WiFi Dimensioning to offload LTE in 5G Networks

On the road towards 5G, a proliferation of Heterogeneous Networks (HetNets) is expected. Long Term Evolution (LTE) and Wireless Fidelity (WiFi) cooperation is needed in order to ensure a balanced traffic load based on different criteria so that the end user will benefit from the maximum throughput with no disturbance or deterioration in the service quality. Thus, alternative plans for exploiting already existing under-utilized WiFi infrastructure become more attractive than expanding the LTE spectrum or increasing the capacity by deployment of additional LTE Base Stations (BSs). To find a more effective spectrum utilization method, alleviate the spectrum scarcity problem of cellular networks and ensure additional capacity, we propose in this paper a solution to calculate the minimum needed number of WiFi Access Points (APs) that will be able to handle the transferred heavy users from LTE advanced (LTE-A) to WiFi. The dimensioning method that we propose in this paper is based on the remaining available capacity of WiFi channels taking into consideration the overlapping characteristics of the physical channels to estimate the percentage of busy time or occupation of the AP channels. Based on this approach, we can investigate first the remaining available capacity in terms of available throughput of WiFi that could be distributed over the transferred LTE users, then the minimum required number of WiFi APs that will be supporting the LTE network for efficient traffic offloading.

[1]  Geoffrey Ye Li,et al.  Rethinking Mobile Data Offloading for LTE in Unlicensed Spectrum , 2016, IEEE Transactions on Wireless Communications.

[2]  Christian Wietfeld,et al.  An accurate measurement-based power consumption model for LTE uplink transmissions , 2013, 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[3]  Guoliang Xing,et al.  Efficient WiFi deployment algorithms based on realistic mobility characteristics , 2010, The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010).

[4]  Kishor Pratap Singh,et al.  Throughput Computation of LTE-A Network for Urban Area , 2014 .

[5]  Danielle Saliba,et al.  OVERLAPPED PHYSICAL CHANNELS LOAD MEASUREMENT IN 802.11 NETWORKS , 2017 .

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

[7]  Abbas Jamalipour,et al.  Traffic offloading for 5G: L-LTE or Wi-Fi , 2017, 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[8]  Dan Keun Sung,et al.  Placement of WiFi access points for efficient WiFi offloading in an overlay network , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[9]  Leandros Tassiulas,et al.  C2M: Mobile data offloading to mesh networks , 2014, 2014 IEEE Global Communications Conference.

[10]  Yupeng Wang,et al.  Self-Optimization of Downlink Transmission Power in 3GPP LTE-A Heterogeneous Network , 2012, 2012 IEEE Vehicular Technology Conference (VTC Fall).

[11]  Pierre Bertrand,et al.  Channel Gain Estimation from Sounding Reference Signal in LTE , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).