Sep 1, 2024 · 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
Sep 28, 2023 · The rapid development of wireless communication networks has driven the need for careful optimization of network parameters to achieve optimal performance. Traditional
Jun 9, 2024 · 1. Introduction Recently, with the rapid development of wireless communication technology, the enhancement of wireless network performance is concerned with meeting the
Aug 23, 2019 · With the advent of the 5G era, mobile users have higher requirements for network performance, and the expansion of network coverage has become an inevitable trend.
Jun 22, 2022 · The collaborative sensing of multiple Integrated sensing and communication (ISAC) base stations is one of the important technologies to achieve intelligent transportation.
Dec 31, 2021 · Then, it proposed a 5G energy storage charge and discharge scheduling strategy. It also established a model for 5G base station energy storage to participate in coordinated
Apr 13, 2024 · The increasing demand for wireless communication services has led to a significant growth in the number of base stations, resulting in a substantial increase in energy
May 13, 2024 · This article focuses on the optimized operation of communication base stations, especially the effective utilization of energy storage batteries. Currently, base station energy
Can traditional base station architectures keep pace with 5G''s explosive growth? As global mobile data traffic surges 35% annually, operators face mounting pressure to upgrade infrastructure.
Jun 3, 2022 · The penetration of multitude smart devices and billions of Internet of Things (IoT) devices have demanded enhanced data speed and diversified network services. The 5th
Oct 12, 2020 · In this paper, a novel framework is proposed to enable a predictive deployment of unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground
ABSTRACT Base station location selection and network optimization are critical to improving the performance of wireless communication networks in terms of latency reduction. To this end,
Jun 9, 2024 · Keywords: Wireless Communication Base Station Location Selection; Optimization; Neural Network Algorithms; Convolutional Neural Network Network ation are critical to
Aug 26, 2024 · 针对多无人机 (UAV)分布式感知开展研究,为协调各UAV行为,该文设计了任务感知-数据回传协议,并建立了UAV任务分配、数据回传基站关联与飞行策略联合优化混合整数
Jun 1, 2025 · Aerial–terrestrial networks have emerged as a new communication paradigm for sixth generation (6G) communications to improve the coverage and capacity of the existing
Dec 30, 2024 · Optimising the energy supply of communication base stations and integrate communication operators into system optimisation. Proposing a strategy for siting and sizing
May 16, 2024 · Base stations and cell towers are critical components of cellular communication systems, serving as the infrastructure that supports seamless
Feb 6, 2025 · The main research content of this paper is to study the information about the existing network BSs and weak signal coverage points in a certain area, idealize the BS
Mar 31, 2024 · With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent
Looking ahead, the next innovation wave might emerge from unexpected intersections. What if blockchain-secured edge computing nodes became self-aware network healers? One thing''s
In this paper, the economic model of the backup nanoenergy storage system of the communication base station is firstly built with considering the over-discharge penalty. After
Dec 30, 2024 · Abstract—Traditional base station siting (BSS) methods rely heavily on drive testing and user feedback, which are laborious and require extensive expertise in
Feb 28, 2025 · Abstract. This article addresses the deployment of 5G networks in intelligent manufacturing factories, focus-ing on issues such as high energy consumption, signal
Jun 12, 2024 · This research delves into an integrated sensing and communication (ISAC) system, which leverages a ship-based station to simultaneously offer maritime communication
Nov 2, 2024 · Movable antenna (MA) is an innovative technology that facilitates the repositioning of antennas within the transmitter/receiver area to enhance channel conditions and
Sep 1, 2024 · 5G base stations have experienced rapid growth, making their demand response capability non-negligible. However, the collaborative optimization of the distribution network
Heuristic Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been proposed as useful approaches for difficult global
Dec 13, 2024 · Integrated access and backhaul (IAB) networks are a technology proposed in recent 3rd generation partnership project releases for 5th generation (5G)-new radio
Oct 6, 2023 · Driven by the intelligent applications of sixthgeneration (6G) mobile communication systems such as smart city and autonomous driving, which connect the physical and cyber
Mar 22, 2025 · Utilizing unmanned aerial vehicle (UAV) to carry 5G base stations to build emergency communication networks can flexibly provide stable and reliable wireless access in
Mar 17, 2025 · The main research content of this paper is to study the information about the existing network BSs and weak signal coverage points in a certain area, idealize the BS
Sep 30, 2024 · To achieve "carbon peaking" and "carbon neutralization", access to large-scale 5G communication base stations brings new challenges to the optimal operation of new power
Aug 23, 2019 · Energy-Efficient Base Station Deployment in Heterogeneous Communication Network Published in: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing,
Jun 19, 2014 · The continuously growing number of applications competing for resources in current communication networks highlights the necessity for efficient resource allocation
Mar 6, 2025 · Traditional base station siting (BSS) methods rely heavily on drive testing and user feedback, which are laborious and require extensive expertise in communication, networking,
Nov 15, 2024 · 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
May 28, 2023 · With the sharp development of mobile communication technology, the coverage area of existing base stations cannot meet the increasing demand of users, so it is significant
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 base stations considering communication load demand migration and energy storage dynamic backup is established.
Afterward, a collaborative optimal operation model of power distribution and communication networks is designed to fully explore the operation flexibility of 5G base stations, and then an improved distributed algorithm based on the ADMM is developed to achieve the collaborative optimization equilibrium.
This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and Active Distribution Network (ADN) and constructs a description model for the operational flexibility of 5G communication base stations.
The fundamental parameters of the base stations are listed in Table 1. The energy storage battery for each base station has a rated capacity of 18 kWh, a maximum charge/discharge power of 3 kW, a SOC range from 10% to 90%, and an efficiency of 0.85.
Under the current technological level and market conditions, due to the natural contradiction between the above-mentioned economy and the realization of carbon emission reduction objectives, the optimal ADN operation of 5G communication base stations can be summarized as a typical multi-objective optimization problem.
As shown in Fig. 10, as the iteration proceeds, the optimal cost of the proposed algorithm gradually approaches the centralized optimal cost, which verifies the effectiveness of the algorithm, that is, the overall optimal system operation status is obtained under the proposed distributed algorithm. Fig. 10. Convergence of optimal total cost. 5.3.
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