Abstract The effectiveness of Wi-Fi networks is greatly influenced by the optimization of
contention window (CW) parameters. Unfortunately, the conventional approach employed …

Due to the exponential growth in the use of Wi-Fi networks, it is necessary to study its usage
pattern in dense environments for which the legacy IEEE 802.11 MAC (Medium Access …

The collision avoidance mechanism adopted by the IEEE 802.11 standard is not optimal.
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …

This paper proposes a simple reinforcement learning-based CW adjustment for IEEE 802.11
Networks. In the proposed scheme, each node finds an optimal value of CWmin for networks …

The IEEE 802.11 ah standard is introduced to address the growing scale of internet of things
(IoT) applications. To reduce contention and enhance energy efficiency in the system, the …

The potential applications of deep learning to the media access control (MAC) layer of
wireless local area networks (WLANs) have already been progressively acknowledged due …

Orthogonal frequency-division multiple access (OFDMA) has attracted great attention as a
key technology for uplink enhancement for Wi-Fi, since it can effectively reduce network …

The proper setting of contention window (CW) values has a significant impact on the
efficiency of Wi-Fi networks. Unfortunately, the standard method used by 802.11 networks is …

Wireless local area networks (WLANs) are widely deployed for Internet-centric data
applications. Due to their extensive norm in our day-to-day wireless-enabled life, WLANs are …

In IEEE 802.11 networks, wireless stations try to avoid congestions using the random backoff
algorithm in distributed coordination function (DCF); however, for a large number of nodes …