Suchergebnisse - MCS selection algorithm

  1. 1

    End-to-end intelligent MCS selection algorithm von Xue, Xiaosong, Pan, Wei, Yan, Fang, Li, Na

    ISSN: 2768-1904
    Veröffentlicht: IEEE 08.05.2024
    “… In this paper, an end-to-end intelligent modulation and coding scheme (MCS) algorithm is proposed, where the reinforcement learning (RL) is exploited …”
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  2. 2

    Deep Reinforcement Learning-Based Modulation and Coding Scheme Selection in Cognitive Heterogeneous Networks von Zhang, Lin, Tan, Junjie, Liang, Ying-Chang, Feng, Gang, Niyato, Dusit

    ISSN: 1536-1276, 1558-2248
    Veröffentlicht: New York IEEE 01.06.2019
    Veröffentlicht in IEEE transactions on wireless communications (01.06.2019)
    “… (DRL) and propose an intelligent MCS selection algorithm for the primary transmission …”
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    Journal Article
  3. 3

    Investigation of different MCS selection algorithm to reduce the impact of CSI-RS on LTE legacy UEs von Zhao, Xiaofei, Gu, Xinyu, Zhang, Xiang, Gong, Yi, Zhang, Lin, Li, Wenyu

    ISBN: 9781479986392, 1479986399
    ISSN: 2159-3442, 2159-3450
    Veröffentlicht: IEEE 01.11.2015
    Veröffentlicht in TENCON ... IEEE Region Ten Conference (01.11.2015)
    “… In LTE-A (Long Term Evolution-Advanced) network deployed with higher order MIMO (Multiple Input Multiple Output), CRS (Common Reference Signal) is substituted …”
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    Tagungsbericht Journal Article
  4. 4

    ALPACA: An Asymmetric Loss Prediction Algorithm for Channel Adaptation Based on a Convolutional-Recurrent Neural Network in URLLC Systems von Glinskiy, Kirill, Kureev, Aleksey Andreevich, Khorov, Evgeny

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2024
    Veröffentlicht in IEEE access (2024)
    “… The MCS selection problem is extremely challenging to capture the quickly varying wireless channel effects, e.g …”
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    Journal Article
  5. 5

    MCS selection algorithms for a persistent allocation scheme to accommodate VoIP services in IEEE 802.16e OFDMA system von Changgi Cho, Hu Jin, Nah-Oak Song, Dan Keun Sung

    ISBN: 9781424451227, 1424451221
    ISSN: 2166-9570
    Veröffentlicht: IEEE 01.09.2009
    “… However, it is difficult to use the conventional modulation and coding scheme (MCS) selection algorithms, which are based on instantaneous SINR, for the persistent allocation scheme …”
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  6. 6

    Applied research of modulation-coding schemes selection algorithms effectiveness in 802.11 equipment von Uryvsky, Leonid, Moshynska, Alina, Osypchuk, Serhii

    Veröffentlicht: IEEE 01.10.2017
    “… In modern 802.11 equipment the algorithms are implemented that control MCS (Modulation-Coding Schemes …”
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  7. 7

    MCS: A Distributed Multi-User Channel Selection Algorithm for Cognitive Radio Networks von Satapathy, Shaswat, Singh, Shivani, Mishra, Debani Prasad

    Veröffentlicht: IEEE 01.12.2019
    “… Multi-arm bandit (MAB) theory have recently been in use to plan choice issues with exploration-exploitation tradeoff. Dynamic channel assignment in cognitive …”
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  8. 8

    MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm von Bojnordi, Ehsan, Mousavirad, Seyed Jalaleddin, Schaefer, Gerald, Korovin, Iakov

    Veröffentlicht: IEEE 05.12.2021
    “… Population-based metaheuristic algorithms have received significant attention in global optimisation …”
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  9. 9

    Link Adaptation Algorithm for Optimal Modulation and Coding Selection in 5G and Beyond Systems von Nicolini, Andrea, Icolari, Vincenzo, Dardari, Davide

    ISSN: 1938-1883
    Veröffentlicht: IEEE 28.05.2023
    “… ) controller principles and block error rate (BLER) target for modulation and coding scheme (MCS) selection applied to the latest mobile telecommunication standards …”
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  10. 10

    Modified Cuckoo Search-Support Vector Machine (MCS-SVM) Gene Selection and Classification for Autism Spectrum Disorder (ASD) Gene Expression von Kalaiarasu, Dr.M., Anitha, Dr.J.

    ISSN: 1303-5150, 1303-5150
    Veröffentlicht: Bornova Izmir NeuroQuantology 2020
    Veröffentlicht in NeuroQuantology (2020)
    “… To overcome this issue, Modified Cuckoo Search-Support Vector Machine (MCS-SVM) based wrapper feature selection algorithm is proposed which improves the accuracy …”
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    Journal Article
  11. 11

    MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm von Bojnordi, Ehsan, Mousavirad, Seyed Jalaleddin, Schaefer, Gerald, Korovin, Iakov

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 20.11.2021
    Veröffentlicht in arXiv.org (20.11.2021)
    “… Population-based metaheuristic algorithms have received significant attention in global optimisation …”
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    Paper
  12. 12

    Deep Reinforcement Learning for Modulation and Coding Scheme Selection in Cognitive HetNets von Zhang, Lin, Tan, Junjie, Liang, Ying-Chang, Feng, Gang, Niyato, Dusit

    ISSN: 1938-1883
    Veröffentlicht: IEEE 01.05.2019
    “… This makes it difficult for the PR to select a proper modulation and/or coding scheme (MCS). To deal with the issue, we propose an intelligent deep reinforcement …”
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  13. 13

    Reinforcement learning-based cell selection in sparse mobile crowdsensing von Liu, Wenbin, Wang, Leye, Wang, En, Yang, Yongjian, Zeghlache, Djamal, Zhang, Daqing

    ISSN: 1389-1286, 1872-7069
    Veröffentlicht: Amsterdam Elsevier B.V 09.10.2019
    Veröffentlicht in Computer networks (Amsterdam, Netherlands : 1999) (09.10.2019)
    “… , data collection costs) for ensuring a certain level of data quality. To address this issue, this paper proposes the reinforcement learning-based cell selection algorithm for Sparse MCS …”
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    Journal Article
  14. 14

    A fast-convergence algorithm for reliability analysis based on the AK-MCS von Xiong, Yifang, Sampath, Suresh

    ISSN: 0951-8320, 1879-0836
    Veröffentlicht: Barking Elsevier Ltd 01.09.2021
    Veröffentlicht in Reliability engineering & system safety (01.09.2021)
    “… •The algorithm performance of existing AK-MCS structures is sensitive to the Kriging trend and initial candidate size …”
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  15. 15

    Hybridization of Strength Pareto Multiobjective Optimization with Modified Cuckoo Search Algorithm for Rectangular Array von Abdul Rani, Khairul Najmy, Abdulmalek, Mohamedfareq, A. Rahim, Hasliza, Siew Chin, Neoh, Abd Wahab, Alawiyah

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 20.04.2017
    Veröffentlicht in Scientific reports (20.04.2017)
    “… ) optimization technique in rectangular array geometry synthesis. Precisely, the MCS algorithm is proposed by incorporating the Roulette wheel selection operator to choose the initial host nests (individuals …”
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    Journal Article
  16. 16

    A Novel Link Adaptation Approach for URLLC: A DRL-Based Method with OLLA von Gao, Wei, Zheng, Paul, Hu, Yulin, Shen, Chao, Ai, Bo, Schmeink, Anke

    ISSN: 1558-2612
    Veröffentlicht: IEEE 21.04.2024
    “… Furthermore, we enhance the MCS selection process by using the Outer Loop Link Adaptation algorithm for transmission reliability improvement …”
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  17. 17

    Location and Bid Privacy Preserving-Based Quality-Aware Worker Recruitment Scheme in MCS von Shi, Weifan, Deng, Qingyong, Li, Zhetao, Long, Saiqin, Liu, Haolin, Pang, Xiaoyi

    ISSN: 2327-4662, 2327-4662
    Veröffentlicht: Piscataway IEEE 15.06.2024
    Veröffentlicht in IEEE internet of things journal (15.06.2024)
    “… Mobile crowd sensing (MCS) has become a prevalent large-scale and low-cost data collection paradigm by employing workers, and the location and bid privacy of both task and workers should not be leaked to the third party …”
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    Journal Article
  18. 18

    Modified Cuckoo Search-Cascade Forest (MCS-CF) for Attention Deficit Hyperactivity Disorder (ADHD) Diagnosis von Padmavathy, Dr.T.V., Vinothkumar, Dr.M., Vimal Kumar, Dr.M.N.

    ISSN: 1303-5150, 1303-5150
    Veröffentlicht: Bornova Izmir NeuroQuantology 2020
    Veröffentlicht in NeuroQuantology (2020)
    “… ) based feature selection algorithm is suggested which helps in the accuracy improvement of the classifier used in ADHD …”
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  19. 19

    Keeping Cell Selection Model Up-to-Date to Adapt to Time-Dependent Environment in Sparse Mobile Crowdsensing von Han, Lei, Yu, Zhiyong, Wang, Liang, Yu, Zhiwen, Guo, Bin

    ISSN: 2327-4662, 2327-4662
    Veröffentlicht: Piscataway IEEE 15.09.2021
    Veröffentlicht in IEEE internet of things journal (15.09.2021)
    “… , which cells need to be selected to collect data) is a critical issue in Sparse MCS. Currently, state-of-the-art cell selection algorithms are implemented based on reinforcement learning …”
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    Journal Article
  20. 20

    Worker Selection towards High Service Quality in Mobile Crowd Sensing von Zou, Hong, Wang, Hongli, Cui, Yaping, He, Peng, Wu, Dapeng, Wang, Ruyan

    ISSN: 2577-2465
    Veröffentlicht: IEEE 01.09.2022
    Veröffentlicht in IEEE Vehicular Technology Conference (01.09.2022)
    “… In the field of mobile crowd sensing (MCS), worker selection is a key research issue and has progressively gained considerable interests in the academic community in recent years …”
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