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Efficient hybrid resource allocation for uplink and downlink device-to-device underlay communication in 5G and beyond wireless networks

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Abstract

The device-to-device communication (D2D) concept allows direct communication between nearby devices without a base station. At the same time, cellular resources are reused. It reduces the end-to-end delay of D2D active users significantly. Most of the traditional methods consider allocating resources by downlink or uplink alone. The present study considers a novel hybrid approach for joint downlink and uplink to allocate resources, maximizing the network throughput. Further, it minimally restricts cellular and D2D pairs’ interference and ensures smooth D2D communication. The challenge is that power control and Quality of service constraints are seriously degraded by strong intra-cell and inter-cell interference due to spectrum reusability and deployment. A hybrid structure that exploits efficient resource allocation is needed to tackle this situation. The optimization problem is formulated as a mixed-integer non-linear problem that is usually NP-hard. Such a problem is divided into two stages, namely channel assignment and power allocation. The factors considered for the objective problem of resource allocation are the transmission power of the cellular user, D2D active user, base station, connection distance, and Quality of Service constraints. The proposed novel hybrid scheme can improve network throughput and improves spectrum efficiency. The numerical results imply that the hybrid method in the proposal functions efficiently and is verified by comparing it with the present joint resource allocation methods.

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References

  1. Yu S, Ejaz W, Guan L et al (2017) Resource Allocation Schemes in D2D Communications: Overview, Classification, and Challenges. Wireless Pers Commun 96:303–322. https://doi.org/10.1007/s11277-017-4168-5

    Article  Google Scholar 

  2. Annisa Sarah, Gianfranco Nencioni, and Md. Muhidul I Khan (2023) Resource Allocation in Multi-Access Edge Computing for 5G-and-beyond Networks, Computer Networks, Volume 227, 109720, ISSN 1389–1286, https://doi.org/10.1016/j.comnet.2023.109720

  3. Ghavami H, Akbari B (2022) Secure resource allocation in device-to-device communications underlaying cellular networks. China Communications 19(8):149–167. https://doi.org/10.23919/JCC.2022.08.012

    Article  Google Scholar 

  4. Hou Gang, Chen Lizhu (2020) D2D communication mode selection and resource allocation in 5G wireless networks. Comput Commun 155:244–251. https://doi.org/10.1016/j.comcom.2020.03.025. (ISSN 0140–3664)

    Article  Google Scholar 

  5. Siddiqui MUA, Qamar F, Ahmed F, Nguyen QN, Hassan R (2021) Interference Management in 5G and Beyond Network: Requirements, Challenges, and Future Directions. IEEE Access 9:68932–68965. https://doi.org/10.1109/ACCESS.2021.3073543

    Article  Google Scholar 

  6. Talatahari S, Azizi M (2021) Chaos Game Optimization: a novel metaheuristic algorithm. Artif Intell Rev 54:917–1004. https://doi.org/10.1007/s10462-020-09867-w

    Article  Google Scholar 

  7. Shaik N, Malik PK (2021) A comprehensive survey 5G wireless communication system: open issues, research challenges, channel estimation, multi-carrier modulation, and 5G applications. Multimed Tools Appl 80:28789–28827. https://doi.org/10.1007/s11042-021-11128-z

    Article  Google Scholar 

  8. Abbasi-Verki Mansoureh, Yousefi Saleh, Kalbkhani Hashem (2022) Socially-aware and energy-efficient resource allocation and power control for D2D multicast content distribution. J Netw Comput Appl 204:103415. https://doi.org/10.1016/j.jnca.2022.103415. (ISSN 1084–8045)

    Article  Google Scholar 

  9. Sharma S, Singh B (2020) Coalition Game-Based Strategy for Resource Allocation and Transmit Power Control in D2D Communication. Natl Acad Sci Lett 43:317–319. https://doi.org/10.1007/s40009-019-00846-6

    Article  MathSciNet  Google Scholar 

  10. Rathi Roopsi, Dixit Saurav, Bansal Shweta, Kumar Kaushal, Taskaeva Natalia, Tumanov AYu, John Vinod (2022) Stackelberg game approach for resource allocation in device-to-device communication with heterogeneous networks. Robot Autonomous Syst 156:104222. https://doi.org/10.1016/j.robot.2022.104222. (ISSN 0921–8890)

    Article  Google Scholar 

  11. Yanli Xu, Liu Feng, Ping Wu (2018) Interference management for D2D communications in heterogeneous cellular networks. Pervasive Mob Comput 51:138–149. https://doi.org/10.1016/j.pmcj.2018.10.005. (ISSN 1574–1192)

    Article  Google Scholar 

  12. Hoang TD, Le LB, Le-Ngoc T (2016) Resource Allocation for D2D Communication Underlaid Cellular Networks Using Graph-Based Approach. IEEE Trans Wireless Commun 15(10):7099–7113. https://doi.org/10.1109/TWC.2016.2597283

    Article  Google Scholar 

  13. Lucas-Estañ MC, Gozalvez J (2017) Distributed radio resource allocation for device-to-device communications underlaying cellular networks. J Netw Comp Appl 99:120–130. https://doi.org/10.1016/j.jnca.2017.09.01. (ISSN 1084–8045)

    Article  Google Scholar 

  14. Murkaz A, Hussain R, Ahmed J et al (2018) An intra–inter-cell device-to-device communication scheme to enhance 5G network throughput with delay modeling. Telecommun Syst 69:461–475. https://doi.org/10.1007/s11235-018-0449-x

    Article  Google Scholar 

  15. Yi-Han Xu, Sun Qi-Ming, Zhou Wen, Gang Yu (2022) Resource allocation for UAV-aided energy harvesting-powered D2D communications: A reinforcement learning-based scheme. Ad Hoc Networks 136:102973. https://doi.org/10.1016/j.adhoc.2022.102973

    Article  Google Scholar 

  16. Jun Xu, Guo Chengcheng, Zhang Hao (2018) Joint channel allocation and power control based on PSO for cellular networks with D2D communications. Comput Netw 133:104–119. https://doi.org/10.1016/j.comnet.2018.01.017

    Article  Google Scholar 

  17. Dominic Susan, Jacob Lilly Kutty (2020) Joint resource block and power allocation through distributed learning for -efficient underlay D2D communication with rate guarantee. Comput Commun 159:26–36. https://doi.org/10.1016/j.comcom.2020.05.005. (ISSN 0140–3664)

    Article  Google Scholar 

  18. Sobhi-Givi S, Khazali A, Kalbkhani H et al (2018) Joint mode selection and resource allocation in D2D communication based underlaying cellular networks. Telecommun Syst 67:47–62. https://doi.org/10.1007/s11235-017-0320-5

    Article  Google Scholar 

  19. Mir U (2022) Joint uplink and downlink power allocation for maximizing the energy efficiency in ultra-dense networks. Int J Inf Tecnol 14:1241–1249. https://doi.org/10.1007/s41870-020-00510-z

    Article  Google Scholar 

  20. Jiang Y, Liu Q, Zheng F, Gao X, You X (2016) Energy-Efficient Joint Resource Allocation and Power Control for D2D Communications. IEEE Trans Veh Technol 65(8):6119–6127. https://doi.org/10.1109/TVT.2015.2472995

    Article  Google Scholar 

  21. Duong Quang, Shin Yoan, Shin Oh-Soon (2015) Distance-based resource allocation scheme for device-to-device communications underlaying cellular networks. AEU – Int J Electron Commun 69(10):1437–1444. https://doi.org/10.1016/j.aeue.2015.06.008. (ISSN 1434–8411)

    Article  Google Scholar 

  22. Li R, Hong P, Xue K, Zhang M, Yang T (2022) Resource Allocation for Uplink NOMA-Based D2D Communication in Energy Harvesting Scenario: A Two-Stage Game Approach. IEEE Trans Wireless Commun 21(2):976–990. https://doi.org/10.1109/TWC.2021.3100567

    Article  Google Scholar 

  23. Su N, Zhu Q (2020) Outage performance analysis and resource allocation algorithm for energy harvesting D2D communication system. Wireless Netw 26:5163–5176. https://doi.org/10.1007/s11276-020-02386-0

    Article  Google Scholar 

  24. Feng G, Qin X, Jia Z et al (2021) Energy efficiency resource allocation for D2D communication network based on relay selection. Wireless Netw 27:3689–3699. https://doi.org/10.1007/s11276-019-02240-y

    Article  Google Scholar 

  25. Lai W-K, Wang Y-C, Lin H-C, Li J-W (2020) Efficient Resource Allocation and Power Control for LTE-A D2D Communication with Pure D2D Model. IEEE Trans Veh Technol 69(3):3202–3216. https://doi.org/10.1109/TVT.2020.2964286

    Article  Google Scholar 

  26. Sindhu P, Deepak KS, Abdul Hameed KM (2019) Weighted Sum Energy Efficiency Maximization of Device-to-Device groups underlying NOMA cellular network. Physical Communication 36:100806. https://doi.org/10.1016/j.phycom.2019.100806. (ISSN 1874–4907)

    Article  Google Scholar 

  27. Sun S, Kim KY, Shin OS et al (2016) Device-to-device resource allocation in LTE-advanced networks by hybrid particle swarm optimization and genetic algorithm. Peer-to-Peer Netw Appl 9:945–954. https://doi.org/10.1007/s12083-015-0424-1

    Article  Google Scholar 

  28. Jiang F, Wang B, Sun C, Liu Y, Wang R (2016) Mode selection and resource allocation for device-to-device communications in 5G cellular networks. China Commun 13(6):32–47. https://doi.org/10.1109/CC.2016.7513201

    Article  Google Scholar 

  29. Kuang Z, Li G, Zhang L et al (2020) Energy Efficient Mode Selection, Base Station Selection, and Resource Allocation Algorithm in D2D Heterogeneous Networks. Peer-to-Peer Netw Appl 13:1814–1829. https://doi.org/10.1007/s12083-020-00915-4

    Article  Google Scholar 

  30. Godhrawala H, Sridaran R (2023) A dynamic Stackelberg game-based multi-objective approach for effective resource allocation in cloud computing. Int J Inf Tecnol 15:803–818. https://doi.org/10.1007/s41870-022-00926-9

    Article  Google Scholar 

  31. Cai X, Liu X, Qu Z (2019) Game theory-based device-to-device network access algorithm for heterogeneous networks. J Supercomput 75:2423–2435. https://doi.org/10.1007/s11227-018-2628-7

    Article  Google Scholar 

  32. Song X, Han X, Ni Y, Dong L, Qin L (2019) Joint Uplink and Downlink Resource Allocation for D2D Communications System. Future Internet 11(1):12. https://doi.org/10.3390/fi11010012

    Article  Google Scholar 

  33. Pawar P, Trivedi A (2021) Joint Uplink-Downlink Resource Allocation for D2D Underlying Cellular Network. IEEE Trans Commun 69(12):8352–8362. https://doi.org/10.1109/TCOMM.2021.3116947

    Article  Google Scholar 

  34. Mishra PK, Kumar A, Pandey S et al (2018) Hybrid Resource Allocation Scheme in Multi-hop Device-to-Device Communication for 5G Networks. Wireless Pers Commun 103:2553–2573. https://doi.org/10.1007/s11277-018-5946-4

    Article  Google Scholar 

  35. Liu Zhixin, Liu Zijian, Xie Yuan’ai, Chan Kit Yan, Yuan Yazhou, Yang Yi (2022) Power allocation in D2D enabled cellular network with probability constraints: A robust Stackelberg game approach. Ad Hoc Netw 133:102891. https://doi.org/10.1016/j.adhoc.2022.102891. (ISSN 1570–8705)

    Article  Google Scholar 

  36. Asuquo D, Ekpenyong M, Udoh S et al (2020) Optimized channel allocation in emerging mobile cellular networks. Soft Comput 24:16361–16382. https://doi.org/10.1007/s00500-020-04947-z

    Article  Google Scholar 

  37. Hussain F, Hassan MY, Hossen MS, Choudhury S (2018) System Capacity Maximization with Efficient Resource Allocation Algorithms in D2D Communication. IEEE Access 6:32409–32424. https://doi.org/10.1109/ACCESS.2018.2839190

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank the editors and reviewers, whose comments helped shape the article into its current form.

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As the principal investigator, Malle Gopal took the primary responsibility for this research and analyzed the results; Velmurugan.T. conceived of the study, participated in its design and coordination, and helped draft the manuscript. All authors read and approved the final manuscript.

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Correspondence to T. Velmurugan.

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Gopal, M., Velmurugan, T. Efficient hybrid resource allocation for uplink and downlink device-to-device underlay communication in 5G and beyond wireless networks. Peer-to-Peer Netw. Appl. (2024). https://doi.org/10.1007/s12083-024-01680-4

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