A mobility optimization CRRM approach for Next Generation Wireless Networks

Sabbagh, Abdallah Al; Braun, Robin

doi:10.1109/iccisci.2012.6297102

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…Therefore there is a need for a hybrid RAT selection algorithm (distributed with network assistance) which will provide the UTs some information that assists them during their decision making process to select the most efficient RAT that maximizes their satisfactions and at the same time improve the efficient radio resource utilization. Previously, we have proposed an intelligent mobility optimization RAT selection approach in [14] and an intelligent power efficient RAT selection approach in [15]. In this paper, we extend our earlier work on the proposed intelligent mobility optimization approach in [14] and propose an intelligent hybrid cheapest cost RAT selection approach [16] which also uses the IEEE P1900.4 Protocol [17] to enable communication between the UTs and the different wireless networks.…”

Section: Introductionmentioning

confidence: 94%

“…Previously, we have proposed an intelligent mobility optimization RAT selection approach in [14] and an intelligent power efficient RAT selection approach in [15]. In this paper, we extend our earlier work on the proposed intelligent mobility optimization approach in [14] and propose an intelligent hybrid cheapest cost RAT selection approach [16] which also uses the IEEE P1900.4 Protocol [17] to enable communication between the UTs and the different wireless networks. The proposed approach also aims to improve the RRM in heterogeneous wireless networks.…”

Section: Introductionmentioning

confidence: 94%

“…Distributed RAT selection algorithms do not consider network preferences and policies. In this section, we present the intelligent hybrid RAT selection approach for mobility optimization [14] and propose an intelligent hybrid cheapest cost RAT selection approach which uses the IEEE P1900.4 Protocol [17] Figure 1. A mobility optimization RAT selection approach Different users can be in different velocity types such as low, medium or high mobility.…”

Section: Proposed Intelligent Hybrid Rat Selection Approachesmentioning

confidence: 99%

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Intelligent Hybrid Cheapest Cost and Mobility Optimization RAT Selection Approaches for Heterogeneous Wireless Networks

Sabbagh¹,

Braun²

2014

JNW

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Abstract-The evolution of wireless networks has led to the deployment of different Radio Access Technologies (RATs) such as UMTS Terrestrial Radio Access Network (UTRAN), Long Term Evolution (LTE), Wireless Local Area Network (WLAN) and Mobile Worldwide Interoperability for Microwave Access (WiMAX) which are integrated through a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide the required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. This paper extends our earlier work on the proposed intelligent mobility optimization and proposes an intelligent hybrid cheapest cost RAT selection approach which aims to increase users' satisfaction by allocation users that are looking for cheapest cost connections to a RAT that offers the cheapest cost of service. A comparison for the performance of centralized loadbalancing, proposed and distributed cheapest cost and mobility optimization algorithms is presented. Simulation results show that the proposed intelligent algorithms perform better than the centralized load-balancing and the distributed algorithms.

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 94%

Section: Proposed Intelligent Hybrid Rat Selection Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent Hybrid Cheapest Cost and Mobility Optimization RAT Selection Approaches for Heterogeneous Wireless Networks

Sabbagh¹,

Braun²

2014

JNW

Self Cite

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“…QoS provisioning as well as to provide efficient radio resource utilization.CRRM is defined, in [2], as a platform to gather information from the Base Stations (BS) or Access Point (AP) of different RATs, and to control the resource allocation of all BSs to optimize the overall system performance. HWN present different characteristics in terms of radio resources and mobility management and QoS provisioning.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Following the 3GPP approach, CRRM strategies are considered to jointly manage the radio resources belonging to multiple RATs in an efficient way. In this work we adopt the CRRM architecture introduced by the 3GPP and used in [1][2][3].…”

Section: Accepted Manuscriptmentioning

confidence: 99%