CAC Negotiation Algorithm Proposal for Higher QoS in Heterogeneous Wireless Networks

Djukanovic, Goran; Gospic, Natasa; Šunjevarić, Milan

doi:10.1109/telsks.2007.4375928

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…In this paper, in order to test A2 algorithm characteristics and degradation properties as well, which was proposed in [4], we have tested it in simulation and compared it with earlier proposed algorithm A1 [3].…”

Section: Resource Utilization Planning and System Modelmentioning

confidence: 99%

Measuring the Characteristics of DG CAC Algorithm

Đukanović¹,

Šunjevarić

Gospic

2011

JITA

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Users today expect email and instant messaging access, surf, video games and other services through mobile broadband access networks. In order to support this increasing data traffi c, advanced resource management has to be implemented. As CAC (Call Admission Control) algorithm plays an important role in this resource management, comparing of two proposed call admission control algorithms has been done in this paper. Algorithms are tested in simulation environment, for two different periods of time. They showed expected characteristics in both 1000 and 10000 seconds periods, and newly proposed DG CAC algorithm showed better results than other algorithm, in number of handover requests, and in the way of returning resources to degraded connections.

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Section: Resource Utilization Planning and System Modelmentioning

confidence: 99%

Measuring the Characteristics of DG CAC Algorithm

Đukanović¹,

Šunjevarić

Gospic

2011

JITA

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“…If the values of the parameters reach or exceed the static and dynamic thresholds defined in advance, new calls will be prohibited from or postponed entering the network until the values of the parameters return back to the normal range. [3,4].…”

Section: Introductionmentioning

confidence: 99%

Call admission control scheme with normalized quality of service metric in IEEE 802.16 networks

Zhou

Liu

Su³

2012

Wirel. Commun. Mob. Comput.

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IEEE 802.16 network introduces a multimedia data scheduling service with different quality of service (QoS) requirements. The scheduling service manages transmission resources according to data types, satisfying the requirements of different connections or users. On the basis of the data types defined in the service, we discuss a normalized QoS metric for the multimedia connections in the paper. The QoS value of a connection can be determined just by three components: the data type of the connection, its desired resources, and its allocated resources. Then, we propose an optimum bandwidth allocation solution, which can maximize the utility of base station. Next, we propose a call admission control scheme utilizing the bandwidth allocation solution. In the scheme, the occupied resource of ongoing connections will be regulated for the entry admission of a new connection, without degrading the network performance and the QoS of ongoing connections. Finally, the simulation results confirm that the proposed scheme with the normalized QoS can achieve better trade-off between ongoing connections and new connections. CAC scheme with normalized QoS metric Guizhong Liu received his BS and MS degrees in computational mathematics from Xi'an Jiaotong University, Xi'an, China, in 1982 and 1985, respectively, and his PhD degree in mathematics and computing science from Eindhoven University of Technology, Eindhoven, The Netherlands, in 1989. He is currently a full professor at the School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an. China. His research interests include non-stationary signal analysis and processing, image processing, audio and video compression, and inversion problems. Rui Su received his BS degree from the National University of Defense Technology, Changsha, China, in 1996, and his MS and PhD degrees from Xi'an Jiaotong University, China, in 2004, 2008, respectively. Currently, he is a senior engineer at Xi'an Satellite Control Center. His research interests include video compression techniques, rate control and communication, image analysis and processing, VLSI architecture, and implementation for video technology and multiprocessor system.

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