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Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems

Jun 08, 2021
Shunpu Tang, Junjuan Xia, Lisheng Fan, Xianfu Lei, Wei Xu, Arumugam Nallanathan

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Modeling and Coverage Analysis for RIS-aided NOMA Transmissions in Heterogeneous Networks

Apr 27, 2021
Ziyi Xie, Wenqiang Yi, Xuanli Wu, Yuanwei Liu, Arumugam Nallanathan

* 30 pages, 7 figures, 2 tables 

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AoA-Based Pilot Assignment in Massive MIMO Systems Using Deep Reinforcement Learning

Mar 25, 2021
Yasaman Omid, Seyed MohammadReza Hosseini, Seyyed MohammadMahdi Shahabi, Mohammad Shikh-Bahaei, Arumugam Nallanathan

* submitted to IEEE Communication Letters 

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Joint Resource Allocation and Cache Placement for Location-Aware Multi-User Mobile Edge Computing

Mar 20, 2021
Jiechen Chen, Hong Xing, Xiaohui Lin, Arumugam Nallanathan, Suzhi Bi

* 32 pages, 9 figures, submitted for possible journal publication 

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Machine Learning for Massive Industrial Internet of Things

Mar 10, 2021
Hui Zhou, Changyang She, Yansha Deng, Mischa Dohler, Arumugam Nallanathan

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Learning based signal detection for MIMO systems with unknown noise statistics

Jan 21, 2021
Ke He, Le He, Lisheng Fan, Yansha Deng, George K. Karagiannidis, Arumugam Nallanathan

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Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks

Aug 12, 2020
Tiankui Zhang, Ziduan Wang, Yuanwei Liu, Wenjun Xu, Arumugam Nallanathan

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Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

Nov 10, 2019
Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Arumugam Nallanathan

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Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge

Oct 11, 2019
Zhiyong Du, Yansha Deng, Weisi Guo, Arumugam Nallanathan, Qihui Wu

* under review in IEEE Communications Magazine 

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