Deep learning based user association in heterogeneous wireless networks
Y Zhang, L Xiong, J Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Due to the high splitting-gain of dense small cells, Ultra-Dense Network (UDN) is widely
regarded as a promising networking technology to achieve high data rate and low latency in …
regarded as a promising networking technology to achieve high data rate and low latency in …
Context-aware decoupled multiple association in ultra-dense networks
The new trends in network denisification, heterogeneity, and the introduction of new
techniques (eg, full-duplex) introduce new challenges for user association. For most existing …
techniques (eg, full-duplex) introduce new challenges for user association. For most existing …
Parallel deep reinforcement learning based online user association optimization in heterogeneous networks
This paper studies heterogeneous networks (HetNets) where multiple wireless users are
supposed to associate with an optimal base station (BS) to maximize the network utility. In …
supposed to associate with an optimal base station (BS) to maximize the network utility. In …
Optimizing user association and activation fractions in heterogeneous wireless networks
We consider the problem of maximizing the alphafairness utility over the downlink of a
heterogeneous wireless network (HetNet) by jointly optimizing the association of users to …
heterogeneous wireless network (HetNet) by jointly optimizing the association of users to …
Learning-Based Model Predictive Control for User Association in Multi-Band Mobile Networks
M Gupta, S Chinchali, P Varkey… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
As cellular networks embrace heterogeneity with higher base station (BS) densities and ever
more frequency bands, BS selection and band assignment become increasingly key …
more frequency bands, BS selection and band assignment become increasingly key …
Dual connectivity enabled user association approach for max-throughput in the downlink heterogeneous network
Y Shi, H Qu, J Zhao - Wireless Personal Communications, 2017 - Springer
The architecture of dual connectivity (DC) allows each user's equipment to simultaneously
communicate with a macro and a small cell via two different radio-interfaces. User …
communicate with a macro and a small cell via two different radio-interfaces. User …
A learning aided long-term user association scheme for ultra-dense networks
In an ultra-dense network (UDN), how to associate the mobile user equipments (UEs) with
the appropriate low power nodes (LPNs) is a very essential and challenging problem …
the appropriate low power nodes (LPNs) is a very essential and challenging problem …
[HTML][HTML] Distributed user-to-multiple access points association through deep learning for beyond 5G
Future wireless networks will be facing unprecedented difficulties arising from mobile traffic
growth, network densification, as well as diversification of applications and services. Indeed …
growth, network densification, as well as diversification of applications and services. Indeed …
Cache aware user association for wireless heterogeneous networks
The proliferation of network devices and novel bandwidth hungry applications over the
existing network imposes novel challenges in terms of fulfilling the users' requirements …
existing network imposes novel challenges in terms of fulfilling the users' requirements …
User association and power allocation based on unsupervised graph model in ultra-dense network
K Hou, Q Xu, X Zhang, Y Huang… - 2021 IEEE wireless …, 2021 - ieeexplore.ieee.org
Ultra-Dense Network (UDN) has become a key technology in 5G communication systems.
By deploying low power micro base stations (BSs) densely and flexibly to reduce the …
By deploying low power micro base stations (BSs) densely and flexibly to reduce the …