QoS Management and Congestion Control in Wireless Hotspots

Tartarelli, S.; Nunzi, Giorgio

doi:10.1109/noms.2006.1687542

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…Here the problem is to compare the various types of control using simulation. In the simulation study, we consider that the multimedia application requires an average throughput AP1 AP2 1 Mbps 2 5.5 11 0 1 2 3 4 5 6 7 8 9 10 of 380 Kbps [10]. In order to satisfy the QoS requirement of applications, we limited number of users to be associated with one AP to Nmax = 60 and give it a weight (w1) that used for class 1 (it request bandwidth of 380 Kbps) equal to 3.8 and weight (w2) that used for class 2 equal to 1.…”

Section: Partial Sharing: Psmentioning

confidence: 99%

Bandwidth management for hybrid association control schemes and load balancing inWLANs

Jantaweetip

Prommak

2009

2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolog

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This paper present a hybrid association control scheme (HA) managements that can support real-time multimedia application. We propose 3 ways of hybrid association control managements, Complete Sharing (CS), Complete Partitioning (CP), and Partial Sharing (PS) schemes. The percentage of blocking was used as performance index to compare the quality of service in WLAN. Simulation results show that the proposed schemes can satisfy the quality of service requirements of the multimedia traffic applications.

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Section: Partial Sharing: Psmentioning

confidence: 99%

Bandwidth management for hybrid association control schemes and load balancing inWLANs

Jantaweetip

Prommak

2009

2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolog

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“…The work in [13] already proposed a framework for congestion control in WLANs, but, again, it relied on a centralized architecture: its aim was the support of business models where user profiles where considered in the load balancing algorithm. A further extension has been proposed in [14] for the support of QoS extension in WLANs.…”

Section: B Related Work In Load Balancing Of Wlansmentioning

confidence: 99%

“…It is efficient, because it can redistribute the load online and without a costly re-planning of the network: adding intelligence in the network is always cheaper than touching physical components. This justifies why recently a lot of work appeared about implementations of load balancing for wireless networks [1 1]]1 [12]1 [13].…”

Section: B Related Work In Load Balancing Of Wlansmentioning

confidence: 99%

“…The first one is to achieve full load balancing in the network, like proposed in [12]: if two base stations show different load, then this mechanism distributes as much as possible the load among neighboring base stations. The second goal is limited to perform congestion control, like in [13]: load is only transferred from a base station to another if it is near the maximum load admitted for that specific base station. In considering a choice between the two mechanisms, we should keep in mind that load distribution, independently from the goal achieved, does not come without side effects.…”

Section: A Goals and Control Spacementioning

confidence: 99%

“…As proposed in [12] and [13], the radio resource control relies on the cell-breathing technique to move the load between APs. It means the control knob is the radio cell coverage area, but it does not have knowledge of the position of the users.…”

Section: A Goals and Control Spacementioning

confidence: 99%

See 2 more Smart Citations

Design and Evaluation of Distributed Load-Balancing for Wireless Networks

Nunzi¹,

Schuetz²,

Brunner³

2007

2007 10th IFIP/IEEE International Symposium on Integrated Network Management

Self Cite

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Self-confi'guration is regarded a key instrument to increase the efficiency of many management tasks. This work proposes and investigates the application of self-configuring mechanisms to decentralized network management in wireless networks. In particular, the load balancing function has been recently investigated and in this work we consider a distributed algorithm that can be executed autonomously by each Access Point. The contribution of this work, besides the definition of the algorithm, consists in an extensive evaluation of its performance. In particular, we study how the main issues in distributed selfconfi'guring applications (namely stability, convergence, and overhead) can be controlled.I.

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A Portable Wireless-Based Architecture for Solving Minimum Digital Divide Problems

Fenu

Piras

2008

2008 the Fourth International Conference on Wireless and Mobile Communications

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In today's society digital services have become the key to the success of anyone. Hence, for being competitive it is important that these services are available, employ the latest technology and are low cost. Unfortunately, it often happens that these good intentions do not correspond to reality. In this paper an information system is proposed, targeted at those small realities affected by the digital divide and at those companies that employ out of date, high cost technologies, that provides data and voice services in a unified manner using heterogeneous devices. The system utilizes innovative technologies, in particular wireless technology, to deliver low cost solutions. The distinctive feature is that it does not depend on the network hardware infrastructure and the underlying platform. Furthermore, it deals with the configuration, accounting, security, management, and monitoring aspects while maintaining its flexibility and simplicity of use both for the administrator and end user.

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QoS Management and Congestion Control in Wireless Hotspots

Cited by 9 publications

References 11 publications

Bandwidth management for hybrid association control schemes and load balancing inWLANs

Bandwidth management for hybrid association control schemes and load balancing inWLANs

Design and Evaluation of Distributed Load-Balancing for Wireless Networks

A Portable Wireless-Based Architecture for Solving Minimum Digital Divide Problems

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