Intelligent Dual Active Protocol Stack Handover Based on Double DQN Deep Reinforcement Learning for 5G mmWave Networks

Prediction-Based Conditional Handover for 5G mm-Wave Networks: A Deep-Learning Approach

(2020) Changsung Lee et al.   IEEE Vehicular Technology Magazine

Generalized RACH-Less Handover for Seamless Mobility in 5G and Beyond Mobile Networks

(2019) Ji-Hwan Choi et al.   IEEE Wireless Communications Letters

Handover Mechanism in NR for Ultra-Reliable Low-Latency Communications

(2018) Hyun-Seo Park et al.   IEEE NETWORK

The SMART Handoff Policy for Millimeter Wave Heterogeneous Cellular Networks

(2018) Yao Sun et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Optimization of Handover Parameters for LTE/LTE-A in-Building Systems

(2018) Diego Castro-Hernandez et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Handover Control in Wireless Systems via Asynchronous Multi-User Deep Reinforcement Learning

(2018) Zhi Wang et al.   IEEE Internet of Things Journal

TCP and MP-TCP in 5G mmWave Networks

(2017) Michele Polese et al.   IEEE INTERNET COMPUTING

Measurement and stochastic modeling of handover delay and interruption time of smartphone real-time applications on LTE networks

(2015) Donghyuk Han et al.   IEEE COMMUNICATIONS MAGAZINE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Millimeter Wave Channel Modeling and Cellular Capacity Evaluation

(2014) Mustafa Riza Akdeniz et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges

(2014) Sundeep Rangan et al.   PROCEEDINGS OF THE IEEE

Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!

(2013) T. S. Rappaport et al.   IEEE Access