机构地区:[1]Faculty of Electrical Engineering,Laboratory for Telecommunications,University of Ljubljana,Kongresni trg 12,Ljubljana,1000,Slovenia [2]Faculty of Electrical and Computer Engineering,Telecommunications Department,University of Prishtina,Str.“George Bush”,No.31,Prishtina,10000,Kosova
出 处:《Computer Modeling in Engineering & Sciences》2025年第3期2211-2245,共35页工程与科学中的计算机建模(英文)
基 金:supported by the Slovenian Research and Innovation Agency(ARIS)within the Research Program P2-0425:“Decentralized Solutions for the Digitalization of Industry and Smart Cities and Communities”;supported by the Ministry of Education,Science,Technology and Innovation of Republic of Kosovo through the annual small grant projects.
摘 要:Resource allocation remains a challenging issue in communication networks,and its complexity is continuously increasing with the densification of the networks.With the evolution of new wireless technologies such as Fifth Generation(5G)and Sixth Generation(6G)mobile networks,the service level requirements have become stricter and more heterogeneous depending on the use case.In this paper,we review a large body of literature on various resource allocation schemes that are used in particular in mobile wireless communication networks and compare the proposed schemes in terms of performance indicators as well as techniques used.Our review shows that among the strategies proposed in the literature,there is a wide variety of optimization targets and combinations thereof,focusing mainly on performance indicators such as energy efficiency,spectral efficiency,and network capacity.In addition,in this paper,selected algorithms for resource allocation are numerically analyzed through simulations to compare and highlight the importance of how the resource algorithms are implemented to achieve efficient usage of the available spectrum.The performance of selected algorithms is evaluated in a multi-cell heterogeneous network and compared to proportional fair and eICIC,a widely-used combination of resource allocation and interferencemitigation techniques used by communication networks.The results show that one approach may performbetter when looking at the individual average user data rate but worse when looking at the overall spectral or energy efficiency,depending on the category of traffic.The results,therefore,confirm that theremay not be a single algorithmthat visibly outperforms other candidates in terms of all performance criteria.Instead,their efficiency is always a consequence of a strategic choice of goals,and the targeted parameters are optimized at a price.Thus,the development and implementation of resource allocation algorithms must follow concrete usage scenarios and network needs and be highly dependent on the requi
关 键 词:Resource allocation wireless communication heterogeneous networks resource allocation algorithms
分 类 号:TN929.5[电子电信—通信与信息系统]
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