An Efficient Reinforcement Learning for Device-to-device Communication Underlaying Cellular Network

IEIE Transactions on Smart Processing and Computing ◽

10.5573/ieiespc.2020.9.1.075 ◽

2020 ◽

Vol 9 (1) ◽

pp. 75-84

Author(s):

Pratap Khuntia ◽

Ranjay Hazra

Keyword(s):

Reinforcement Learning ◽

Cellular Network ◽

Device To Device ◽

Device To Device Communication

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An Actor-Critic Reinforcement Learning for Device-to-Device Communication Underlaying Cellular Network

TENCON 2018 - 2018 IEEE Region 10 Conference ◽

10.1109/tencon.2018.8650160 ◽

2018 ◽

Author(s):

Pratap Khuntia ◽

Ranjay Hazra

Keyword(s):

Reinforcement Learning ◽

Cellular Network ◽

Device To Device ◽

Device To Device Communication

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An efficient actor-critic reinforcement learning for device-to-device communication underlaying sectored cellular network

International Journal of Communication Systems ◽

10.1002/dac.4315 ◽

2020 ◽

Vol 33 (10) ◽

pp. e4315

Author(s):

Pratap Khuntia ◽

Ranjay Hazra ◽

Peter Chong

Keyword(s):

Reinforcement Learning ◽

Cellular Network ◽

Device To Device ◽

Device To Device Communication

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An efficient Deep reinforcement learning with extended Kalman filter for device‐to‐device communication underlaying cellular network

Transactions on Emerging Telecommunications Technologies ◽

10.1002/ett.3671 ◽

2019 ◽

Vol 30 (9) ◽

Author(s):

Pratap Khuntia ◽

Ranjay Hazra

Keyword(s):

Kalman Filter ◽

Reinforcement Learning ◽

Extended Kalman Filter ◽

Cellular Network ◽

Device To Device ◽

Device To Device Communication

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Resource Allocation and Beamforming Algorithm Based on Interference Avoidance Approach for Device-to-Device Communication Underlaying LTE Cellular Network

Communications and Network ◽

10.4236/cn.2013.53b2067 ◽

2013 ◽

Vol 05 (03) ◽

pp. 367-373 ◽

Author(s):

Huy-Dung Han ◽

Chenxi Zhu ◽

Dorin Viorel ◽

Akira Ito

Keyword(s):

Resource Allocation ◽

Cellular Network ◽

Interference Avoidance ◽

Device To Device ◽

Device To Device Communication ◽

Beamforming Algorithm

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Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Intelligent Sustainable Systems - Lecture Notes in Networks and Systems ◽

10.1007/978-981-16-6369-7_66 ◽

2021 ◽

pp. 729-739

Author(s):

Munna Lal Jatav ◽

Ashutosh Datar ◽

Leeladhar Malviya

Keyword(s):

Cellular Network ◽

Energy Utilization ◽

Device To Device ◽

Device To Device Communication

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Spectrally efficient resource allocation for device to device communication underlying cellular network: Sum rate priority iterative auction based approach

2016 International Conference on Communication and Signal Processing (ICCSP) ◽

10.1109/iccsp.2016.7754268 ◽

2016 ◽

Author(s):

Twinkle Bhavsar ◽

Rachna Sharma

Keyword(s):

Resource Allocation ◽

Cellular Network ◽

Device To Device ◽

Efficient Resource ◽

Sum Rate ◽

Device To Device Communication ◽

Spectrally Efficient

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Throughput-Aware Cooperative Reinforcement Learning for Adaptive Resource Allocation in Device-to-Device Communication

Future Internet ◽

10.3390/fi9040072 ◽

2017 ◽

Vol 9 (4) ◽

pp. 72 ◽

Author(s):

Muhidul Khan ◽

Muhammad Alam ◽

Yannick Moullec ◽

Elias Yaacoub

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Adaptive Resource Allocation ◽

Device To Device ◽

Device To Device Communication ◽

Adaptive Resource

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Resource Allocation and Power Control Policy for Device-to-Device Communication Using Multi-Agent Reinforcement Learning

Computers Materials & Continua ◽

10.32604/cmc.2020.09130 ◽

2020 ◽

Vol 63 (3) ◽

pp. 1515-1532

Author(s):

Yifei Wei ◽

Yinxiang Qu ◽

Min Zhao ◽

Lianping Zhang ◽

F. Richard Yu

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Power Control ◽

Control Policy ◽

Device To Device ◽

Multi Agent ◽

Device To Device Communication

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Autonomous Power Allocation Based on Distributed Deep Learning for Device-to-Device Communication Underlaying Cellular Network

IEEE Access ◽

10.1109/access.2020.3000350 ◽

2020 ◽

Vol 8 ◽

pp. 107853-107864

Author(s):

Jeehyeong Kim ◽

Joohan Park ◽

Jaewon Noh ◽

Sunghyun Cho

Keyword(s):

Deep Learning ◽

Power Allocation ◽

Cellular Network ◽

Device To Device ◽

Device To Device Communication

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Resource Allocation and Power Control Scheme for Cellular Network Based D2D (Device-to-Device) Communication

Journal of Convergence Information Technology ◽

10.4156/jcit.vol8.issue7.7 ◽

2013 ◽

Vol 8 (7) ◽

pp. 47-54

Author(s):

TaeSub Kim ◽

SukHo Yoon ◽

Seungwan Ryu ◽

ChoongHo Cho

Keyword(s):

Resource Allocation ◽

Power Control ◽

Cellular Network ◽

Control Scheme ◽

Device To Device ◽

Device To Device Communication

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