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forschung:applying_formal_methods_for_qos_provisioning_in_mobile_architectures [2009/09/24 17:00]
barakat
forschung:applying_formal_methods_for_qos_provisioning_in_mobile_architectures [2010/10/07 15:33]
barakat
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 This project focuses on the application of formal methods to model and manage QoS for Network Mobility. {{ :​forschung:​image007.jpg|}}The field of network mobility is gaining ground in telecommunications because of the evolution of broadband technologies and the increasing applications that demand broadband access, e.g. connectivity in public transportation and IMS. Network Mobility is the field that considers sets of mobile devices moving together as one entity with one or more access points which are called mobile routers. These networks are standardized under the IETF-RFC3963 specification also known as NEMO Basic Support, while QoS challenges are described in IETF-RFC4980. NEMO BS is an extension to MIPv6 described under IETF-RFC3775. Mobile routers can possess multiple Radio Access Technologies (RATs) and have to perform real-time operations, e.g. handover, managing binding updates, merging/​splitting mobile networks and managing QoS. The intelligent management of mobility, data streams of different QoS requirements and the available RATs makes the formalization of this problem a necessity due to its complexity. The importance of this study comes from the industry focus on network operator’s IP services, especially IMS. NEMO BS provides a solution for this system and at the same time requires investment in research to improve QoS. This project focuses on the application of formal methods to model and manage QoS for Network Mobility. {{ :​forschung:​image007.jpg|}}The field of network mobility is gaining ground in telecommunications because of the evolution of broadband technologies and the increasing applications that demand broadband access, e.g. connectivity in public transportation and IMS. Network Mobility is the field that considers sets of mobile devices moving together as one entity with one or more access points which are called mobile routers. These networks are standardized under the IETF-RFC3963 specification also known as NEMO Basic Support, while QoS challenges are described in IETF-RFC4980. NEMO BS is an extension to MIPv6 described under IETF-RFC3775. Mobile routers can possess multiple Radio Access Technologies (RATs) and have to perform real-time operations, e.g. handover, managing binding updates, merging/​splitting mobile networks and managing QoS. The intelligent management of mobility, data streams of different QoS requirements and the available RATs makes the formalization of this problem a necessity due to its complexity. The importance of this study comes from the industry focus on network operator’s IP services, especially IMS. NEMO BS provides a solution for this system and at the same time requires investment in research to improve QoS.
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 === Work Plan === === Work Plan ===
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 === Simulating the Protocol ===  === Simulating the Protocol === 
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-For this purpose OPNET Modeler® is being used under university licensing. This simulator contains a huge library of standardized protocols and devices as well as commercial ones, e.g. MIPv6 and mobile routers. The hierarchical structure of components and their modular design shortens the time required to develop own devices and extend particular protocols. ​To complete the required infrastructure for performing simulations the following tasks are ahead +For this purpose OPNET Modeler® is being used under university licensing. This simulator contains a huge library of standardized protocols and devices as well as commercial ones, e.g. MIPv6 and mobile routers. The hierarchical structure of components and their modular design shortens the time required to develop own devices and extend particular protocols. ​[[http://web.embedded.rwth-aachen.de/​opnet/​|<more info>]]
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-  * Create a multi-RAT router on which the NEMO BS protocol is going to be run. Multiple RAT interfaces are necessary to study the effect of access technology switching on ongoing data sessions and to test possible QoS enhancements and strategies. This router shares its network layer between the different RATs by setting MIPv6 on top of Link Layer (LL) and Radio Resource Control (RRC) layers of available RATs. Each RAT will have its own physical, MAC, LL, Radio Link Control (RLC) and RRC of its own. On top of MIPv6 NEMO BS is going to be implemented. This structure allows for unified session management and QoS control. For this research, WiFi, WiMAX and LTE are going to be the RATs of our mobile routers. +
-  * Create core-network components that will provide the required messaging to perform handover and domain administration. These components are described in 3GPP-23.401 and 3GPP-23.402. These specifications describe network structure for different scenarios (homing or visiting) in addition to mobility management, network selection, network access strategies and QoS provisioning. +
-  * NEMO BS has to be modeled using our extensions of π-Calculus. Afterwards, the protocol can be implemented for simulation based on the prototyped model. This has to be done in this order because strong interdependency between simulation and formalization is required for further study purposes. +
-  * Extend MIPv6 to include NEMO BS as described in RFC3963 and according to the prototyped π-Calculus model. To allow code-reuse NEMO BS will be written above an abstraction layer that will integrate it with OPNET. +
-  * Integrate the NEMO BS extension with OPNET. At this point, full functionality of NEMO BS should be available for testing. +
-  * Create test scenarios for use with simulations. These scenarios will be based on the use cases described in 3GPP-22.259. This document describes use-cases for PANs in IMS for which NEMO BS represents a suitable solution. This particular approach has been chosen in order to keep a close to industry requirements. +
-  * Collect baseline measurements against which QoS improvements are going to be evaluated. +
-  * Modify the implementation of NEMO BS to propagate the QoS improvements made using the π-Calculus based model and collect simulation measurements. These measurements will be compared with the baseline results to assess the improvements. In addition, they will be semantically compared to the quantitative attributes of the QoS improved model to see how these results match or differ.+
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