MétaCan
Menu
Retour à la cohorte
Enregistrement W2158962077 · doi:10.1109/vetecf.2005.1559020

Load sharing with buffering over heterogeneous networks

2006· article· en· W2158962077 sur OpenAlexaff
Danyan Chen, Xiaofeng Wang, A.K. Elhakeem

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineComputer Science
ThématiqueWireless Communication Networks Research
Établissements canadiensConcordia University
Organismes subventionnairesnon disponible
Mots-clésComputer scienceComputer networkUMTS frequency bandsHeterogeneous networkRadio resource managementWireless networkRadio access networkRoamingWireless WANCellular networkWi-FiUMTS Terrestrial Radio Access NetworkWirelessDistributed computingWi-Fi arrayBase stationTelecommunicationsMobile station

Résumé

récupéré en direct d'OpenAlex

By most predictions, fourth-generation (4G) wireless systems will be composed of heterogeneous networks. Two important constituent networks will be Wireless LAN (WLAN) and cellular mobile radio systems (e.g., UMTS). WLAN is designed for low-range, high/medium-data-rate access and can be used as a complement to the larger cellular systems. In this paper, a general analytical model for load sharing in heterogeneous networks is proposed. Both networks have the capability of buffering call request. This model provides more insights of the behavior of the heterogeneous networks and allows an accurate examination on the effects of various system parameters on performance. In addition, three load sharing schemes are proposed for the integrated UMTS/WLAN system. Numerical results are provided to verify the usefulness of the proposed model and to compare the three sharing schemes in terms of performance. I. INTRODUCTION Establishing unified heterogeneous wireless networks including a set of different technologies and standards is a main feature of the fourth-generation (4G) mobile radio systems (1)(2). Conceptually, a 4G wireless network architecture can be viewed as many overlapping wireless Internet access domains. Different radio access networks have their own properties. High-tier systems such as Universal Mobile Telecommunication System (UMTS) provide high mobility but with less data transmission bandwidth (3). Low-tier systems such as wireless local area network (WLAN) provide high/medium data rate, in general, low mobility. Hot-spot areas are normally covered by both high-tier and low-tier systems, in which low-tier systems are complement to high-tier systems. In the heterogeneous networking environment considered in this paper, low-tier systems are built to provide additional bandwidth at a hot area and shares the traffic load of high-tier systems. Beside this, low-tier systems have their own traffic load. UMTS and WLAN will be taken as the examples for high- and low-tier systems. Various interworking strategies of the heterogeneous networks have been presented in the literature (4)-(6). To date, the main research attention has been given to the interworking functionalities, the architecture and signaling, etc. In order to efficiently utilize radio resource, a practical radio resource management of the heterogeneous networks, e.g., a load sharing scheme, has to be considered and optimized. However, the optimization of the support of the quality of service (QoS) over such infrastructures are either largely ignored or carried out by simulations only due to the lack of an analytical model. In order to gain deeper understanding of the system behavior and to analyze and compare the performance of using different load sharing schemes, an analytical model is necessary. In this paper, we first propose a general analytical model to quantify the performance of a load sharing heterogeneous networking environment. The traffic loads and QoS's of both of the systems are taken into account. To accommodate more users' call requests, both systems have the capability of buffering congested call request. Based on this general analytical model, the performance metrics including the call blocking probabilities, buffering probabilities and bandwidth usages, etc., of both systems with various load sharing schemes applied can be obtained. The effects of the system parameters, such as the traffic intensity and buffer size of each system, on the overall performance of the heterogeneous networks can be found analytically. In this paper, the objective of the load sharing in the heterogeneous networks is to improve the capacity of the UMTS network while maintaining the QoS of WLAN users. Three load sharing schemes, i.e., block balancing (BB), fully sharing (FS) and reserved sharing (RS), are proposed. The overall performance of the UMTS/WLAN networks for each load sharing scheme is investigated. Numerical results demonstrate that BB and RS provide better overall performance than FS. When both of the two networks are heavily loaded, BB is a better choice. Increasing the buffer size in UMTS can effectively improve the overall performance if the call blocking probability is the main concern. The effects of additional system parameters, such as maximum allowed sharing channels, and the WLAN coverage, will be studied. II. SYSTEM OVERVIEW A. Interworking architecture In this paper, we consider real-time traffics that require dedicated radio resource. A WLAN acts as a cooperating system and is built to provide additional radio resource at a hot spot area. The analysis of WLAN involved in this study will be focused on Point Coordinator Function (PCF) in the infrastructure IEEE 802.11 WLAN. A mobile host (MH) requiring performance guarantees from WLAN is required to set up a logical channel (LCH) with the point coordinator (PC). The maximum number of LCH is calculated and kept by the PC.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,926
Score d'incertitude au seuil0,400

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0020,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,245
Écart entre enseignants0,231 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2006
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetWireless Communication Networks ResearchTravaux en français237 207