Analysis of Common Radio Resource Management Scheme for End-to-End QoS Support in Multiservice Heterogeneous Wireless Networks

Hasib, Abdul; Fapojuwo, Abraham O.

doi:10.1109/tvt.2007.912326

Cited by 61 publications

(50 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The modulation and coding rate φ varies from 0 (i.e., radio link is very poor for the connection or user is outside the BS's radio coverage) to 4 bit/symbol. The capacity of each BS is randomly selected in the interval [1,10] Msymbol/s.…”

Section: Simulation and Performance Metricmentioning

confidence: 99%

“…Available radio resources of coupled networks will be jointly managed. We hence adopt the CRRM architecture introduced by the 3rd Generation Partnership Project (3GPP) [3] and further used in [4][5][6][7][8][9][10][11]. CRRM is defined as a platform to gather information from the Base Stations (BS) of different RATs, and to control the resource allocation of all BSs to optimize the overall system performance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Load Balancing Algorithm over Heterogeneous Wireless Packet Networks

Nguyen-Vuong

Agoulmine

2011

REV-JEC

View full text Add to dashboard Cite

Abstract-The paper aims at improving the load balancing algorithm in wireless packet cellular networks and particularly in coordinated heterogeneous wireless packet networks. Our main contributions are two-fold. First, we introduce a new approach to compute the network load metric based on the radio link quality and scheduling information, which can be applied to any wireless packet system. This load metric hides the radio resources heterogeneity of different access technologies from the load balancer. Secondly, we propose a new practical load balancing algorithm which provides a more efficient way to manage the scarce radio resources. The proposed approach has been compared with different existing schemes and the results show the superiority of the proposed solution.

show abstract

Section: Simulation and Performance Metricmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient Load Balancing Algorithm over Heterogeneous Wireless Packet Networks

Nguyen-Vuong

Agoulmine

2011

REV-JEC

View full text Add to dashboard Cite

show abstract

“…In [1], the authors provided a case study that illustrated the potential gain offered by CRRM especially in terms of capacity enhancement. In [3], a CRRM scheme that minimizes the vertical handover rate and service cost while achieving the desired quality of service (QoS) was proposed. In CRRM, RAT selection functionality has gained a particular attention in the literature.…”

Section: Introductionmentioning

confidence: 99%

A Revenue-Maximizing Scheme for Radio Access Technology Selection in Heterogeneous Wireless Networks with User Profile Differentiation

Khloussy¹,

Gelabert

Jiang³

2013

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. In this paper, the problem of radio access technology (RAT) selection in heterogeneous wireless networks (HWNs) is tackled from an operator's perspective, with the objective of maximizing the generated revenue. Two user profiles are considered with different priority levels. An integrated 3GPP Long Term Evolution (LTE) and Wireless Fidelity (WiFi) network is considered as an example of HWN, where LTE is used mainly for the high-priority class, while a portion of its resources, defined by a load threshold, can be shared by the low-priority class. A Markovian model is defined and validated by simulation. Subsequently, the value of the load threshold for resource sharing in LTE is investigated, and an optimization problem is formulated to find the optimal threshold for which the revenue is maximized.

show abstract

“…This coexistence of different RATs necessitates joint radio resource management (JRRM) for enhanced Quality of Service (QoS) and better radio resource utilization efficiency. With joint radio resource management in NGWN, mobile users will be able to communicate through one of the available RATs and roam from one RAT to another, using multimode terminals (MTs) [1,[3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…In [6] Hasib et al presented an analysis of common radio resource management scheme for end-to-end QoS support in heterogeneous wireless networks. However, mobile terminal heterogeneity was not considered in the study.…”

Section: Introductionmentioning

confidence: 99%

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

Falowo

Chan

2010

Telecommun Syst

View full text Add to dashboard Cite

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.

show abstract

Analysis of Common Radio Resource Management Scheme for End-to-End QoS Support in Multiservice Heterogeneous Wireless Networks

Cited by 61 publications

References 16 publications

Efficient Load Balancing Algorithm over Heterogeneous Wireless Packet Networks

Efficient Load Balancing Algorithm over Heterogeneous Wireless Packet Networks

A Revenue-Maximizing Scheme for Radio Access Technology Selection in Heterogeneous Wireless Networks with User Profile Differentiation

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

Contact Info

Product

Resources

About