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Published in 2018 at "Telecommunication Systems"
DOI: 10.1007/s11235-017-0342-z
Abstract: The increasing number of subscribers’ demand has led to the evolution of future wireless networks that support multimedia applications and require ensuring the quality of services it provides. As the radio resource is becoming scarce,…
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Keywords:
resource management;
resource;
multi objective;
objective optimization ... See more keywords
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Published in 2017 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-017-1223-0
Abstract: The demand for pervasive wireless access and high data rate services are expected to grow significantly in the near future. In this context, the deployment of Heterogeneous Networks (HetNets) will enable important capabilities, such as…
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Keywords:
network;
radio;
based network;
network radio ... See more keywords
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Published in 2022 at "Wireless Networks"
DOI: 10.1007/s11276-021-02836-3
Abstract: A base station (BS) of the fifth generation (5G) cellular system can operate in high frequency band to obtain more bandwidth. The beamforming technology is a promising technique to relieve issues when operating in high…
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Keywords:
hybrid beamforming;
downlink radio;
radio resource;
resource scheduling ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3002252
Abstract: Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks (HetNets) has emerged as a critical area due to the increased density of small-cell networks and radio access technologies. Recent research has mostly concentrated on…
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Keywords:
survey;
resource management;
radio resource;
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169496
Abstract: With the rapid growth of traffic demand for vehicular data transmissions, the limited cellular band becomes a constraint to meet the needs of all cellular-vehicle-to-everything (C-V2X) users. In this paper, we investigate an efficient clustering-based…
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Keywords:
resource management;
vehicular networks;
radio resource;
vehicle ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3174579
Abstract: Over the years, several research groups have been developing effective and efficient scheduling algorithms to enhance the quality of service of mobile communication networks. The arrival of the fifth generation of mobile networks (5G) has…
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Keywords:
networks beyond;
scheduling algorithms;
radio resource;
beyond classification ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3196657
Abstract: In this survey, a comprehensive study is provided, regarding the use of machine learning (ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) wireless cellular networks. The ever-increasing user requirements, their diverse nature…
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Keywords:
resource management;
survey;
resource;
radio resource ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3268543
Abstract: Ultra-dense heterogeneous networks (UDHN) based on small cells are a requisite part of the future cellular networks as they are proposed as one of the enabling technologies to handle coverage and capacity problems. But co-tier…
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Keywords:
resource management;
cooperative learning;
radio resource;
capacity ... See more keywords
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1
Published in 2018 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2017.2647970
Abstract: It is expected that the emerging 5G networks will not only support diverse use cases, but also enable unprecedented applications such as haptic communications. Therefore, network slicing will provide the required design flexibility. Radio resource…
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Keywords:
tex math;
resource;
inline formula;
radio resource ... See more keywords
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2
Published in 2023 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3210324
Abstract: In this article, the problem of radio resource management is addressed by adjusting the tradeoff between two key quality of experience (QoE) influencing factors, namely transmission rate, and service price. To this end, a piecewise…
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Keywords:
resource management;
approach;
revenue;
radio resource ... See more keywords
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Published in 2020 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.2996605
Abstract: The rich mobile data and edge computing enabled wireless networks motivate to deploy artificial intelligence (AI) at network edge, known as edge AI, which integrates wireless communication and machine learning. In communication, data bits are…
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Keywords:
machine learning;
machine;
data importance;
radio resource ... See more keywords