Wi-Fi HaLow for the Internet of Things: An up-to-date survey on IEEE 802.11 ah research
Abstract IEEE 802.11 ah, marketed as Wi-Fi HaLow, is a new sub-1GHz Wi-Fi technology for
the Internet of Things (IoT), aiming to address the major challenge of the IoT: providing …
the Internet of Things (IoT), aiming to address the major challenge of the IoT: providing …
Channel assignment algorithms in cognitive radio networks: Taxonomy, open issues, and challenges
The cognitive radio is an emerging technology that enables dynamic spectrum access in
wireless networks. The cognitive radio is capable of opportunistically using the available …
wireless networks. The cognitive radio is capable of opportunistically using the available …
Performance analysis of group-synchronized DCF for dense IEEE 802.11 networks
In dense IEEE 802.11 networks, improving the efficiency of contention-based media access
control is an important and challenging issue. Recently, the IEEE802. 11ah Task Group has …
control is an important and challenging issue. Recently, the IEEE802. 11ah Task Group has …
Deep reinforcement learning-based channel allocation for wireless lans with graph convolutional networks
K Nakashima, S Kamiya, K Ohtsu, K Yamamoto… - IEEE …, 2020 - ieeexplore.ieee.org
For densely deployed wireless local area networks (WLANs), this paper proposes a deep
reinforcement learning-based channel allocation scheme that enables the efficient use of …
reinforcement learning-based channel allocation scheme that enables the efficient use of …
A customer centric best connected channel model for heterogeneous and IoT networks
This article describes how the Heterogeneous and IoT networks are the most sought
solutions to significant coverage and connectivity to the users. This article suggests a model …
solutions to significant coverage and connectivity to the users. This article suggests a model …
A review of software-defined WLANs: Architectures and central control mechanisms
The significant growth in the number of WiFi-enabled devices as well as the increase in the
traffic conveyed through wireless local area networks (WLANs) necessitate the adoption of …
traffic conveyed through wireless local area networks (WLANs) necessitate the adoption of …
Survey of spectrum sharing for inter-technology coexistence
Increasing capacity demands in emerging wireless technologies are expected to be met by
network densification and spectrum bands open to multiple technologies. These will, in turn …
network densification and spectrum bands open to multiple technologies. These will, in turn …
Real-time channel management in WLANs: Deep reinforcement learning versus heuristics
O Iacoboaiea, J Krolikowski, ZB Houidi… - 2021 IFIP Networking …, 2021 - ieeexplore.ieee.org
Today's WLANs rely on a centralized Access Controller (AC) entity for managing distributed
wireless Access Points (APs) to which user devices connect. The availability of real-time …
wireless Access Points (APs) to which user devices connect. The availability of real-time …
Distributed learning for channel allocation over a shared spectrum
Channel allocation is the task of assigning channels to users such that some objective (eg,
sum-rate) is maximized. In centralized networks such as cellular networks, this task is carried …
sum-rate) is maximized. In centralized networks such as cellular networks, this task is carried …
Learning-based coexistence for LTE operation in unlicensed bands
The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U,
is a promising enhancement to increase the capacity of LTE networks and meet the …
is a promising enhancement to increase the capacity of LTE networks and meet the …