Abstract

With the increasing demand for data traffic and with the massive foreseen deployment of the Internet of Things (IoT), higher data rates and capacity are required in mobile networks. While Heterogeneous Networks (HetNets) are under study toward 5G technology, Wireless Fidelity (WiFi) Access Points (APs) are considered a potential layer within those multiple Radio Access Technologies (RATs). For this purpose, we have proposed in this paper a novel WiFi dimensioning method, to offload data traffic from Long Term Evolution (LTE) to WiFi, by transferring the LTE energy consuming heavy users, to the WiFi network. First, we have calculated the remaining available capacity of the WiFi network based on the estimated load of each WiFi physical channel using the overlapping characteristic of the channels. Then, we were able through this dimensioning method, to calculate the minimum needed number of WiFi APs that ensure the same or better throughput for the LTE transferred users. By this method, we have ensured additional capacity in the LTE network with minimum investment cost in the WiFi network. Finally, we have estimated the profit sharing between LTE and WiFi by considering data bundles subscription revenues and the infrastructure capital and operational costs. We have calculated for each network the profit share using a coalition game theory Shapley value that pinpoints the benefit of the cooperation using the proposed dimensioning method.

Highlights

  • With the increasing demand for wireless communication technologies and data traffic, the main limitation in mobile networks is the lack of available licensed spectrum

  • We consider in our simulations, an Long Term Evolution (LTE) FDD system for one eNB cell operating in 1800 MHz with an available bandwidth of 10 MHz [8] [16]

  • The Wireless Fidelity (WiFi) network is based on 802.11n system that operates in 2.5 GHz bandwidth with 12 overlapped channels on the physical layer [9]

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Summary

Introduction

With the increasing demand for wireless communication technologies and data traffic, the main limitation in mobile networks is the lack of available licensed spectrum. This paper proposes a novel method of dimensioning the WiFi network to offload the LTE This method calculates the minimum needed number of WiFi APs based on the estimated average available capacity of the WiFi overlapped physical channels, the available capacity of the WiFi network. The selection of the LTE transferred users is not random Instead, it is based on the users with heavy data consumption depending on the requested throughput and transmitted power, so the minimum needed number of WiFi APs is calculated to cope with the traffic of those transferred users as previously described. The offloading decision is not random or based on the probability of WiFi channels occupation or on the Channel State Information (CSI) either Instead, it is based on the exact information sent by the WiFi network informing the LTE eNB about its remaining average capacity. WiFi APs remaining capacity calculation, and it is based on the remaining throughput of each WiFi AP based on the average occupation or load value of the physical channels

Problem Formulation
Available WiFi Capacity
Dimensioning of the WiFi Network
Profit Estimation
The Shapley Value
Profit Sharing Using Shapley Value
Profit Sharing
Simulation Results and performance Evaluation
Conclusions
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