Results 1 to 10 of about 7,611,580 (295)

MULTI-BASE STATIONS BLUETOOTH LOCATION METHOD BASED ON FULL CONVOLUTIONAL NEURAL NETWORK [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Bluetooth positioning system has attracted much attention in the field of indoor navigation due to its high precision, low power consumption and small size. In order to solve the problem that geometric analysis cannot accurately solve the tag position, a
X. Cai, Q. Gong, Z. Li, Z. Wen
doaj   +3 more sources

Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning [PDF]

Sensors
This paper presents a new beamforming algorithm for Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems using Multi-Agent Reinforcement Learning (MARL).
Ali Al Janaby, Hussain Al-Rizzo, Yahya Qassim   +2 more
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Location and capacity optimization of urban sanitation robot base stations using improved NSGA-II [PDF]

Scientific Reports
Traditional sanitation systems are increasingly challenged by contemporary waste collection demands, owing to limited service capacity, high operational costs, and uneven resource distribution.
Jie Ding, Linshen Wang, Kun Pan, Nan Ji, Na Cui   +4 more
doaj   +2 more sources

Enhanced RSS-Based UAV Localization Via Trajectory and Multi-Base Stations [PDF]

IEEE Communications Letters, 2021
To improve the localization precision of unmanned aerial vehicle (UAV), a novel framework is established by jointly utilizing multiple measurements of received signal strength (RSS) from multiple base stations (BSs) and multiple points on trajectory.
Yifan Li, Feng Shu 0002, Baihua Shi, Xin Cheng 0006, Yaoliang Song, Jiangzhou Wang   +5 more
openaire   +2 more sources

Energy Cooperation Among Sustainable Base Stations in Multi-Operator Cellular Networks

IEEE Access, 2023
Energy Harvesting technology contributes significantly to green cellular networking by ensuring self-sustainability and extinguishing environmental hazards.
Anika Tahsin, Palash Roy, Md. Abdur Razzaque, Md. Mamun-Or-Rashid, Mohammad Siraj, Salman A. AlQahtani, Md. Rafiul Hassan, Mohammad Mehedi Hassan   +7 more
doaj   +1 more source

Multi-Base Station Cooperative Sensing with AI-Aided Tracking

CoRR, 2023
In this work, we investigate the performance of a joint sensing and communication (JSC) network consisting of multiple base stations (BSs) that cooperate through a fusion center (FC) to exchange information about the sensed environment while concurrently establishing communication links with a set of user equipments (UEs).
Elia Favarelli, Elisabetta Matricardi, Lorenzo Pucci, Enrico Paolini, Wen Xu 0001, Andrea Giorgetti   +5 more
openaire   +3 more sources

Dynamic deployment of multi‐UAV base stations with deep reinforcement learning

Electronics Letters, 2021
Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations (BSs) to provide auxiliary communication services. In this letter, we propose a deep reinforcement learning (DRL)‐based dynamic deployment method for multi‐UAV communications.
Guanhan Wu, Weimin Jia, Jianwei Zhao
doaj   +1 more source

Cooperative Slotted Aloha for Multi-Base Station Systems [PDF]

IEEE Transactions on Communications, 2015
We introduce a framework to study slotted Aloha with cooperative base stations. Assuming a geographic-proximity communication model, we propose several decoding algorithmswith different degrees of base stations' cooperation (non-cooperative, spatial, temporal, and spatio-temporal).
Jakovetić, Dušan, Bajović, Dragana, Vukobratović, Dejan, Crnojević, Vladimir   +3 more
openaire   +2 more sources

Research on Throughput of UAV-Assisted Multi-Tier Millimeter-Wave Heterogeneous Networks [PDF]

Jisuanji gongcheng, 2021
The hotspot scenarios of the Fifth-Generation(5G)/Beyond 5G(B5G) networks frequently encounter surges in data traffic and the problem of spatial coupling between the base stations and the User Equipment(UE).To address the problems,an Unmanned Aerial ...
LU Yi, JIA Xiangdong, JI Pengshan, Lü Yaping
doaj   +1 more source

GenAD: General unsupervised anomaly detection using multivariate time series for large‐scale wireless base stations

Electronics Letters, 2023
The reliability of wireless base stations is essential to guarantee the user experiences in wireless networks, thereby employing the anomaly detection on multivariate time series is indispensable for network operators to monitor the behaviours of large ...
Xiaolei Hua, Lin Zhu, Shenglin Zhang, Zeyan Li, Su Wang, Chao Deng, Junlan Feng, Zhao Zhang, Wei Wu   +8 more
doaj   +1 more source