Network-assisted offloading for mobile cloud applications

Data traffic from mobile devices experiences unprecedented growth, which current cellular network capacities cannot sustain. Traffic offloading to other type of networks, such as WiFi, can be used to reduce load in cellular networks. In this paper, we propose a novel solution, which unlike other existing methodologies, implements tight cooperation with the cellular network to optimize traffic offloading. The cellular network provides information about channel usage statistics, user mobility patterns, available resources and other parameters. The offloading decisions aim at optimizing the balance between user application requirements and availability of network resources. The validation results, obtained from NS-3 simulations, confirm effectiveness of the proposed solution in balancing cellular traffic load while ensuring QoS.

[1]  Roy Friedman,et al.  On Power and Throughput Tradeoffs of WiFi and Bluetooth in Smartphones , 2011, IEEE Transactions on Mobile Computing.

[2]  Dan Feng,et al.  iOSDC : A Novel Autonomous Intelligent OSD Cluster , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[3]  Feng Qian,et al.  Profiling resource usage for mobile applications: a cross-layer approach , 2011, MobiSys '11.

[4]  Michael Siegrist,et al.  Perception of Mobile Phone and Base Station Risks , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[5]  Wan-Young Chung,et al.  Enhanced RSSI-Based Real-Time User Location Tracking System for Indoor and Outdoor Environments , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[6]  Aravind Srinivasan,et al.  Mobile Data Offloading through Opportunistic Communications and Social Participation , 2012, IEEE Transactions on Mobile Computing.

[7]  Deborah Estrin,et al.  A first look at traffic on smartphones , 2010, IMC '10.

[8]  Bo Han,et al.  Cellular Traffic Offloading through WiFi Networks , 2011, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems.

[9]  Michalis Faloutsos,et al.  Assessing link quality in IEEE 802.11 Wireless Networks: Which is the right metric? , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[10]  Guohong Cao,et al.  An Incentive Framework for Cellular Traffic Offloading , 2014, IEEE Transactions on Mobile Computing.

[11]  Kyunghan Lee,et al.  Mobile Data Offloading: How Much Can WiFi Deliver? , 2013, IEEE/ACM Transactions on Networking.

[12]  Feng Qian,et al.  A close examination of performance and power characteristics of 4G LTE networks , 2012, MobiSys '12.

[13]  Arun Venkataramani,et al.  Augmenting mobile 3G using WiFi , 2010, MobiSys '10.

[14]  Jing Zhu.  On traffic characteristics and user experience of Skype video call , 2011, 2011 IEEE Nineteenth IEEE International Workshop on Quality of Service.

[15]  Naga Bhushan,et al.  LTE-Advanced: Heterogeneous networks , 2010, 2010 European Wireless Conference (EW).

[16]  Chonho Lee,et al.  A survey of mobile cloud computing: architecture, applications, and approaches , 2013, Wirel. Commun. Mob. Comput..

[17]  Albert Banchs,et al.  Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization , 2016, IEEE Journal on Selected Areas in Communications.

[18]  A. Persaud,et al.  Innovative mobile marketing via smartphones , 2012 .

[19]  David Wetherall,et al.  Predictable 802.11 packet delivery from wireless channel measurements , 2010, SIGCOMM '10.

[20]  Yu Wang,et al.  Mobile Data Delivery through Opportunistic Communications among Cellular Users : A Case Study for the D 4 D Challenge ∗ , 2013 .

[21]  Daniel Halperin,et al.  Simplifying the Configuration of 802.11 Wireless Networks with Effective SNR , 2013, ArXiv.

[22]  Albert Y. Zomaya,et al.  NC-CELL: Network coding-based content distribution in cellular networks for cloud applications , 2014, 2014 IEEE Global Communications Conference.