Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions
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Christos Masouros | Kai-Kit Wong | Xiaoyan Hu | C. Masouros | Xiaoyan Hu | Kai‐Kit Wong | Member Ieee Xiaoyan Hu | Senior Member Ieee Christos Masouros | Fellow Ieee Kai-Kit Wong | Kai-Kit Wong | Xiaoyan Hu
[1] Wenzhong Li,et al. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing , 2015, IEEE/ACM Transactions on Networking.
[2] Chau Yuen,et al. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication , 2018, IEEE Transactions on Wireless Communications.
[3] Le Thi Hoai An,et al. The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems , 2005, Ann. Oper. Res..
[4] Arumugam Nallanathan,et al. Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing , 2020, IEEE Journal on Selected Areas in Communications.
[5] Ahmet M. Elbir,et al. Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems , 2020, IEEE Wireless Communications Letters.
[6] Chong-Yung Chi,et al. Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization , 2011, IEEE Transactions on Signal Processing.
[7] Dario Pompili,et al. Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks , 2017, IEEE Transactions on Vehicular Technology.
[8] Nei Kato,et al. Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach , 2019, IEEE Transactions on Emerging Topics in Computing.
[9] Haiyun Luo,et al. Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel , 2013, IEEE Transactions on Wireless Communications.
[10] Qingqing Wu,et al. Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints , 2019, IEEE Journal on Selected Areas in Communications.
[11] Ying Jun Zhang,et al. Computation Rate Maximization for Wireless Powered Mobile-Edge Computing With Binary Computation Offloading , 2017, IEEE Transactions on Wireless Communications.
[12] Christos Masouros,et al. Removing Channel Estimation by Location-Only Based Deep Learning for RIS Aided Mobile Edge Computing , 2021, ICC 2021 - IEEE International Conference on Communications.
[13] Zhi Ding,et al. Federated Learning via Over-the-Air Computation , 2018, IEEE Transactions on Wireless Communications.
[14] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[15] Wei Yu,et al. Robust Symbol-Level Precoding Via Autoencoder-Based Deep Learning , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] Jakob Hoydis,et al. An Introduction to Deep Learning for the Physical Layer , 2017, IEEE Transactions on Cognitive Communications and Networking.
[17] Yong Zhou,et al. Reconfigurable Intelligent Surface for Green Edge Inference , 2019, IEEE Transactions on Green Communications and Networking.
[18] Mohamed-Slim Alouini,et al. Wireless Communications Through Reconfigurable Intelligent Surfaces , 2019, IEEE Access.
[19] Jun Zhao,et al. Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications , 2020, IEEE Transactions on Wireless Communications.
[20] Meixia Tao,et al. Edge and Central Cloud Computing: A Perfect Pairing for High Energy Efficiency and Low-Latency , 2018, IEEE Transactions on Wireless Communications.
[21] Rose Qingyang Hu,et al. Computation Rate Maximization in UAV-Enabled Wireless-Powered Mobile-Edge Computing Systems , 2018, IEEE Journal on Selected Areas in Communications.
[22] Jun Zhao,et al. Intelligent Reflecting Surface Meets Mobile Edge Computing: Enhancing Wireless Communications for Computation Offloading , 2020 .
[23] Rui Zhang,et al. Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network , 2019, IEEE Communications Magazine.
[24] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[25] Ronghong Mo,et al. Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning , 2020, IEEE Journal on Selected Areas in Communications.
[26] Kai-Kit Wong,et al. Wireless Powered Cooperation-Assisted Mobile Edge Computing , 2018, IEEE Transactions on Wireless Communications.
[27] Rose Qingyang Hu,et al. Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks , 2020, IEEE Transactions on Wireless Communications.
[28] Kaibin Huang,et al. Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading , 2016, IEEE Transactions on Wireless Communications.
[29] K. B. Letaief,et al. A Survey on Mobile Edge Computing: The Communication Perspective , 2017, IEEE Communications Surveys & Tutorials.
[30] Rongxin Jiang,et al. Gain and Phase Autocalibration of Large Uniform Rectangular Arrays for Underwater 3-D Sonar Imaging Systems , 2014, IEEE Journal of Oceanic Engineering.
[31] Arumugam Nallanathan,et al. Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems , 2020, IEEE Transactions on Wireless Communications.
[32] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[33] Sergio Barbarossa,et al. Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing , 2014, IEEE Transactions on Signal and Information Processing over Networks.
[34] Xukan Ran,et al. Deep Learning With Edge Computing: A Review , 2019, Proceedings of the IEEE.
[35] David Tse,et al. Fundamentals of Wireless Communication , 2005 .
[36] Qingqing Wu,et al. Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming , 2018, IEEE Transactions on Wireless Communications.
[37] Kai-Kit Wong,et al. UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization , 2018, IEEE Transactions on Wireless Communications.
[38] Xu Feng,et al. Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks , 2018, Mobile Networks and Applications.
[39] Ying Jun Zhang,et al. Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks , 2018, IEEE Transactions on Mobile Computing.
[40] Kai-Kit Wong,et al. Wireless-Powered Edge Computing With Cooperative UAV: Task, Time Scheduling and Trajectory Design , 2020, IEEE Transactions on Wireless Communications.