%0 Journal Article
	%A Farshad Zeinali and  Sajedeh Norouzi and  Nader Mokari and  Eduard A. Jorswieck
	%D 2023
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 201, 2023
	%T AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U networks
	%U https://publications.waset.org/pdf/10013255
	%V 201
	%X 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.
	%P 217 - 224