Characterization of Jitter and Admission Control in Multiservice Networks

Houeto, F.; Pierre, Samuel

doi:10.1109/lcomm.2004.823370

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…It is assumed that packet-level QoS is guaranteed by allocating at least the minimum effective bandwidth required to guarantee a given maximum probability on packet drop, delay, and jitter [26].…”

Section: Heterogeneous Network Model and Assumptionsmentioning

confidence: 99%

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Falowo

Chan

2010

Telecommun Syst

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It is envisaged that next generation wireless networks (NGWN) will be heterogeneous, consisting of multiple radio access technologies (RATs) coexisting in the same geographical area. In these heterogeneous wireless networks, mobile terminals of different capabilities (heterogeneous terminals) will be used by subscribers to access network services. We investigate the effect of using heterogeneous mobile terminals (e.g. single-mode, dual-mode, triple-mode, etc.) on call blocking and call dropping probabilities in cooperative heterogeneous wireless networks. We develop analytical models for heterogeneous mobile terminals and joint radio resource management in heterogeneous wireless networks. Using a two-class three-RAT heterogeneous wireless network as an example, the effect of using heterogeneous terminals in the network is evaluated. Results show the overall call blocking/dropping probability experienced by subscribers in heterogeneous wireless networks depends on the capabilities of mobile terminals used by the subscribers. In the worst case scenario, when all subscribers use single-mode mobile terminals, each subscriber is confined to a single RAT and consequently, joint radio resource management in heterogeneous wireless network has no improvement on new call blocking and handoff call dropping probabilities. However, in the best case scenario, when all subscribers use three-mode terminals, new class-1 call blocking probability decreases from 0.37 (for 100% singlemode terminals) to 0.05, at the arrival rate of 6 calls per minute. New class-2 call blocking probability also decreases from 0.8 to 0.52. Similarly, handoff class-1 call dropping probability decreases from 0.14 to 0.003, and handoff class-2 call dropping probability decreases from 0.44 to 0.09.

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Section: Heterogeneous Network Model and Assumptionsmentioning

confidence: 99%

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Falowo

Chan

2010

Telecommun Syst

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Section: System Model and Assumptionsmentioning

confidence: 99%

Dynamic pricing for load‐balancing in user‐centric joint call admission control of next‐generation wireless networks

Falowo

Zeadally

Chan

2009

Int J Communication

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SUMMARYNext-generation wireless networks (NGWN) will be heterogeneous, comprising of a number of radio access technologies (RATs) co-existing in the same geographical area. In NGWN, joint call admission control (JCAC) algorithms are required to select the most appropriate RAT for each incoming call. It is envisaged that these JCAC algorithms will be user-centric (i.e. will consider users' preferences in making RAT selection decisions) in order to enhance user satisfaction. However, user-centric JCAC algorithms can lead to highly unbalanced traffic load among the available RATs in NGWN because users act independently, and most of them may prefer to be connected through a particular RAT. Highly unbalanced traffic load in NGWN will result in high overall call blocking/dropping probability and poor radio result utilization. To address this problem, we propose dynamic pricing for balancing traffic load among available RATs in heterogeneous wireless networks where users' preferences are considered in making RAT selection decisions. By dynamically adjusting the service price in each of the available RATs, the proposed user-centric JCAC scheme evens out the unbalanced traffic load caused by independent users' preferences. The JCAC scheme uses fuzzy multiple attribute decision-making (MADM) technique to select the most appropriate RAT for each incoming call. We develop a Markov model to evaluate the overall call blocking/dropping probability and percentage load in each RAT in heterogeneous wireless networks. Performance of the proposed JCAC scheme is compared with that of a scheme that does not use dynamic pricing. Simulation results are given to show the effectiveness of the proposed JCAC scheme.

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“…In this paper, we are interested on connection-level QoS, more specifically NCBP and HCDP as defined before. We assume that packet-level QoS is stochastically assured by allocating sufficient effective bandwidth to guarantee a given maximal probability on packet drop [9], delay [9] or jitter [10]. For instance, a voice codec G.729 can use reconcealing mechanisms to recover from one packet lost for every 100 packets transmitted.…”

Section: Assumptions and Traffic Parametersmentioning

confidence: 99%

An efficient predictive admission control policy for heterogenous wireless bandwidth allocation in next generation mobile networks

Ali

Pierre

2006

Proceedings of the 2006 International Conference on Wireless Communications and Mobile Computing

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Next generation mobile networks (NGMN) are expected to integrate several heterogenous wireless technologies in order to provide high system capacity and cost effective global service coverage. In this paper we propose an efficient predictive admission control policy for heterogenous wireless bandwidth allocation. We predict well chosen traffic parameters using neural networks and we estimate blocking probabilities using generally distributed traffic models. Furthermore, we use a Tabu search algorithm to find the optimal guard band for a multi-layer heterogenous NGMN. The objective of our multi-layer predictive admission control policy (MLPAC) is to minimize global blocking probability while guaranteeing a hard constraint on handoff dropping probability. It extends the overflow scheme used in two-layer hierarchical cellular systems (HCS) to multiple heterogenous access technologies in NGMN. Presented results show that our MLPAC approach is more efficient in allocating the scarce heterogenous wireless bandwidth to a higher number of accepted connections while maintaining minimal guard bands for horizontal and vertical handoff protection.

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Characterization of Jitter and Admission Control in Multiservice Networks

Cited by 9 publications

References 7 publications

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Dynamic pricing for load‐balancing in user‐centric joint call admission control of next‐generation wireless networks

An efficient predictive admission control policy for heterogenous wireless bandwidth allocation in next generation mobile networks

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