Intelligent handover decision scheme using double deep reinforcement learning
Handovers (HOs) have been envisioned to be more challenging in 5G networks due to the
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …
[HTML][HTML] Enhancing handover for 5g mmwave mobile networks using jump Markov linear system and deep reinforcement learning
The Fifth Generation (5G) mobile networks use millimeter waves (mmWaves) to offer gigabit
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
Intelligent dual active protocol stack handover based on double DQN deep reinforcement learning for 5G mmWave networks
The recently proposed dual active protocol stack (DAPS) handover (HO) is one of the
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …
Prediction-based conditional handover for 5G mm-wave networks: A deep-learning approach
Conditional handover (CHO) is one of several promising mobility enhancements in 5G
networks. By making preparation decisions earlier than in LTE HO, CHO can provide an …
networks. By making preparation decisions earlier than in LTE HO, CHO can provide an …
A survey of machine learning applications to handover management in 5G and beyond
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …
networks that need to be properly managed since it poses multiple threats to quality-of …
Handover management for next-generation wireless networks: A brief overview
The importance of Heterogeneous Networks (HetNets) is increased after enabling the high
band spectrum such as millimeter Wave (mmWave), in the development of the Fifth …
band spectrum such as millimeter Wave (mmWave), in the development of the Fifth …
Deep reinforcement learning based handover management for millimeter wave communication
The Millimeter Wave (mm-wave) band has a broad-spectrum capable of transmitting multi-
gigabit per-second date-rate. However, the band suffers seriously from obstruction and high …
gigabit per-second date-rate. However, the band suffers seriously from obstruction and high …
Ping-pong handover effect reduction in 5G and beyond networks
Handover (HO) is an essential process in mobile wireless networks to ensure that the user
equipment remains connected to the network while moving within the coverage of evolved …
equipment remains connected to the network while moving within the coverage of evolved …
Efficient handover algorithm in 5G networks using deep learning
ZH Huang, YL Hsu, PK Chang… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
In 5G networks, microcells are densely deployed for the spatial reuse to cooperate with the
traditional macrocells, and thus a moving user equipment (UE) usually experiences a more …
traditional macrocells, and thus a moving user equipment (UE) usually experiences a more …
5G handover using reinforcement learning
V Yajnanarayana, H Rydén… - 2020 IEEE 3rd 5G World …, 2020 - ieeexplore.ieee.org
In typical wireless cellular systems, the handover mechanism involves reassigning an
ongoing session handled by one cell into another. In order to support increased capacity …
ongoing session handled by one cell into another. In order to support increased capacity …