IEEE802.16e Cell Capacity Including Mobility Management and QoS Differentiation

Peyre, T.; El-Azouzi, Rachid

doi:10.1109/wcnc.2009.4917742

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…In this case, it will be interesting to analyze the system capacity of these networks with the AMC scheme in the future works. In [19,28,30] we completed a performance evaluation for the IEEE802.16e and HSDPA standards. We focused on the effects of the standardized AMC and code partitioning [29] schemes.…”

Section: Discussionmentioning

confidence: 99%

The Uplink Capacity Evaluation of Wireless Networks: Spectral Analysis Approach

Kobbane

El-Azouzi

Ibrahimi

et al. 2010

CIT

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International audienceIn this paper we study the capacity of wireless cellular network, in particular the uplink of WCDMA system by using the two dimensional continuous-time Markov chain (CTMC) technique. Considering two types of calls: real-time (RT) calls characterized by a quasi fixed transmission rate, and best-effort (BE) calls which do not require strict demand but need some reliability conditions, we develop an approach based on the spectral analysis for evaluating the cell capacity. We explicitly obtain the simultaneous distribution of the number of RT connections and the number of BE connections in the steady-state. This analysis allows us to simplify the computation of the performance measures including expected delay and throughput of BE traffic. These performances are obtained explicitly in both cases (finite and infinite) of BE calls as function of system parameters like arrival rate of BE and RT calls, service rate of BE and RT calls. These results allow the operator to evaluate the cell capacity by varying these parameters independently of the number of BE calls according to its policy to manage the network. We further propose some CAC (Call Admission Control) policies for BE traffic. We finally conclude this work with some numerical and simulation results. The simulation results obtained by the network simulator (NS2) are closely related to the numerical results of our analytical results which validate our theoretical model

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Section: Discussionmentioning

confidence: 99%

The Uplink Capacity Evaluation of Wireless Networks: Spectral Analysis Approach

Kobbane

El-Azouzi

Ibrahimi

et al. 2010

CIT

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“…But, given the complexity of the proposed model (size of the state of the Markov chain space), we have considered all these classes into one single class, referred by ‘RT’. Several studies in the literature (like in ) have shown that managing the whole RT for UGS, rtPS and ErtPS, and NRT for nrtPS and BE, as a single class of traffic is enough to guarantee the QoS requirements in an efficient way. The choice of the RT traffic, such as voice and video, is made, based into that class needs a better QoS than the other classes, so more resource management and it is usually delay sensitive.…”

Section: Introductionmentioning

confidence: 99%

Mobility management schemes for real‐time traffic and resource allocation in IEEE 802.16e mobile network

El-Hammani

Ibrahimi

Bouyakhf

et al. 2015

Int J Communication

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SUMMARYIn this paper, our aim is to develop in IEEE802.16e Wireless Networks with link adaptation, in the presence of real-time traffic call admission control (CAC) schemes. These CAC propose various scenarios of resource splitting and handling the intracell mobility. In particular, we consider two types of intracell mobility classes : low mobility class for mobiles moving usually with low speed between the neighboring regions of the cell and high mobility class for those moving with high speed and that can skip more than one region before changing their modulation. For this reason, we assume a time threshold T th that determines the minimum time a call must remain in a region before the base station changes its modulation. And we compare it with the time that a call may spend in a region to decide whether the base station will change its modulation or not. In the beginning, we introduce two CAC schemes. In the first one, we reserve a portion of resources to mobiles in migration with both high and low mobility. And in the second one, we give the priority just to mobiles in migration with high mobility. Then, we calculate the impact in the blocking and dropping probabilities. We show by numerical results that by the proposed CAC schemes, we can find a resource management that outperforms well under different types of mobility. But, to find a good tradeoff between dropping the calls in migration and blocking the new calls, we introduce the optimization problem in the second part. So, we are faced to the necessity of optimizing the results found in the first part. Therefore, we define an objective function to optimize, in order to ensure the highest quality of service for users and to give a better stability state between the dropping and blocking probability. We show that the proposed objective function gives the optimal resources allocation between the migrating and new arriving calls in the cell.

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IEEE802.16e Cell Capacity Including Mobility Management and QoS Differentiation

Cited by 2 publications

References 7 publications

The Uplink Capacity Evaluation of Wireless Networks: Spectral Analysis Approach

The Uplink Capacity Evaluation of Wireless Networks: Spectral Analysis Approach

Mobility management schemes for real‐time traffic and resource allocation in IEEE 802.16e mobile network

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