, Hungary.10.1109/CSNDSP.2018.8471826 ↗
9. Analytical Modeling of Wi-Fi and LTE-LAA Coexistence: Throughput and Impact of Energy Detection Threshold10.1109/TNET.2018.2856901 ↗
10. Alhulayil, M., and López-Benítez, M. (November, January 29). Static contention window method for improved LTE-LAA/Wi-Fi coexistence in unlicensed bands. Proceedings of the 2019 International Conference on Wireless Networks and Mobile Communications (WINCOM), Fez, Morocco.10.1109/WINCOM47513.2019.8942468 ↗
11. Alhulayil, M., and López-Benítez, M. (2019, January 15–18). Dynamic contention window methods for improved coexistence between LTE and Wi-Fi in unlicensed bands. Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW), Marrakech, Morocco.10.1109/WCNCW.2019.8902488 ↗
12. Alhulayil, M., and López-Benítez, M. (2020, January 6–9). LTE/Wi-Fi coexistence in unlicensed bands based on dynamic transmission opportunity. Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), Seoul, Republic of Korea.10.1109/WCNCW48565.2020.9124747 ↗
13. Alhulayil, M., and López-Benítez, M. (November, January 29). Methods for the allocation of almost blank subframes with fixed duty cycle for improved LTE-U/Wi-Fi coexistence. Proceedings of the 2019 International Conference on Wireless Networks and Mobile Communications (WINCOM), Fez, Morocco.10.1109/WINCOM47513.2019.8942400 ↗
14. Convergence of mobile broadband and broadcast services: A cognitive radio sensing and sharing perspective10.23919/ICN.2020.0003 ↗
15. Multiple access schemes for cognitive radio networks: A survey10.1016/j.phycom.2019.100953 ↗
16. A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer10.3390/electronics10030318 ↗
17. Review on cross-layer design for cognitive ad-hoc and sensor network10.1049/iet-com.2019.0636 ↗
18. A Survey on Spectrum Management for Unmanned Aerial Vehicles (UAVs)10.1109/ACCESS.2021.3138048 ↗
19. Short-Packet Covert Communication in Interweave Cognitive Radio Networks10.1109/TVT.2022.3210991 ↗
20. Sharmila, A., and Dananjayan, P. (2019, January 29–30). Spectrum Sharing Techniques in Cognitive Radio Networks–A Survey. Proceedings of the 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India.10.1109/ICSCAN.2019.8878714 ↗
21. Cooperative Communication Techniques for Spectrum Sharing10.1002/9781119551539.ch8 ↗
22. Cognitive Region Design for Overlay Cognitive Satellite Terrestrial Networks10.1109/LCOMM.2020.3022660 ↗
23. Integration of Cognitive Radio Technology in NOMA-Based B5G Networks: State of the Art, Challenges, and Enabling Technologies10.1109/ACCESS.2023.3242645 ↗
24. Sixth Generation (6G) Cognitive Radio Network (CRN) Application, Requirements, Security Issues, and Key Challenges10.1155/2021/1331428 ↗
25. Cognitive radio based spectrum sharing models for multicasting in 5G cellular networks: A survey10.1016/j.comnet.2022.108870 ↗
26. Hlayel, M., Hayajneh, A.M., Al-Mistarihi, M.F., Shurman, M., and Darabkh, K.A. (2014, January 11–14). Closed-form expression of bit error rate in dual-hop dual-branch mixed relaying cooperative networks with best-path selection over Rayleigh fading channels. Proceedings of the 2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices (SSD14), Barcelona, Spain.10.1109/SSD.2014.6808897 ↗
27. Analysis of Joint Relay Selection and Resource Allocation Scheme for Relay-Aided D2D Communication Networks10.1109/ACCESS.2019.2944403 ↗
28. On the performance analysis of dual hop relaying systems using differential amplify-and-forward along with post-detection selection combining techniques over Nakagami-m fading channels10.1002/ett.4065 ↗
29. Mohaisen, R., Al-Mistarihi, M.F., and Darabkh, K.A. (2020, January 1–3). Outage Probability Evaluation for Relay-Based DF Cooperative Diversity Systems with Multipath Fading Channels and Non-Identical Interferers. Proceedings of the 2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), Jaipur, India.10.1109/ICRAIE51050.2020.9358336 ↗
30. Mohaisen, R., Al-Mistarihi, M.F., and Darabkh, K.A. (2020, January 26–27). Bit-Error Rate Analysis of Relay-Based DF Cooperative Diversity Systems Considering Multipath Fading Channels Along with Non-Identical Interferers. Proceedings of the 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), Ho Chi Minh City, Vietnam.10.1109/NICS51282.2020.9335855 ↗
31. Performance evaluation of multiuser diversity in multiuser two-hop cooperative multi-relay wireless networks using maximal ratio combining over Rayleigh fading channels10.1002/dac.2640 ↗
32. Machine learning-optimized relay selection method for mitigating interference in next generation communication networks10.1007/s11276-023-03258-z ↗
33. Performance of Cooperative Relay NOMA with Large Antenna Transmitters10.3390/electronics11213482 ↗
34. Al-Mistarihi, M.F., Aqel, A.S., and Darabkh, K.A. (2019, January 26–28). BER Analysis in Dual Hop Differential Amplify-and-Forward Relaying Systems with Selection Combining Using M-ary Phase-Shift Keying over Nakagami-m Fading Channels. Proceedings of the 19th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems Co-Located with the 12th International Conference on Internet of Things and Smart Spaces (NEW2AN/ruSMART 2019), St. Petersburg, Russia.10.1007/978-3-030-30859-9_60 ↗
35. Bhattacharyya, S., Kumar, P., Sharma, S., Darshi, S., and Almohammedi, A.A. (2021, January 13–16). A Hybrid-Combine-and-Forward Relaying Scheme for Network Coded Cooperative Systems. Proceedings of the 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Hyderabad, India.10.1109/ANTS52808.2021.9936936 ↗
36. Future generation communications with game strategies: A comprehensive survey10.1016/j.comcom.2022.05.024 ↗
37. An Overview and Future Directions on Physical-Layer Security for Cognitive Radio Networks10.1109/MNET.011.2000507 ↗
38. Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey10.1016/j.phycom.2021.101415 ↗
39. Spectrum sensing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review10.1016/j.phycom.2022.101673 ↗
40. Secrecy Performance of Threshold-Based Cognitive Relay Network With Diversity Combining10.1109/JCN.2018.000054 ↗
41. On the secrecy outage probability and performance trade-off of the multi-hop cognitive relay networks10.1007/s11235-019-00608-1 ↗
42. Cognitive Multi-User Multi-Relay Network: A Decentralized Scheduling Technique10.1109/TCCN.2020.3020299 ↗
43. Al-Mistarihi, M.F., Mohaisen, R., and Darabkh, K.A. (2019, January 12–14). BER analysis in relay-based DF cooperative diversity systems over Rayleigh fading channels with non-identical interferers near the destination. Proceedings of the 2019 International Conference on Advanced Communication Technologies and Networking (CommNet), Rabat, Morocco.10.1109/COMMNET.2019.8742388 ↗
44. Performance of relay-based decode-and-forward cooperative diversity systems over Rayleigh fading channels with non-identical interferers10.1049/iet-com.2019.0129 ↗
45. Al-Mistarihi, M.F., Mohaisen, R., and Darabkh, K.A. (2019, January 26–28). Closed-form expression for BER in relay-based df cooperative diversity systems over Nakagami-m fading channels with non-identical interferers. Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, St. Petersburg, Russia.
46. Performance evaluation of decode and forward cooperative diversity systems over Nakagami-m fading channels with non-identical interferers10.11591/ijece.v10i5.pp5316-5328 ↗
47. Performance Analysis of Energy Efficient Spatial Modulation in Bidirectional Cooperative Cognitive Radio System with Eavesdropper10.1007/s11277-022-09543-y ↗
48. Dual-hop relaying networks for short-packet URLLCs: Performance analysis and optimization10.23919/JCN.2022.000020 ↗
49. Best Relay Selection Schemes for NOMA Based Cognitive Relay Networks in Underlay Spectrum Sharing10.1109/ACCESS.2020.3031631 ↗
50. Al-Mistarihi, M.F., Sharaqa, A., Mohaisen, R., Abu-Alnadi, O., and Abu-Seba, H. (2012, January 21–25). Performance analysis of multiuser diversity in multiuser two-hop amplify and forward cooperative multi-relay wireless networks. Proceedings of the 2012 35th International Convention MIPRO, Opatija, Croatia.
51. Optimal power allocation for non-orthogonal multiple access enabled full-duplex underlay cognitive relay networks under partial relay selection10.1002/ett.4569 ↗
52. Optimal Power Allocation and Scheduling for Non-Orthogonal Multiple Access Relay-Assisted Networks10.1109/TMC.2018.2812722 ↗
53. Yang, Q., Zhu, L., Xie, M., Zhu, M., and Zhao, H. (2020, January 20–22). Performance Analysis in Multi-Relay DF Cognitive Relay Networks under Nakagami–m fading channels. Proceedings of the 2020 IEEE Computing, Communications and IoT Applications (ComComAp), Beijing, China.10.1109/ComComAp51192.2020.9398880 ↗
54. Performance Analysis of Full Duplex Bidirectional Machine Type Communication System Using IRS with Discrete Phase Shifter10.3390/app13127128 ↗
55. Shurman, M., Al-Mistarihi, M.F., and Alhulayil, M. (2015, January 25–29). Outage probability of dual-hop amplify-and-forward cognitive relay networks under interference power constraints over Nakagami-m fading channels. Proceedings of the 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia.10.1109/MIPRO.2015.7160326 ↗
56. Alhulayil, M., Al-Mistarihi, M.F., and Shurman, M. (2015, January 25–29). Outage probability of amplify-and-forward underlay cognitive relay networks with selection diversity over Nakagami-m fading channels. Proceedings of the 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia.10.1109/MIPRO.2015.7160327 ↗
57. Performance analysis of amplify-and-forward cognitive relay networks with interference power constraints over Nakagami-m fading channels10.1049/iet-com.2014.1182 ↗
58. Performance Analysis of Dual-Hop AF Cognitive Relay Networks with Best Selection and Interference Constraints10.3390/electronics12010124 ↗
59. Experimental confirmation of an HF channel model10.1109/TCOM.1970.1090438 ↗
60. Hoffman, W.C. (1960). Statistical Methods of Radio Wave Propagation, Pergamon.
61. A simulation model for Nakagami-m fading channels, m < 110.1109/26.823554 ↗
62. Subotic, V., and Primak, S.L. (2004, January 11–12). A new vector channel simulator for sub rayleigh fading. Proceedings of the 7th European Conference on Wireless Technology, Amsterdam, The Netherlands.
63. Gradshteyn, I., and Ryzhik, I. (2007). Tables of Integrals, Series and Products, Elsevier. [7th ed.].
64. Outage Probability of Multihop Transmission Over Nakagami Fading Channels10.1109/LCOMM.2003.812178 ↗
65. Performance analysis of hybrid relay selection in cooperative wireless systems10.1109/TCOMM.2012.011312.110015 ↗
66. Neumeier, S., Walelgne, E.A., Bajpai, V., Ott, J., and Facchi, C. (2019, January 19–21). Measuring the Feasibility of Teleoperated Driving in Mobile Networks. Proceedings of the 2019 Network Traffic Measurement and Analysis Conference (TMA), Paris, France.10.23919/TMA.2019.8784466 ↗
67. Outage performance of cognitive cooperative networks with relay selection over double-Rayleigh fading channels10.1049/iet-com.2015.0236 ↗
68. Johnson, N.L., Kotz, S., and Balakrishnan, N. (1994). Continuous Univariate Distributions, John Wiley & Sons. [2nd ed.].
69. BER analysis of equalized OFDM systems in Nakagami, m < 1 fading10.1007/s11277-006-9190-y ↗
70. Ahmad, I., and Habibi, D. (2008, January 12–14). A novel mobile WiMAX solution for higher throughput. Proceedings of the 2008 16th IEEE International Conference on Networks, New Delhi, India.10.1109/ICON.2008.4772616 ↗