{"title":"A Novel Fusion Approach Bandwidth Allocation for OFDMA Systems: Application to New Generation Mobile Networks","authors":"M. O. Kabaou, N. Zoghlami, Jaouda Sghaier","doi":"10.1109/IC_ASET53395.2022.9765925","DOIUrl":null,"url":null,"abstract":"In this paper we deals with radio resource allocation in New Generation Radio Mobile Networks (NGN) based on OFDMA (Orthogonal Frequency Division Multiple Access). The OFDMA technic is considered as a one of the most promising techniques in telecommunication systems that requiring a high quality of service (QoS) and a high network coverage. This will be serve to increase the degree of satisfaction of the network users and consequently to guarantee a better Quality of Experience (QoE). For these reasons, it is important to know how to manage radio resources (subcarriers and power) for each user to communicate with the network. Several radio resource management techniques exist. We cite a power and frequency management algorithms (BABS, MBABS, HBABS, ACG, RCG). The main objective of radio resource allocation algorithm is to maximize total cell and increase the satisfaction degree of users network. Our present research work is focused on the radio resource management approach based on a new fusion method. The main objetive of this approach is to propose a new algorithm that allows improve the quality of service in the network by optimizing a radio resources. Indeed, the maximization of the total flow of the cell is the main objective of our contribution. This new proposal algorithm, consist to maximize a total rate of cell with considering individual user throughput. The obtained simulation results of proposed algorithm, proves best performances in comparison with other algorithm such as MBABS (Modified Bandwidth Allocation Based on SNR) with the same degree of complexity.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"10 1","pages":"398-402"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET53395.2022.9765925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper we deals with radio resource allocation in New Generation Radio Mobile Networks (NGN) based on OFDMA (Orthogonal Frequency Division Multiple Access). The OFDMA technic is considered as a one of the most promising techniques in telecommunication systems that requiring a high quality of service (QoS) and a high network coverage. This will be serve to increase the degree of satisfaction of the network users and consequently to guarantee a better Quality of Experience (QoE). For these reasons, it is important to know how to manage radio resources (subcarriers and power) for each user to communicate with the network. Several radio resource management techniques exist. We cite a power and frequency management algorithms (BABS, MBABS, HBABS, ACG, RCG). The main objective of radio resource allocation algorithm is to maximize total cell and increase the satisfaction degree of users network. Our present research work is focused on the radio resource management approach based on a new fusion method. The main objetive of this approach is to propose a new algorithm that allows improve the quality of service in the network by optimizing a radio resources. Indeed, the maximization of the total flow of the cell is the main objective of our contribution. This new proposal algorithm, consist to maximize a total rate of cell with considering individual user throughput. The obtained simulation results of proposed algorithm, proves best performances in comparison with other algorithm such as MBABS (Modified Bandwidth Allocation Based on SNR) with the same degree of complexity.