Performance Improvement of Data Offloading using Multi-rate IEEE 802.11 WLAN
AbstractThe WiFi offloading has emerged as a solution to mitigate the surge of traffic in cellular networks. The design of WiFi networks and the placement of Access Points (APs) has a considerable impact on the overall performance and the corresponding capital and operational expenditure (CAPEX/OPEX). Therefore, the minimum required number of APs without severe performance degradation is one of the challenges in WiFi offloading. In this paper, we investigate the impact of multi-rate WiFi APs on the offloading performance. A numerical analysis is presented to compare the minimum required number of APs in two modes of single-rate and multi-rate of IEEE 802.11 WLAN. The analysis results indicate the privilege of multi-rate WiFi AP when compared to single-rate WiFi AP. Moreover, the evaluation results show that required WiFi APs in multi-rate are 30% less than single rate WiFi APs.
 Filippo Rebecchi, Marcelo Dias de Amorim, Vania Conan, Andrea Passarella, Raffaele Bruno, and arco Conti, “Data Offloading Techniques in Cellular Networks: A Survey”, 1109/COMST 2014.2369742, IEEE Communications Surveys & Tutorials.
 Eyuphan Bulut,Cisco Systems, Boleslaw K. Szymanski ,Rensselaer Polytechnic Institute,” Efficient Mobile Data Offloading Using WiFi Access Points”, JAN 2013
 L. Korowajczuk, “LTE, WiMAX and WLAN Network Design, Optimization and Performance Analysis”. John Wiley & Sons, 2011.
 L. Hu, C. Coletti, N. Huan, I. Z. Kov´acs, B. Vejlgaard, R. Irmer, and N. Scully, “Realistic indoor wi-fi and femto deployment study as the offloading solution to lte macro networks,” in IEEE Vehicular Technology Conference (VTC Fall), 2012, pp.1–6.
 N. Ristanovic, J.-Y. Le Boudec, A. Chaintreau, and V. Erramilli, “Energy efficient offloading of 3G networks,” in IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS), Valencia, Spain, Oct. 2011, pp. 202–211.
 E. Bulut and B. K. Szymanski, “Wifi access point deployment for efficient mobile data offloading,” in ACM international workshop on Practical issues and applications in next generation wireless networks, Istanbul, Turkey, 2012, pp. 45–50.
 Mehmeti, F., & Spyropoulos, T.” Performance analysis of mobile data offloading in heterogeneous networks:. IEEE Transactions on Mobile Computing, (2017), 16(2), 482-497.
 S. Singh, H. Dhillon, and J. Andrews, “Offloading in heterogeneous networks: Modeling, analysis, and design insights,” IEEE Transactions on Wireless Communications, vol. 12, no. 5, pp. 2484–2497, May 2013.
 K. Lee, J. Lee, Y. Yi, I. Rhee, and S. Chong, “Mobile data offloading: How much can WiFi deliver?” IEEE/ACM Transactions on Networking, vol. 21, no. 2, pp. 536–550, Apr. 2013.
 F. Mehmeti and T. Spyropoulos, “Is it worth to be patient? analysis and optimization of delayed mobile data offloading,” in IEEE INFOCOM, Toronto, ON, Apr. 2014, pp. 2364 – 2372.
 I. Trestian, S. Ranjan, A. Kuzmanovic, and A. Nucci, “Taming the mobile data deluge with drop zones,” IEEE/ACM Transactions on Networking, vol. 20, no. 4, pp. 1010–1023, Aug. 2012.
 C. Lochert, B. Scheuermann, C. Wewetzer, A. Luebke, and M. Mauve, “Data aggregation and roadside unit placement for a vanet traffic information system,” in ACM international workshop on Vehicular Inter-NETworking, San Francisco, CA, 2008, pp. 58–65.
 A. Abdrabou and W. Zhuang, “Probabilistic delay control and road side unit placement for vehicular ad hoc networks with disrupted connectivity,” IEEE Journal on Selected Areas in Communications, vol. 29, no. 1, pp. 129–139, 2011.
 F. Malandrino, C. Casetti, C. Chiasserini, C. Sommer, and F. Dressler, “Content downloading in vehicular networks: Bringing parked cars into the picture,” in IEEE Personal Indoor and Mobile Radio Communications (PIMRC), 2012, pp. 1534–1539.
 Kim, J., Song, N. O., Jung, B. H., Leem, H., & Sung, D. K., “Placement of WiFi access points for efficient WiFi offloading in an overlay network,” In Personal Indoor and Mobile Radio Communications (PIMRC), 2013, pp. 3066-3070.
 G. Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function," IEEE Journal on Selected Areas in Communications, vol. 18, no. 3, pp. 535–547, Mar. 2000.