Affiliations: [a] Department of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran | [b] Integrated Network Management Group, Iran Télécommunication Research Center, Tehran, Iran
Correspondence:
[*]
Corresponding author: Abbas Mirzaei, Department of Information, Communications and Security Technology, Malek Ashtar University of Technology, Tehran, Iran. E-mail: mirzaei.iaut@gmail.com.
Abstract: This research focuses on resource assignment in cooperative energy heterogeneous systems with non-orthogonal multiple access in which cells are powered via a common grid network and alternative energy resources and all base stations have the ability to cover a group of subscribers simultaneously at a specific frequency band. In order to consider the local limitations of alternative energy resources, it was assumed that the alternative energy would be shared among the base stations by the dynamic grid network. In this architecture, resource allocation and user association frameworks should be reconfigured because conventional schemes use orthogonal multiple access. Hence, this paper suggests a novel approach joint optimal power allocation and user association techniques to achieve the maximum degree of energy efficiency for the whole system in which the quality of experience parameters are assumed to be bounded during multi-cell multicast sessions. The solution to the introduced problem in a scenario with fixed transmission power is an improved decentralized algorithm that supplies effective user association framework. The model has been modified to develop joint multi-layered resource control and user association that can distinguish the service pattern in cooperative energy heterogeneous systems with non-orthogonal multiple access to obtain more resource optimality than current approaches. The effectiveness of the suggested approach has been confirmed by the numerical results. Also, the results reveal that non-orthogonal multiple access can provide greater energy efficiency than orthogonal multiple access in heterogeneous wireless networks.
Keywords: Energy efficiency, green heterogeneous networks, QoS-aware optimization non-orthogonal multiple access, resource management, user association
