Design of MAC layer resource allocation schemes for IEEE 802.11 ax: Future directions

R Ali, SW Kim, BS Kim, Y Park - IETE Technical Review, 2018 - Taylor & Francis
Wireless local area networks (WLANs) are widely deployed for internet-centric data
applications. It is predicted that by 2018, about two-thirds of the world's internet traffic will be …

Mobility impact in IEEE 802.11 p infrastructureless vehicular networks

W Alasmary, W Zhuang - Ad Hoc Networks, 2012 - Elsevier
Vehicular ad hoc networks (VANETs) are an extreme case of mobile ad hoc networks
(MANETs). High speed and frequent network topology changes are the main characteristics …

IEEE 802.11 ax: Next generation wireless local area networks

DJ Deng, KC Chen, RS Cheng - 10Th international conference …, 2014 - ieeexplore.ieee.org
Recently, IEEE 802 started a task group to investigate and deliver next generation WLAN
technologies for the scenarios of dense networks with a large number of stations and access …

A novel centralized TDMA-based scheduling protocol for vehicular networks

R Zhang, X Cheng, L Yang, X Shen… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we propose a novel centralized time-division multiple access (TDMA)-based
scheduling protocol for practical vehicular networks based on a new weight-factor-based …

On quality-of-service provisioning in IEEE 802.11 ax WLANs

DJ Deng, SY Lien, J Lee, KC Chen - IEEE Access, 2016 - ieeexplore.ieee.org
A revolutionary effort to seek fundamental improvement of 802.11, known as IEEE 802.11
ax, has been approved to deliver the next-generation wireless local area network (WLAN) …

A unified analysis of IEEE 802.11 DCF networks: Stability, throughput, and delay

L Dai, X Sun - IEEE Transactions on Mobile Computing, 2012 - ieeexplore.ieee.org
In this paper, a unified analytical framework is established to study the stability, throughput,
and delay performance of homogeneous buffered IEEE 802.11 networks with Distributed …

Intelligent sharing for LTE and WiFi systems in unlicensed bands: A deep reinforcement learning approach

J Tan, L Zhang, YC Liang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Operating LTE networks in unlicensed bands together with legacy WiFi systems is deemed
as a promising technique to support explosively growing mobile traffic. In conventional …

Adaptive contention window design using deep Q-learning

A Kumar, G Verma, C Rao, A Swami… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
We study the problem of adaptive contention window (CW) design for random-access
wireless networks. More precisely, our goal is to design an intelligent node that can …

Backoff design for IEEE 802.11 DCF networks: Fundamental tradeoff and design criterion

X Sun, L Dai - IEEE/ACM Transactions on Networking, 2014 - ieeexplore.ieee.org
Binary Exponential Backoff (BEB) is a key component of the IEEE 802.11 DCF protocol. It
has been shown that BEB can achieve the theoretical limit of throughput as long as the initial …

Channel condition based contention window adaptation in IEEE 802.11 WLANs

K Hong, SK Lee, K Kim, YH Kim - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
In IEEE 802.11 standard, the backoff parameters of its collision avoidance mechanism can
be very inefficient and hence, the network becomes far from its optimal behavior. There have …