Pricing Incentive Mechanism Supporting Load Balancing for QoS-Enabled Networks

Gu, Chengjie; Zhuang, Shunyi; Sun, Yuqing; Liu, Chao; Sun, Ningning

doi:10.1109/icbecs.2010.5462487

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…After performing all the required configuration at all the routers and checking the communication between the devices the result can be studied and analyzed [3]. In order to test the result of the work carried out the interface to the destination router R1 is intentionally closed or disconnected [7].…”

Section: Load Balancing Mechanismmentioning

confidence: 99%

“…The use of multiple path or multiple gateways at the same time in network will help us to balance or distribute the entire load of the network intelligently. The ultimate aim of load balancing in network is to provide high availability in network [3]. In order to achieve high availability a protocol that has the capacity to use multiple paths at the same time needs to be used.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Network Traffic Load Balancing In Gateways

Jopxon¹,

Soman²

2014

IOSRJCE

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Section: Load Balancing Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Network Traffic Load Balancing In Gateways

Jopxon¹,

Soman²

2014

IOSRJCE

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A refunding strategy: opportunistic user association with congestion-based pricing in macro-femto hybrid network

Wang

et al. 2017

J Wireless Com Network

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Femtocell technology addresses the severe problems of poor network capacity and indoor coverage. Meanwhile, the emergence of high-capacity air interfaces and dense deployment of small cells result in increasingly high backhaul cost in cellular wireless networks. Purchasing on leased lines can guarantee the service provision during busy hours, however, purchased capacity goes to waste in off-peak time. Hybrid mode is the most promising one among all femtocell access modes which allows macro users to associate with adjacent femtocells with idle bandwidth resources. Femto holder (FH) is egoistic and unwilling to share bandwidth with transferred users from macrocells without any compensation, thus the successful implementation of hybrid access becomes a challenging problem. In this paper, we present an economic refunding framework to motivate hybrid access in femtocells. Macro users can opportunistically associate with adjacent femtocells with excess backhaul capacity. FH can receive certain refunding from wireless service provider (WSP) in exchange for traffic offloading. FH employs congestion pricing policy so as to control the cell load in the femtocell. Within this framework, we design a general utility maximization problem for user association that enables macro users to associate with femtocells based on traffic status, cell load, and access price. Dual decomposition is used to obtain an approximate solution. The impact of congestion pricing on the aggregate throughput and load balancing is also analyzed. Extensive simulations show the proposed scheme achieves a remarkable throughput gain compared with that with no compensation and compensation with usage-based pricing policy. Load balancing is substantially improved as well.

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Pricing Incentive Mechanism Supporting Load Balancing for QoS-Enabled Networks

Cited by 2 publications

References 10 publications

Network Traffic Load Balancing In Gateways

Network Traffic Load Balancing In Gateways

A refunding strategy: opportunistic user association with congestion-based pricing in macro-femto hybrid network

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