Scalability study of backhaul capacity sensitive network selection scheme in LTE-wifi HetNet

Alvin Ting, David Chieng, Kae Hsiang Kwong, Ivan Andonovic, K. D. Wong

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Wireless Heterogeneous Network (HetNet) with small cells presents a new backhauling challenge which differs from those of experienced by conventional macro-cells. In practice, the choice of backhaul technology for these small cells whether fiber, xDSL, point–to-point and point-to-multipoint wireless, or multi-hop/mesh networks, is often governed by availability and cost, and not by required capacity. Therefore, the resulting backhaul capacity of the small cells in HetNet is likely to be non-uniform due to the mixture of backhaul technologies adopted. In such an environment, a question then arises whether a network selection strategy that considers the small cells’ backhaul capacity will improve the end users’ usage experience. In this paper, a novel Dynamic Backhaul Capacity Sensitive (DyBaCS) network selection schemes (NSS) is proposed and compared with two commonly used network NSSs, namely WiFi First (WF) and Physical Data Rate (PDR) in an LTE-WiFi HetNet environment. The proposed scheme is evaluated in terms of average connection or user throughput1and fairness among users. The effects of varying WiFi backhaul capacity (uniform and non-uniform distribution), WiFi-LTE coverage ratio, user density and WiFi access points (APs) density within the HetNet form the focus of this paper. Results show that the DyBaCS scheme generally provides superior fairness and user throughput performance across the range of backhaul capacity considered. Besides, DyBaCS is able to scale much better than WF and PDR across different user and WiFi densities.
LanguageEnglish
Number of pages26
JournalTransactions on Emerging Telecommunications Technologies
Early online date27 Jan 2016
DOIs
Publication statusE-pub ahead of print - 27 Jan 2016

Fingerprint

Heterogeneous networks
Computer networks
Scalability
Macros
Wireless networks
Throughput
Availability
Fibers
Costs

Keywords

  • heterogeneous networking
  • network selection
  • traffic offload
  • backhaul capacity
  • LTE
  • WiFi

Cite this

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title = "Scalability study of backhaul capacity sensitive network selection scheme in LTE-wifi HetNet",
abstract = "Wireless Heterogeneous Network (HetNet) with small cells presents a new backhauling challenge which differs from those of experienced by conventional macro-cells. In practice, the choice of backhaul technology for these small cells whether fiber, xDSL, point–to-point and point-to-multipoint wireless, or multi-hop/mesh networks, is often governed by availability and cost, and not by required capacity. Therefore, the resulting backhaul capacity of the small cells in HetNet is likely to be non-uniform due to the mixture of backhaul technologies adopted. In such an environment, a question then arises whether a network selection strategy that considers the small cells’ backhaul capacity will improve the end users’ usage experience. In this paper, a novel Dynamic Backhaul Capacity Sensitive (DyBaCS) network selection schemes (NSS) is proposed and compared with two commonly used network NSSs, namely WiFi First (WF) and Physical Data Rate (PDR) in an LTE-WiFi HetNet environment. The proposed scheme is evaluated in terms of average connection or user throughput1and fairness among users. The effects of varying WiFi backhaul capacity (uniform and non-uniform distribution), WiFi-LTE coverage ratio, user density and WiFi access points (APs) density within the HetNet form the focus of this paper. Results show that the DyBaCS scheme generally provides superior fairness and user throughput performance across the range of backhaul capacity considered. Besides, DyBaCS is able to scale much better than WF and PDR across different user and WiFi densities.",
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Scalability study of backhaul capacity sensitive network selection scheme in LTE-wifi HetNet. / Ting, Alvin; Chieng, David; Kwong, Kae Hsiang; Andonovic, Ivan; Wong, K. D.

In: Transactions on Emerging Telecommunications Technologies, 27.01.2016.

Research output: Contribution to journalArticle

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AU - Chieng, David

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AU - Andonovic, Ivan

AU - Wong, K. D.

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