Abstract

Network densification is attracting increasing attention recently due to its ability to improve network capacity by spatial reuse and relieve congestion by offloading. However, excessive densification and aggressive offloading can also cause the degradation of network performance due to problems of interference and load. In this paper, with consideration of load issues, we study the optimal base station density that maximizes the throughput of the network. The expected link rate and the utilization ratio of the contention-based channel are derived as the functions of base station density using the Poisson Point Process (PPP) and Markov Chain. They reveal the rules of deployment. Based on these results, we obtain the throughput of the network and indicate the optimal deployment density under different network conditions. Extensive simulations are conducted to validate our analysis and show the substantial performance gain obtained by the proposed deployment scheme. These results can provide guidance for the network densification.

Highlights

  • We are embracing a booming era of information technology, where all people and industries are powered to reach their full potential

  • We consider a two-tier heterogeneous networks consisting of the macro base stations (MaBSs) tier and the small base stations (SmBSs) tier (e.g., WLAN)

  • It is observed that SmBS density influences the link rate of the heterogeneous network and impacts the utilization of the channel

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Summary

Introduction

We are embracing a booming era of information technology, where all people and industries are powered to reach their full potential. The technical reports from Ericsson and Qualcomm [1,2] predicted that the number of devices connected to wireless networks would soar to 28 billion by 2021 and the mobile data traffic in 2020 will be 1000 times greater than that of the 2010 baseline. These trends show a high traffic density in the near future. It reduces the number of users competing for communication resources and improves the service quality Acknowledging these advantages, researchers are studying the multi-tier heterogeneous networks (HetNets) to implement network densification, where different radio access technologies (RATs) working in both licensed and unlicensed spectrums coexist

Motivation and Related Work
Contributions
System Model
Distribution of BSs in HetNets
Channel Access Mode of the MaBS Tier
Channel Access Mode of the SmBS Tier
The Expected Link Rate of the SmBS Tier
Distribution of the Distance from a User to Its Serving BS in the SmBS Tier
Probability of a User Connecting to the SmBS Tier
Interference Distribution in the SmBS Tier
Throughput of MAC Layer in SmBS Tier
Analysis of the Channel Load
Throughput Analysis of an SmBS Cell
The Fairness of the Tier Association
Numerical Results and Discussion
Effect of SmBS Density on the Link Rate
Effect of SmBS Density on the Channel Efficiency
The Areal Throughput of HetNets and the Optimal Deployment Scheme
The Throughput of an SmBS and the Optimal Deployment Scheme
Conclusions
Full Text
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