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Showing 21 - 40 results of 41 for search 'Spectral allocation technique', query time: 0.10s Refine Results
  1. 21

    Performance Analysis of a Full-Duplex MIMO Decode-and-Forward Relay System With Self-Energy Recycling by Mohd Hamza Naim Shaikh, Vivek Ashok Bohara, Anand Srivastava

    Published 2020-01-01
    “…Specifically, this work proposes an antenna allocation scheme for S-ER as well as analytically evaluates the performance of this proposed scheme in terms of spectral efficiency (SE), energy efficiency (EE), outage and symbol error rate (SER). …”
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  2. 22

    Full-duplex device-to-device communications:key technologies and prospects by Jiaxin DING, Daquan FENG, Gongbin QIAN, Nan ZHANG

    Published 2018-05-01
    “…Due to the physical proximity,D2D communications can bring proximity gain,reusing gain and hop gain,and thus can potentially increase system spectral-efficiency and energy-efficiency.Full-duplex D2D communications,which enable the transceiver to simultaneously transmit and receive in the same band,can further improve the system performance.Therefore,full-duplex D2D communications has being considered as one of the key techniques in the next generation cellular networks.The features of full-duplex D2D communications and the significance in 5G systems were briefly introduced as well as its applications.Then,the state-of-art research on full-duplex D2D resource allocation was presented and discussed.Finally,some research topics that deserve further study was outlined and concluded.…”
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  6. 26

    Energy Efficient Design for Two-Way AF Relay Networks by Yong Li, Zhengguang Zheng, Mingyue Zhao, Yunli Chen, Chuanyong Liu

    Published 2014-01-01
    “…We propose an optimal energy-efficient power allocation algorithm based on iterative search technique. …”
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    Article
  7. 27

    Throughput Maximization for Multi-Slot Data Transmission via Two-Hop DF SWIPT-Based UAV Systems by Arefe Mehrabi, Mohammad javad Emadi

    Published 2022-06-01
    “…Finally, numerical results are presented to analyze the spectral and energy efficiency of the proposed system, and effects of optimal power allocations and power splitting ratio.  …”
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    Article
  8. 28

    Resource management for multi-drone communications in next-generation NOMA-enabled wireless networks by Sajed Ahmad, Syed Zain Ul Abideen, Mian Muhammad Kamal, M. A. Al-Khasawneh, Ghassan F. Issa, Najib Ullah, Osama Alfarraj, Amr Tolba, Muhammad Sheraz, Teong Chee Chuah

    Published 2025-07-01
    “…The framework focuses on optimizing ground user-to-UAD associations and drone power allocation to maximize spectral efficiency. The primary optimization problem is a mixed-integer, nonconvex, and nonlinear task, which seeks to maximize the sum-rate while addressing issues of UAD-user association and power distribution, complicated by interference and binary decision variables. …”
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    Article
  9. 29

    Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization by Iqra Hameed, Mario R. Camana, Mohammad Abrar Shakil Sejan, Hyoung Kyu Song

    Published 2025-03-01
    “…However, their performance is often limited by interference in uplink communication and inefficient resource allocation. To address these challenges, we propose an RSMA-aided WPCN framework, which optimizes rate-splitting factors, power allocation, and time division to enhance spectral efficiency and user fairness. …”
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    Article
  10. 30

    Scaling Laws for Emulation of Stellar Spectra by Tomasz Różański, Yuan-Sen Ting

    Published 2025-06-01
    “…In this study, we demonstrate that these scaling laws also apply to Transformer-based spectral emulators in astronomy. Building upon our previous work with TransformerPayne and incorporating Maximum Update Parametrization techniques from natural language models, we provide training guidelines for scaling models to achieve optimal performance. …”
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    Article
  11. 31

    6G virtualized beamforming: a novel framework for optimizing massive MIMO in 6G networks by Ahmed M. Alwakeel

    Published 2025-04-01
    “…Simulation results show a 22% reduction in power consumption and a 19% increase in spectral efficiency compared to traditional beamforming approaches. …”
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  12. 32

    Deep Learning-Based Secrecy Performance of UAV-IRS NOMA Systems With Friendly Jamming by Kajal Yadav, Prabhat K. Upadhyay, Jules M. Moualeu, Amani A. F. Osman, Pedro H. J. Nardelli

    Published 2025-01-01
    “…To circumvent this, we incorporate a friendly jamming technique into the proposed UAV-borne IRS NOMA system. …”
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    Article
  13. 33

    Dual PHY Layer for Non-Orthogonal Multiple Access Transceiver in 5G Networks by Sobia Baig, Muneeb Ahmad, Hafiz Muhammad Asif, Muhammad Naeem Shehzad, Mujtaba Hussain Jaffery

    Published 2018-01-01
    “…The NOMA system model consists of the conventional orthogonal frequency division multiplexing (OFDM), as a pulse shaping technique in conjunction with a variable power domain for various users, allocated in proportion to each user’s channel gain. …”
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  14. 34

    Synergizing BRDF correction and deep learning for enhanced crop classification in GF-1 WFV imagery by Yuanwei Chen, Yang Li, Runze Li, Chongzheng Guo, Jilin Li

    Published 2025-07-01
    “…Secondly, utilizing four spectral bands from WFV images along with three effective vegetation indices as feature variables, a multi-feature fusion deep learning classification system was constructed. …”
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  15. 35

    Performance analysis of secure NOMA wireless system over Rician fading channels by Aml Fawzy, Mahmoud M. Selim, Maha Elsabrouty, Sameh A. Napoleon, Mustafa M. Abd Elnaby

    Published 2025-07-01
    “…Abstract With the current deployment of 5 G communication and its promise to respond to the ever-increasing demand for high data rates, extensive research has focused on advanced multiple access techniques. Non-Orthogonal Multiple Access (NOMA) is a potential candidate for enhancing spectral efficiency and supporting massive connectivity among the most promising multiple access techniques. …”
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  16. 36

    Optimizing Deep Learning Models for Fire Detection, Classification, and Segmentation Using Satellite Images by Abdallah Waleed Ali, Sefer Kurnaz

    Published 2025-01-01
    “…Earth observation (EO) satellites offer significant potential in wildfire detection and assessment due to their ability to provide fine spatial, temporal, and spectral resolutions. Over the past decade, satellite data have been systematically utilized to monitor wildfire dynamics and evaluate their impacts, leading to substantial advancements in wildfire management strategies. …”
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  17. 37

    Geospatial analysis to identify millet suitable areas in the upland rice ecosystem of Odisha by Murali Krishna Gumma, Pranay Panjala, Shashi Kumar Gupta, Vinay Kumar Sehgal, Kumara Charyulu Deevi, Ashok Kumar Are, Pavan Kumar Bellam, Mihir Ranjan Mohanty, S.K. Swain, Gajanan Sawargaonkar, Ephrem Habyarimana, Arabinda Kumar Padhee

    Published 2025-03-01
    “…This study identified suitable areas for millet cultivation in the upland regions of Odisha using Sentinel-2 time-series data, DEM and ground data. Through spectral matching techniques, the study accurately delineated areas suitable for millet introduction under upland rice ecosystem. …”
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  18. 38

    Utilizing active learning and attention-CNN to classify vegetation based on UAV multispectral data by Sheng Miao, Chuanlong Wang, Guangze Kong, Xiuhe Yuan, Xiang Shen, Chao Liu

    Published 2024-12-01
    “…This module enhances the capture of detailed texture information, optimally allocates spectral weights, and improves the model’s ability to distinguish between similar categories. …”
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  19. 39

    Analysis and research on the impact of medium voltage power line carrier communication by ZHAO Tonghan, SU Yuzhong

    Published 2024-11-01
    “…This system adaptively allocates subcarrier resources, employs efficient modulation and demodulation techniques, and performs real-time noise prediction and suppression, significantly enhancing the spectral efficiency, interference resistance, and reliability of signal transmission in the communication system. …”
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  20. 40

    Multi-head deep Q-learning for continuous beamforming with selective MC-CDMA operation in V2X highway communications by Nguyen Huu Trung, Nguyen Thuy Anh, Fuqiang Liu

    Published 2025-08-01
    “…Simulation results demonstrate that the proposed system achieves significant improvements in bit error rate (BER), bitrate stability, handover smoothness, and spectral efficiency. When equipped with a large-scale antenna array, the system ensures continuous beam tracking and substantially outperforms conventional RL-based techniques. …”
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