Showing 1,861 - 1,880 results of 3,139 for search '"wireless"', query time: 0.09s Refine Results
  1. 1861

    Capacity Enhancement in 60 GHz Based D2D Networks by Relay Selection and Scheduling by Waheed ur Rehman, Tabinda Salam, Jin Xu, Xiaofeng Tao

    Published 2015-01-01
    “…Two types of transmission scenarios are considered in wireless personal area networks (WPANs), intra and intergroup. …”
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    Article
  2. 1862
  3. 1863

    Application of WiMAX technology in difficult geographical conditions: Perspectives for mountain environment by Rustamova D. F., Suleymanov N. M., Gafarov G. A., Bakhshaliyeva S. V., Marasulov M., Rizaeva Sh.

    Published 2025-01-01
    “…WiMAX allows you to access the wireless Internet at high speed with a wider coverage than Wi-Fi networks. …”
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    Article
  4. 1864
  5. 1865
  6. 1866

    Percolation analysis for constructing a robust modular topology based on a binary-dynamics model by Shinya Toyonaga, Daichi Kominami, Masayuki Murata

    Published 2017-04-01
    “…In the context of Internet of Things, virtualization of wireless sensor networks is a crucial technology for sharing sensors as infrastructure. …”
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    Article
  7. 1867

    Distributed Compressed Video Sensing in Camera Sensor Networks by Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho

    Published 2012-12-01
    “…Simulation results evaluated on two video sequences illustrate that the SI-BP-based DCVS scheme is error resilient when the measurements are transmitted through the noisy wireless channels.…”
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    Article
  8. 1868
  9. 1869
  10. 1870

    A Scalable MAC Protocol Supporting Simple Multimedia Traffic QoS in WSNs by JeongSeok On, HahnEarl Jeon, Jaiyong Lee

    Published 2011-08-01
    “…Wireless sensor networks (WSNs) are a vibrant research field for the last several years. …”
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    Article
  11. 1871

    Antenna Analytical Representation by a Two-Port Network by Peter L. Tokarsky

    Published 2020-01-01
    “…System analysis is a powerful tool for researching modern wireless systems. This includes breaking such systems into parts that make them up and studying how these parts work together. …”
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    Article
  12. 1872

    Research on multi-domain collaboration based method of TDD large-scale networking by Xiaoyun WANG, Wei DENG, Long ZHANG, Qi SUN

    Published 2023-04-01
    “…How to maximize the network service capability under the constraints of massive nodes and multi-domainresources is the core problem faced by TDD large-scale networking.The method of TDD large-scale networking under fully collaborative optimization architecture were innovatively proposed, which could maximize network service capabilities through inter layer and intra layer collaboration among wireless connection layer, signal processing layer and service control layer.Aiming at efficient use of wireless resources, the method of multi-domain conversion in wireless connection layer were put forward, including the principles and mechanism of space-time-frequency-code multi-domain conversion.The results of practical verification in 4G/5G existing network show that the proposed architecture and method of TDD large-scale networking can effectively control the interference while improving utilization of multi-domain resourcesto maximize network capacity.…”
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    Article
  13. 1873

    Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks by Ajay. P, Nagaraj. B, Ruihang Huang

    Published 2022-01-01
    “…In-depth learning enhances test-based performance that helps design, develop, and adapt wireless communication networks.…”
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    Article
  14. 1874

    Multi-agent heterogeneous network selection method based on 5G UAV communication by Yu DING, Chenkai LI, Huimei HAN, Weidang LU, Yuanhong REN, Yuan GAO, Jiang CAO

    Published 2022-08-01
    “…The combination of 5G UAV communication and different wireless access technologies makes wireless heterogeneous networks present a diversified development trend.However, various types of service requests by users have different requirements on the heterogeneous networks, which leads to the problem of network selection.A multi-agent heterogeneous network selection method based on 5G UAV communication was proposed.Specifically, the users were divided into multiple agents.From the two aspects of the user side and the network side, the delay and transmission rate requirements of the user side and the load balancing requirement of the network side were comprehensively considered as the relevant parameters of immediate reward.The simulation results show that the proposed heterogeneous network selection method can select the appropriate network according to the needs of users of different service types, balance the load of the network, and make full use of the resources of the heterogeneous wireless network.…”
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    Article
  15. 1875

    Efficient Sensor Localization Method with Classifying Environmental Sensor Data by Ae-cheoun Eun, Young-guk Ha

    Published 2012-12-01
    “…In this study, we used a wireless sensor node to collect data on various environmental parameters—temperature, humidity, sound, and light. …”
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    Article
  16. 1876
  17. 1877

    Reconfigurable Intelligent Surfaces Between the Reality and Imagination by Asst. Prof. Haider ALRikabi, Adheed Sallomi, Hasan Khazaal, Ahmed Magdy, Iryna Svyd, IVAN OBOD

    Published 2024-06-01
    “… One interesting idea that could improve wireless communication systems is reconfigurable intelligent surfaces or RIS. …”
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    Article
  18. 1878

    A Gateway Deployment Heuristic for Enhancing the Availability of Sensor Grids by Majid Hussain, Ki-Hyung Kim, Ali Hammad Akbar, Shehzad Khalid, Seung-Jin Bang, Mohsin Javed, Madiha Amjad

    Published 2016-07-01
    “…Wireless sensor grids form a special class of sensor networks that find more applicability than their randomly deployed counterparts in many commercial applications due to innate regularity in their design and operation. …”
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    Article
  19. 1879
  20. 1880

    1D-Concatenate based channel estimation DNN model optimization method by Min LU, Zehao QIN, Zhihui CHEN, Min ZHANG, Guangxue YUE

    Published 2023-04-01
    “…In order to improve the channel estimation accuracy of DNN model in wireless communication, a DNN model optimization method based on 1D-Concatenate was proposed.In this method, Concatenate performs one-dimensional data transformation, the DNN model was introduced by hopping connection, the gradient disappearance problem was suppressed, and 1D-Concatenate was used to restore the data features lost during network training to improve the accuracy of DNN channel estimation.In order to verify the effectiveness of the optimization method, a typical DNN-based wireless communication channel estimation model was selected for comparative simulation experiments.Experimental results show that the estimated gain of the existing DNN model can be increased by 77.10% by the proposed optimization method, and the channel gain can be increased by up to 3 dB under high signal-to-noise ratio.This optimization method can effectively improve the channel estimation accuracy of DNN model in wireless communication, especially the improvement effect is significant under high signal-to-noise ratio.…”
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    Article