Capacity and Load Balancing: Base stations thus play a substantial role in load balancing for the network by distributing user traffic across various cells. Frequency Allocation:
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The potential benefits of 5G networks, such as faster data speeds and improved user experiences, come with a critical challenge—efficiently preserving energy in base stations
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Most of the current research is based on the performance of the base station (BS) itself or the operation mode of the communication operator without considering the users''
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Flying base station, also known as aerial base station, provides the wireless connectivity to the user and utilizes its aerial mobility to improve the communication
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Flying base stations, also known as aerial base stations, provide wireless connectivity to the user and utilize their aerial mobility to improve communication performance.
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In this paper, a distributed collaborative optimization approach is proposed for power distribution and communication networks with 5G base stations. Firstly, the model of 5G
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As global mobile data traffic approaches 1,000 exabytes annually, operators face a critical question: How can scalable capacity in communication base stations evolve from bottleneck to
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This paper studies the deployment of multiple movable antennas (MAs) at the base station (BS) for enhancing the multiuser communication performance. First, we model the
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Flying base stations, also known as aerial base stations, provide wireless connectivity to the user and utilize their aerial mobility to improve communication performance.
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To improve the energy utilization in the joint sensing and communication beamforming system of a cell-free massive MIMO system, we propose a power allocation
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With the rapid development of 5G mobile communication technology, the number of 5G users has significantly increased, leading to a corresponding expansion in network
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