GRU based optimal restricted access window mechanism for enhancing the performance of IEEE 802.11 ah based IoT networks
BS Pavan, VP Harigovindan - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract IEEE 802.11 ah, known as Wi-Fi HaLow standard, specifically promoted for next-
generation Internet of things (IoT) applications. Restricted access window (RAW) …
generation Internet of things (IoT) applications. Restricted access window (RAW) …
A neural network for estimating CQI in 5G communication systems
SK Vankayala, KG Shenoy - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Channel quality indicator (CQI) is a key parameter in communication system design that
encodes the state of the channel. With this information, a base station (BS) can adjust the …
encodes the state of the channel. With this information, a base station (BS) can adjust the …
Modeling multi-cell IEEE 802.11 WLANs with application to channel assignment
We provide a simple and accurate analytical model for multi-cell IEEE 802.11 WLANs. Our
model applies if the cell radius, R, is much smaller than the carrier sensing range, R cs. We …
model applies if the cell radius, R, is much smaller than the carrier sensing range, R cs. We …
To bond or not to bond: An optimal channel allocation algorithm for flexible dynamic channel bonding in WLANs
To meet rapidly increasing data rate requirements in WLANs, one important technique
adopted in 802.11 ac is the channel bonding (CB) scheme that combines multiple 20MHz …
adopted in 802.11 ac is the channel bonding (CB) scheme that combines multiple 20MHz …
Deep learning-based packet detection and carrier frequency offset estimation in IEEE 802.11 ah
V Ninkovic, A Valka, D Dumic, D Vukobratovic - IEEE Access, 2021 - ieeexplore.ieee.org
Wi-Fi systems based on the IEEE 802.11 standards are the most popular wireless interfaces
that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a …
that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a …
Functional split of in-network deep learning for 6G: A feasibility study
In existing mobile network systems, the data plane (DP) is mainly considered a pipeline
consisting of network elements end-to-end forwarding user data traffics. With the rapid …
consisting of network elements end-to-end forwarding user data traffics. With the rapid …
Artificial intelligence for 6G networks: Technology advancement and standardization
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …
design phase for 6G networks. 6G networks will be immensely complex, requiring more …
Learning to bond in dense WLANs with random traffic demands
Y Luo, KW Chin - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
The Access Points (APs) in a Wireless Local Area Network (WLAN) must be assigned one or
more channels to meet traffic demands from users. To date, prior works on channel …
more channels to meet traffic demands from users. To date, prior works on channel …
The impact of channel bonding on 802.11 n network management
The IEEE 802.11 n standard allows wireless devices to operate on 40MHz-width channels
by doubling their channel width from standard 20MHz channels, a concept called channel …
by doubling their channel width from standard 20MHz channels, a concept called channel …
Temporal averaging LSTM-based channel estimation scheme for IEEE 802.11 p standard
In vehicular communications, reliable channel estimation is critical for the system
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …
performance due to the doubly-dispersive nature of vehicular channels. IEEE 802.11 p …