1 / 25

Kostas Tsagkaris N.Koutsouris, A.Galani, P.Demestichas

Performance Assessment of a Spectrum and Radio Resource Management Architecture for Heterogeneous Wireless Networks. Kostas Tsagkaris N.Koutsouris, A.Galani, P.Demestichas Telecommunication Networks & Integrated Services Lab Dept of Digital Systems, University of Piraeus, Piraeus, Greece.

calix
Télécharger la présentation

Kostas Tsagkaris N.Koutsouris, A.Galani, P.Demestichas

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Performance Assessment of a Spectrum and Radio Resource Management Architecture for Heterogeneous Wireless Networks Kostas TsagkarisN.Koutsouris, A.Galani, P.Demestichas Telecommunication Networks & Integrated Services Lab Dept of Digital Systems, University of Piraeus, Piraeus, Greece

  2. Outline • Motivation, problem area • Overview of considered S&RR management architecture • Research approach, methodology • Information flow definition • Experimentation platform setup • Indicative scenario & results

  3. (Cognitive) Base Station … (Cognitive) Access Point Motivation, problem area • Disparate emerging landscape – heterogeneous wireless networks

  4. ? RAT? spectrum? frequency? radio resources? … ? ? ? … ? ? ? RAT? spectrum? frequency? radio resources? … RAN/RAT? spectrum? frequency? radio resources? … ? ? ? ? ? Motivation, problem area (cont.) • How to optimally select and use spectrum and radio resources? (Cognitive) Base Station (Cognitive) Access Point

  5. Motivation, problem area (cont.) • The IEEE/SCC41 P1900.4 Working Group was born to solve the problem • In Jan 2009, the group has standardised [*] a management architecture (System/Functional Architecture + Information model) for efficiently managing cognitive/heterogeneous wireless networks and terminals • Little work on the performance assessment of 1900.4 standardised architecture so far • This work places focus on the assessment of signalling load/delays that the management architecture causes to the network that it operates in. [*] IEEE Std 1900.4™-2009, IEEE Standard for Architectural Building Blocks Enabling Network-Device Distributed Decision Making forOptimized Radio Resource Usage in Heterogeneous Wireless Access Networks

  6. Overview of 1900.4: System Architecture …

  7. RAN context information: • RAN radio resource optimization objectives • RAN radio capabilities • RAN measurements • RAN transport capabilities • Radio Resource selection policies Overview of 1900.4: Interfaces RAN context information Spectrum Assignment Policies … • Terminal context information: • User preferences • Required QoS levels per application • Terminal capabilities • Terminal measurements • Terminal geo-location information • Geo-location based terminal measurements RAN context information

  8. Overview of 1900.4: Functional Architecture • Focus on the NRM Functional architecture …

  9. … Overview of 1900.4: Functional Architecture • …Focus on NRM • .... and particularly, on the interfaces among NRM and its external entities

  10. Research approach, Methodology Methodology: • Define the exact information flowing in the above interfaces • Parameters • Setup experimentation platform for the performance assessment of the management architecture • 1900.4 architecture implementation based on distributed agents • Performance assessment • Indicative scenarios • Results w.r.t. measured signalling load/delays

  11. … Definition of information flow – Example

  12. … Experimentation platform • After identifying and describing the exact info to be conveyed… • Setup a platform to experiment on a IEEE 1900.4-based architecture, functionality and interfaces • Multi-agent environment based on JADE (Java Agents DEvelopment framework) • fully JAVA and FIPA compliant framework for developing distributed agent systems • Agents act as high level interfaces between the involved entities and the environment and ensure their communication through the asynchronous exchange of messages (according to the FIPA ACL message structure specification)

  13. Experimentation platform (cont.) • In order to carry out the experiments in the JADE based platform: • A set of messages have been defined • structures that contain the defined parameters • proper message names • These messages are then encapsulated in the ACL messages according to the FIPA specifications and in order to flow within the agent platform • Overhead in the total number of bytes that are conveyed for management reasons is taken into account

  14. Indicative scenario – Description • Heavy loaded RAN situation • Trigger for RAN reconfiguration • Messages (parameters) are exchanged until all MTs will be informed about the new RAN context and are provided with the newpolicies Objective: Measurement of signalling load and time delays induced to the managed network

  15. Indicative scenario – Description (cont.) • RAN becomes overloaded and sends a Context&ConfigurationNotification message to the NRM. • Information Collection & Processing Function sends to every other RAN that covers the same geographical area a Context&ConfigurationRequest message, so as to receive the corresponding Context&ConfigurationResponse with the network status information • SpectrumEvaluationFunction detects that a spectrum reallocation may be necessary, so it sends the evaluation results to OSM agent with SpectrumUsageEvaluation • OSM agent sends to NRM the new allocation of the available frequencies to RATs with NewSpectrumAssignment message.

  16. Indicative scenario – Description (cont.) • Network Reconfiguration Decision & Control Function makes the decision on how the overloaded RAN should be reconfigured • NRM sends ReconfigurationRequest message to the RAN • RAN sends to the NRM a ReconfigurationExecutionNotification message after reconfiguration takes place • NRM derives new policies (Policy Derivation Function) and sends them together with new RAN context information to MTs using NetworkStatus&Policies message

  17. Results - Bandwidth calculation Bandwidth needed for management • The management burden is low, providing evidence on the viability of the architecture • Of special importance are the results concerning the NRM – MT interface since it is the interface encompassing the air-interface

  18. Results – Reaction time of the NRM • Focus is now placed on the “NRM reaction time” i.e. time that the NRM, needs in order to resolve a problematic situation • Dependence on • the number of APs in the area • the number of active MTs • processing power of the machine where the algorithmic part of the described functionality is executed • Focus on the influence of the number of APs and MTs.

  19. Results – Reaction time of the NRM (cont.) Influence on the management reaction time of the number of APs and MTs in the area • The general outcome drawn is that the architecture is able to optimize efficiently areas encompassing several APs and a high number of MTs as well • The dependence on the number of the involved APs is greater than the dependence on the number of MTs that exist in the area

  20. Results – Handling a large number of connected MTs • Handling a large number of connected MTs • Focus on the ”Informing time (delay)” = the time needed to inform all the interested MTs about the new network status and policies

  21. Results – Handling a large number of connected MTs (cont.) Time needed to inform all interested MTs about the new network status and policies • Less than 1 sec is needed in most of the cases, confirming that the management information flow will not be blocked or bottlenecked and that the MTs will obtain all the necessary information in time

  22. Conclusion and outlook • An experimentation platform was setup to assess the performance of a IEEE 1900.4-based management architecture • The platform is based on distributed agents implemented in the Java Agents Development (JADE) framework • Indicative scenario and results show that the signaling and time delays induced into the managed network will not aggravate the overall network operation

  23. Further reading [1] A.Galani, K.Tsagkaris, N.Koutsouris, P.Demestichas, “Design and Assessment of Functional Architecture for Optimized Spectrum and Radio Resource Management in Heterogeneous Wireless Networks”, International Journal of Network Management, to appear [2] S.Buljore, H.Harada, P.Houze, K.Tsagkaris, et al., “Architecture and Enablers for Optimised Radio Resource usage: The IEEE P1900.4 Working Group” Communications Magazine, IEEE, Vol 47, no. 1, pp. 122-129, January 2009 [3] IEEE Std 1900.4™-2009, IEEE Standard for Architectural Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks, Jan. 2009 [4] IEEE Standards Coordinating Committee 41 (SCC41),http://grouper.ieee.org/groups/scc41/

  24. Acknowledgment This work was performed in the project E³ which has received research funding from the Community's Seventh Framework programme. This paper reflects only the authors' views and the Community is not liable for any use that may be made of the information contained therein. The contributions of colleagues from the E³ consortium are hereby acknowledged.

  25. Thank you… ….Questions? Contact details: Dr. Kostas Tsagkaris University of Piraeus Department of Digital Systems E-mail: ktsagk@unipi.gr

More Related