AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U networks

Authors: Farshad Zeinali, Sajedeh Norouzi, Nader Mokari, Eduard A. Jorswieck

Abstract:

The capacity of fifth-generation (5G)vehicle-to-everything (V2X) networks poses significant challenges.To address this challenge, this paper utilizes New Radio (NR) and New Radio Unlicensed (NR-U) networks to develop a vehicular heterogeneous network (HetNet). We propose a framework, named joint BS assignment and resource allocation (JBSRA) for mobile V2X users and also consider coexistence schemes based on flexible duty cycle (DC) mechanism for unlicensed bands. Our objective is to maximize the average throughput of vehicles, while guarantying the WiFi users throughput. In simulations based on deep reinforcement learning (DRL) algorithms such as deep deterministic policy gradient (DDPG) and deep Q network (DQN), our proposed framework outperforms existing solutions that rely on fixed DC or schemes without consideration of unlicensed bands.

Keywords: Vehicle-to-everything, resource allocation, BS assignment, new radio, new radio unlicensed, coexistence NR-U and WiFi, deep deterministic policy gradient, Deep Q-network, Duty cycle mechanism.

References:

[1] K. S. Kwak, S. Kim, and K. B. Lee, “Coexistence performance of LBT based NR-U with Wi-Fi,” in proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul , Turkey, September, 2019, pp.1–6.
[2] J. Zhu, Y. Liu, and Y. Jiang, “A novel carrier sensing adaptive proceedings of IEEE/CIC International Conference on Communications in China (ICCC), Changchun , China, 11-13 August, 2019, pp.1–6.
[3] M. Alzenad, S. Ben Jemaa, and S. Alouini, “An overview of coexistence mechanisms for Wi-Fi and NR-U,” IEEE Communications Magazine, vol. 57, no. 4, pp. 108–114, 2019.
[4] M. Omer, A. Rachedi, and T. Taleb, “Coexistence of Wi-Fi and NR-U: A Survey,” IEEE Communications Surveys and Tutorials, vol. 22, no. 2, pp. 1036–1070, 2020.
[5] E. Moein, S. K. Taskou, and M. Rasti, “Base Station Assignment Two-tier Dual Connectivity Heterogeneous Networks,” in proceedings of International Symposium on Telecommunications (IST), 2018, pp. 474–480.
[6] A. M. El-Hajj and Z. Dawy, “On optimized joint uplink/downlink resource allocation in ofdma networks,” in proceedings of IEEE Symposium on Computers and Communications (ISCC), 2011, pp. 248–253.
[7] M. Kim, S. Y. Jung, and S.-L. Kim, “Sum-rate maximizing cell association via dual-connectivity,” in proceedings of International Conference on Computer, Information and Telecommunication Systems (CITS), 2015, pp. 1–5.
[8] Q. Ye, B. Rong, Y. Chen, M. Al-Shalash, C. Caramanis, and J. G. Andrews, “User association for load balancing in heterogeneous cellular networks,” IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2706–2716, 2013.
[9] B. Yin, H. Hu, B. Xi, Q. Liu, Y. Zheng, and Z. Zhang, “Joint Radio Resources Allocation in the Coexisting NR-U and Wi-Fi Networks,” in proceedings of Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), virtual, September, 2021, pp.1532-1538.
[10] L. Wang, M. Zeng, J. Guo, Q. Cui, and Z. Fei, “Joint bandwidth and transmission opportunity allocation for the coexistence between nr-u and wifi systems in the unlicensed band,” IEEE Transactions on Vehicular Technology, pp. 1–1, 2021.
[11] S. Lagen, L. Giupponi, and N. Patriciello, “LBT switching procedures for new radio-based access to unlicensed spectrum,” in proceedings of IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, December, 2018, pp.1–6., pp. 1–6.
[12] Su, Yuhan and Du, Xiaojiang and Huang, Lianfen and Gao, Zhibin and Guizani, Mohsen, “LTE-U and Wi-Fi Coexistence Algorithm Based on Q-Learning in Multi-Channel,” IEEE Access, vol. 6, pp. 13 644–13 652, 2018.
[13] Naik, Gaurang and Jerry Park, Jung-Min, “Impact of Wi-Fi Transmissions on C-V2X Performance,” in proceedings of IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2019.
[14] Y. Liu, Y. Jiang, and K. Yang, “Joint cellular-U and WiFi coexistence algorithm based on Q-learning,” in proceedings of IEEE Vehicular Technology Conference (VTC-Fall), 2017, pp. 1–5.
[15] E. Rastogi, M. K. Maheshwari, A. Roy, N. Saxena, and D. R. Shin, “Machine Learning-Based DRX Mechanism in NR-Unlicensed,” IEEE Wireless Communications Letters, vol. 11, no. 5, pp. 1052–1056, 2022.
[16] M. Haghshenas and M. Magarini, “NR-U and Wi-Fi coexistence enhancement exploiting multiple bandwidth parts assignment,” in proceedings of IEEE Annual Consumer Communications Networking Conference (CCNC), Las Vegas, NV, USA, January, 2022, pp.1532-1538.
[17] M. Zajac and S. Szott, “Resolving 5G NR-U contention for gap-based channel access in shared sub-7 GHz bands,” IEEE Access, vol. 10, pp. 4031–4047, 2022.
[18] P. Wang, B. Di, H. Zhang, K. Bian, and L. Song, “Cellular V2X communications in unlicensed spectrum: Harmonious coexistence with vanet in 5G systems,” IEEE Transactions on Wireless Communications, vol. 17, no. 8, pp. 5212–5224, 2018.
[19] 3rd Generation Partnership Project (3GPP), “NR; Physical Channels and Modulation (Release 16),” Technical Specification 38.211, 2020. (Online). Available: https://www.3gpp.org/ftp//Specs/archive/38series/38.211/
[20] P. Gawłowicz, A. Zubow, and A. Wolisz, “LtFi: Cross-technology Communication for RRM between LTE-U and IEEE 802.11,” arXiv preprint arXiv:1707.06912, 2017.
[21] Y. Su, X. Lu, L. Huang, X. Du, and M. Guizani, “TAC-U: A traffic balancing scheme over licensed and unlicensed bands for tactile internet", Future Generation Computer Systems, vol. 97, pp. 41–49, 2019.
[22] E. Khorov, A. Kiryanov, A. Lyakhov, and G. Bianchi, “A tutorial on ieee 802.11ax high efficiency wlans,” IEEE Communications Surveys Tutorials, vol. 21, no. 1, pp. 197–216, 2019.
[23] Gharehgoli, Amir and Nouruzi, Ali and Mokari, Nader and Azmi, Paeiz and Javan, Mohammad Reza and Jorswieck, Eduard A., I-Based Resource Allocation in End-to-End Network Slicing under demand and CSI Uncertainties,” IEEE Transactions on Network and Service Management, pp.1–1, 2023.
[24] Parvini, Mohammad and Javan, Mohammad Reza and Mokari, Nader and Abbasi, Bijan and Jorswieck, Eduard A, “AoI-aware resource allocation for platoon-based C-V2X networks via multi-agent multi-task reinforcement learning,” IEEE Transactions on Vehicular Technology, 2023.
[25] Y. Su, M. LiWang, Z. Gao, L. Huang, S. Liu, and X. Du, “Coexistence of Cellular V2X and Wi-Fi over Unlicensed Spectrum with Reinforcement Learning,” in proceedings of IEEE International Conference on Communications (ICC), 2020, pp. 1–6.