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Jun 21, 2022 · Through the comparison of AP clustering algorithm and adaptive AP clustering algorithm, the results show that the clustering quality and operation efficiency of adaptive AP
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The invention relates to a collaboration communication method for multiple cell base station dynamically clustering, which belongs to the field of wireless information transmission, such as
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Mar 15, 2020 · The value for N is a function of how much interference a mobile or base station can tolerate while maintaining a sufficient quality of communications. From a design viewpoint, the
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Jan 1, 2025 · Utilizing the backup energy storage potential of 5G base stations (BSs) for economic regulation is an essential strategy to provide flexibility to the power grid and reduce operational
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A cellular system, within the context of Computer Science, refers to a network of cell towers, base transceiver stations, Mobile Switching Centers, and other components that enable wireless
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Apr 21, 2025 · This paper investigates the potential of integrated sensing and communication (ISAC) for the upcoming sixth generation (6G) mobile communications system, which is
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Jan 21, 2025 · Initially developed to address the demands of low-altitude communication, Cluster DRS provides deterministic communication services for drones by ensuring reliable 5G
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A technology of base station communication and communication method, which is applied in the field of cluster base stations, can solve problems such as inability to use wiring, be limited, and
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Jan 21, 2025 · Conclusion The Cluster family of technologies, built on a foundation of base station intelligence, and enhanced by big data and advanced AI capabilities, seeks to strike an
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Jun 1, 2021 · However, the serious interference and increased power consumption of ultra-dense networking due to densely deployed base stations are also inevitable. To mitigate the
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Aug 23, 2017 · In this paper, we propose a sophisticated base station centralized simple clus-tering protocol (SBCSP). SBCSP enhances performance with using standard deviation of
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Mar 28, 2017 · The cellular concept was a major breakthrough in solving the problem of spectral congestion. It offered high system capacity with a limited spectrum allo-cation. In a modern
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The invention discloses a clustering method for an MIMO multi-cell base station cacheable system, and belongs to the technical field of wireless communication. The method comprises
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Jul 23, 2024 · On the other hand, from the perspective of the system''s base station cluster, by perceiving the communication load carried by neighbouring
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Feb 20, 2019 · Neighboring base stations are assigned different groups of channels so that the interference between base stations (and the mobile users under their control) is minimized. By
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Oct 10, 2023 · Edge service caching can effectively reduce the delay or bandwidth overhead for acquiring and initializing applications. To address single-base station (BS) transmission
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Aug 8, 2025 · To address this challenge, we propose a Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp), an automated for predicting
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Jul 22, 2024 · The model generates different objective functions for selecting cluster heads and relay nodes, considering factors such as location, energy,
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Dec 19, 2023 · Communication between the base station and the mobiles is defined by a standard common air interface (CAI) that specifies four different channels (2) voice channels, 2 control
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Aug 16, 2021 · To solve this problem, a two-step energy management method that coordinates 5G macro BSs for 5G networks with user clustering is
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Nov 20, 2015 · Multiple base stations (BSs) cooperation can effectively reduce the inter-cell interference and especially improve the performance of the cell-edge users, which has been
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Jun 21, 2022 · In order to test the application of clustering algorithm in the selection of communication base stations, this paper selects and establishes the weak coverage points
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Oct 10, 2023 · To address single-base station (BS) transmission limitation and serious edge effect in traditional cellular-based edge service caching networks, in this paper, we proposed a novel
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Apr 1, 2023 · However, ultra-dense base stations (BSs) deployment poses challenges for cell-edge users such as BS selection, severe interference, resource allocation, and inter-cell
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Jul 11, 2025 · A Cellular Network is formed of some cells. The cell covers a geographical region and has a base station analogous to 802.11 AP which
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The 3 main components of a cellular communication system are: 1. The Mobile Station (MS), which includes the mobile device and SIM card. 2. The Base
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Mar 1, 2024 · A significant number of 5G base stations (gNBs) and their backup energy storage systems (BESSs) are redundantly configured, possessing surplus capacit
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Oct 23, 2019 · In this paper, a novel clustering-based base station assignment algorithm has been proposed to support the deployment of IoT devices under cellular com-munication systems.
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Aug 20, 2021 · 5G base stations (BSs), which are the essential parts of the 5G network, are important user-side flexible resources in demand response (DR) for electric power system.
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Aug 1, 2024 · This paper proposes a double-layer clustering method for 5G base stations and an integrated centralized-decentralized control strategy for their participation in frequency
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Mar 23, 2020 · The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base
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Jan 5, 2021 · This article investigates a communication system assisted by multiple UAV-mounted base stations (BSs), aiming to minimize the number of required UAVs and to improve the
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Sep 30, 2024 · Science and Technology for Energy Transition (STET)To achieve “carbon peaking” and “carbon neutralization”, access to large-scale 5G communication base stations
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Nov 1, 2024 · The deployment of 5G base stations (BSs) is the cornerstone of the 5G industry and a critical component of communication network infrastructure. Since 2022, there has been a
Free QuoteHowever, ultra-dense base stations (BSs) deployment poses challenges for cell-edge users such as BS selection, severe interference, resource allocation, and inter-cell handover. To tackle these obstacles, this paper formulates a joint BS clustering and resource allocation problem for cell-edge users in a 6G heterogeneous UDN system.
In this context, relying on a uniform service strategy limits the network's ability to adapt and scale to these diverse needs. To overcome these challenges, China Telecom and ZTE introduced the “Cluster” concept. This approach groups base stations with similar service characteristics and requirements into clusters.
The proposed BS clustering algorithm focuses more on the increase in the sum achievable system rate based on maximizing the average achievable user rate. As such, the average achievable user rate rises for all users. Fig. 8 depicts the sum achievable system rate versus the small cell BSs' density for 100 users for the different algorithms.
Specifically, the BS clustering problem is used to determine the serving small cell BS set for any user in order to fully exploit the benefits of cooperation; the resource allocation problem is designed to mitigate resultant inter-cluster interference to maximize overall spectral efficiency.
A many-to-many stable matching between users and small cell BSs is constructed under the optimization objective of maximizing the achievable user rate. Furthermore, we analyze the effectiveness, stability, convergence, and complexity of the BS clustering algorithm.
The users can select the macro cell BS or the multiple small cell BSs to connect. The small cell BSs selected by the user constitute a small cell BS cluster, providing data transmission services via joint transmission coordinated multi-point (JP-CoMP) technology for the associated user.