The CAC Model and QoS Management in Wireless Multiservice Network
نویسندگان
چکیده
Call admission control (CAC) is a key for ensuring the quality of service (QoS) in wireless multiservice network. With the advances in wireless communication technology and the growing interest in deploying multimedia services in wireless networks, the issue of providing an efficient CAC has come to the fore. A suitable CAC for the multimedia service networks is expected to make efficient use of the scarce wireless resource while supporting different services with different QoS metrics. In this paper, we propose a CAC model with four priority levels supporting five classes of service (e.g. UGS, ErtPS, rtPS, nrtPS and BE) in a wireless multiservices network: IEEE 802.16e. The idea is to design an efficient CAC that deals with new and handovers (HO) calls. The proposed model manages to establish priority between new end handover calls. It is assumed that the system operates under a reservation channel scheme and a queuing strategy in order to maintain the HO priority. Our model must maintain a balance between two conflicting requirements: maximise the resource utilisation and minimize the forced handover call dropping rate. In order to maintain the maximum resource utilisation, the maximum number of calls should be admitted into a network which may result in unacceptably high HO call dropping rates due to insufficient resources for HO calls. It is very important to propose a CAC model with reserves the minimum amount of necessary resources to maintain an acceptable HO call dropping and provide high resource utilisation. Keywords-Wireless multiservice network : IEEE 802.16e, CAC, resource allocation, mobility, QoS.
منابع مشابه
Evolutionary Computing Assisted Wireless Sensor Network Mining for QoS-Centric and Energy-efficient Routing Protocol
The exponential rise in wireless communication demands and allied applications have revitalized academia-industries to develop more efficient routing protocols. Wireless Sensor Network (WSN) being battery operated network, it often undergoes node death-causing pre-ma...
متن کاملCall Admission Control Using Constraint Optimization And Probability Techniques Based On Higher Order Markov Model
The next generation wireless network (NGWN) will be heterogeneous which will have different Radio Access Technologies (RATs) operating together. The radio resource management (RRM) is one of the key challenges in (NGWN). The call admission control (CAC) mechanism is one of the radio resource management technique which plays an instrumental role in ensuring the desired QOS to the users, working ...
متن کاملCall Admission Control for Next Generation Wireless Networks Using Higher Order Markov Model
The Next generation wireless networks (NGWN) will be heterogeneous which will have different radio access technologies (RATs) operating together. The Radio Resource Management (RRM) is one of the key challenges in NGWN. The Call admission control (CAC) mechanism is one of the Radio Resource Management technique plays instrumental role in ensuring the desired QoS to the users working on differen...
متن کاملA method to increasing the Quality of Service (QoS) in Wireless body area networks by providing a MAC layer Protocol based of Internet of Things
With the development of technology, the use of wireless telecommunication networks for the various affairs is essential. These networks are one of the safest and most widely used networks, for instance, in medical care and remote patient monitoring. What matters is the quality of service in these networks. The purpose of this paper is to increase packet transduction in a wireless body area netw...
متن کاملHierarchal Grouping Strategy with Adaptive Power Tuning in ZigBee Wireless Sensor Networks
Designing wireless sensor networks should meet appropriate parameters such as quality of service (QoS) defined by different users. The variable physical conditions of the environment, processing and transmission power limitations and limited communication capabilities are the most important obstacles that influence QoS parameters such as throughput, delay, reliability and network lifetime. The ...
متن کامل