Q-Offload: Quality Aware WiFi Offloading with Link Dynamics

2015 ◽  
Author(s):  
Yi Zhang ◽  
Jiliang Wang ◽  
Yuan He ◽  
Yanrong Kang ◽  
Bo Li ◽  
...  
Keyword(s):  
Wifi Offloading

Energy Considerations for WiFi Offloading of Video Streaming

2015 ◽  
pp. 181-195 ◽  
Author(s):  
Valentin Burger ◽  
Fabian Kaup ◽  
Michael Seufert ◽  
Matthias Wichtlhuber ◽  
David Hausheer ◽  
...  
Keyword(s):  
Video Streaming ◽  
Wifi Offloading

Design and Evaluation of Wi-Fi Offloading Mechanism in Heterogeneous Networks

2021 ◽  
Vol 17 (1) ◽  
pp. 60-70
Author(s):  
Vinoth Kumar V. ◽  
Ramamoorthy S. ◽  
Dhilip Kumar V. ◽  
Prabu M. ◽  
Balajee J. M.
Keyword(s):  
Disaster Management ◽  
Ad Hoc Network ◽  
Cellular Network ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Potential Solution ◽  
Mobile Ad Hoc ◽  
Wifi Offloading ◽  
Performance Results

In recent years, WiFi offloading provides a potential solution for improving ad hoc network performance along with cellular network. This paper reviews the different offloading techniques that are implemented in various applications. In disaster management applications, the cellular network is not optimal for existing case studies because the lack of infrastructure. MANET Wi-Fi offloading (MWO) is one of the potential solutions for offloading cellular traffic. This word combines the cellular network with mobile ad hoc network by implementing the technique of Wi-Fi offloading. Based on the applications requirements the offloading techniques implemented into mobile-to-mobile (M-M), mobile-to-cellular (M-C), mobile-to-AP (M-AP). It serves more reliability, congestion eliminated, increasing data rate, and high network performance. The authors also identified the issue while implementing the offloading techniques in network. Finally, this paper achieved the better performance results compared to existing approaches implemented in disaster management.

scholarly journals WiFi Offloading Algorithm Based on Q-Learning and MADM in Heterogeneous Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Lin Sun ◽  
Qi Zhu
Keyword(s):  
Heterogeneous Networks ◽  
User Satisfaction ◽  
Mobile User ◽  
User Cost ◽  
Analytic Hierarchy ◽  
Wifi Networks ◽  
Q Learning ◽  
Reward Function ◽  
Wifi Offloading ◽  
Topsis Technique

This paper proposes a WiFi offloading algorithm based on Q-learning and MADM (multiattribute decision making) in heterogeneous networks for a mobile user scenario where cellular networks and WiFi networks coexist. The Markov model is used to describe the changes of the network environment. Four attributes including user throughput, terminal power consumption, user cost, and communication delay are considered to define the user satisfaction function reflecting QoS (Quality of Service), and Q-learning is used to optimize it. Through AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) in MADM, the intrinsic connection between each attribute and the reward function is obtained. The user uses Q-learning to make offloading decisions based on current network conditions and their own offloading history, ultimately maximizing their satisfaction. The simulation results show that the user satisfaction of the proposed algorithm is better than the traditional WiFi offloading algorithm.

scholarly journals Assessing the WiFi offloading benefit on both service performance and EMF exposure in urban areas

2016 ◽  
Author(s):  
Mathieu Brau ◽  
Julien Stephan ◽  
Luis Diez ◽  
Yoann Corre ◽  
Yves Lostanlen ◽  
...  
Keyword(s):  
Urban Areas ◽  
Service Performance ◽  
Wifi Offloading
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