QoE-driven channel allocation schemes for multimedia transmission of priority-based secondary users over cognitive radio networks

T Jiang, H Wang, AV Vasilakos - IEEE journal on selected …, 2012 - ieeexplore.ieee.org
With the fast growing of multimedia communication applications, cognitive radio networks
have gained the popularity as they can provide high wireless bandwidth and support quality …

A customer centric best connected channel model for heterogeneous and IoT networks

P Singh, R Agrawal - Journal of Organizational and End User …, 2018 - igi-global.com
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 …

Reliable multimedia transmission over cognitive radio networks using fountain codes

H Kushwaha, Y **ng, R Chandramouli… - Proceedings of the …, 2007 - ieeexplore.ieee.org
With the explosive growth of wireless multimedia applications over the wireless Internet in
recent years, the demand for radio spectral resources has increased significantly. In order to …

Modeling and characterization of large-scale Wi-Fi traffic in public hot-spots

A Ghosh, R Jana, V Ramaswami… - 2011 Proceedings …, 2011 - ieeexplore.ieee.org
Server side measurements from several Wi-Fi hot-spots deployed in a nationwide network
over different types of venues from small coffee shops to large enterprises are used to …

A framework for statistical wireless spectrum occupancy modeling

C Ghosh, S Pagadarai, DP Agrawal… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
In this paper, we propose a novel spectrum occupancy model designed to generate
accurate temporal and frequency behavior of various wireless transmissions. Our proposed …

Daily trends and origin of computer-focused crimes against a large university computer network: An application of the routine-activities and lifestyle perspective

D Maimon, A Kamerdze, M Cukier… - British Journal of …, 2013 - academic.oup.com
Cybercrime has been the focus of public attention during the last decade. However, within
the criminological field, no prior research initiatives have been launched in an effort to better …

On-demand channel bonding in heterogeneous WLANs: A multi-agent deep reinforcement learning approach

H Qi, H Huang, Z Hu, X Wen, Z Lu - Sensors, 2020 - mdpi.com
In order to meet the ever-increasing traffic demand of Wireless Local Area Networks
(WLANs), channel bonding is introduced in IEEE 802.11 standards. Although channel …

SWAN: An SDN based campus WLAN framework

T Lei, Z Lu, X Wen, X Zhao… - 2014 4th International …, 2014 - ieeexplore.ieee.org
In order to provide quality of service (QoS) guarantees to the campus WLAN users, typical
campus WLAN systems need to provide a variety of services in a scalable manager …

Designing resource-on-demand strategies for dense WLANs

FG Debele, M Meo, D Renga, M Ricca… - IEEE Journal on …, 2015 - ieeexplore.ieee.org
Being cheap and easy to deploy, dense WLANs are becoming the most popular solution to
providing Internet access in locations where the population of users is large, such as on …

Joint stochastic geometry and mean field game optimization for energy-efficient proactive scheduling in ultra dense networks

M De Mari, EC Strinati, M Debbah… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we investigate the energy efficiency performance of optimal proactive
scheduling strategies in the context of ultra-dense networks. The network consists of a …