Intelligent secure mobile edge computing for beyond 5G wireless networks

[1]  H. Vincent Poor,et al.  Game theoretic study of protecting MIMO transmissions against smart attacks , 2017, 2017 IEEE International Conference on Communications (ICC).

[2]  Tiejun Lv,et al.  Deep reinforcement learning based computation offloading and resource allocation for MEC , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[3]  Fusheng Zhu,et al.  An adaptive deep learning-based UAV receiver design for coded MIMO with correlated noise , 2021, Phys. Commun..

[4]  Caijun Zhong,et al.  Location Information Aided Multiple Intelligent Reflecting Surface Systems , 2020, IEEE Transactions on Communications.

[5]  George K. Karagiannidis,et al.  Dynamic Offloading for Multiuser Muti-CAP MEC Networks: A Deep Reinforcement Learning Approach , 2021, IEEE Transactions on Vehicular Technology.

[6]  Changsheng You,et al.  Delay-Optimal Scheduling for IRS-Aided Mobile Edge Computing , 2020, IEEE Wireless Communications Letters.

[7]  Zhenyu Na,et al.  UAV-Supported Clustered NOMA for 6G-Enabled Internet of Things: Trajectory Planning and Resource Allocation , 2021, IEEE Internet of Things Journal.

[8]  George K. Karagiannidis,et al.  Opportunistic Access Point Selection for Mobile Edge Computing Networks , 2021, IEEE Transactions on Wireless Communications.

[9]  Tapani Ristaniemi,et al.  Multi-objective optimization for computation offloading in mobile-edge computing , 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

[10]  Lisheng Fan,et al.  Efficient and flexible management for industrial Internet of Things: A federated learning approach , 2021, Comput. Networks.

[11]  Caijun Zhong,et al.  Statistical CSI based design for intelligent reflecting surface assisted MISO systems , 2020, Science China Information Sciences.

[12]  Junjuan Xia,et al.  Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks , 2021, Phys. Commun..

[13]  Rui Zhao,et al.  Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things , 2020, Phys. Commun..

[14]  Caijun Zhong,et al.  Robust Design for Intelligent Reflecting Surfaces Assisted MISO Systems , 2020, IEEE Communications Letters.

[15]  George K. Karagiannidis,et al.  Learning-Based Signal Detection for MIMO Systems With Unknown Noise Statistics , 2021, IEEE Transactions on Communications.

[16]  Caijun Zhong,et al.  Programmable Metasurface-Based Multicast Systems: Design and Analysis , 2020, IEEE Journal on Selected Areas in Communications.

[17]  Dan Deng,et al.  A Note on Implementation Methodologies of Deep Learning-Based Signal Detection for Conventional MIMO Transmitters , 2020, IEEE Transactions on Broadcasting.

[18]  Miaowen Wen,et al.  Generalized Multiple-Mode OFDM With Index Modulation , 2018, IEEE Transactions on Wireless Communications.

[19]  Zhiguo Ding,et al.  On the Performance of NOMA With Hybrid ARQ , 2018, IEEE Transactions on Vehicular Technology.

[20]  Pingzhi Fan,et al.  On the Impact of Time-Correlated Fading for Downlink NOMA , 2019, IEEE Transactions on Communications.

[21]  Ying-Chang Liang,et al.  Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning , 2020, IEEE Transactions on Vehicular Technology.

[22]  Hai Lin,et al.  Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems , 2017, IEEE Transactions on Signal Processing.

[23]  Miaowen Wen,et al.  Enhanced Orthogonal Frequency Division Multiplexing With Index Modulation , 2017, IEEE Transactions on Wireless Communications.

[24]  Dawei Li,et al.  A Q-learning based Method for Energy-Efficient Computation Offloading in Mobile Edge Computing , 2020, 2020 29th International Conference on Computer Communications and Networks (ICCCN).

[25]  György Dán,et al.  Selfish Decentralized Computation Offloading for Mobile Cloud Computing in Dense Wireless Networks , 2019, IEEE Transactions on Mobile Computing.

[26]  Dong Li,et al.  Ultra-reliable MU-MIMO detector based on deep learning for 5G/B5G-enabled IoT , 2020, Phys. Commun..

[27]  Zhenyu Na,et al.  Joint Subcarrier and Subsymbol Allocation-Based Simultaneous Wireless Information and Power Transfer for Multiuser GFDM in IoT , 2019, IEEE Internet of Things Journal.

[28]  George K. Karagiannidis,et al.  A Novel Cross Entropy Approach for Offloading Learning in Mobile Edge Computing , 2020, IEEE Wireless Communications Letters.

[29]  Fusheng Zhu,et al.  Content popularity prediction for cache-enabled wireless B5G networks , 2021, EURASIP J. Adv. Signal Process..

[30]  Shi Jin,et al.  A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model , 2017, IEEE Transactions on Vehicular Technology.