Signaling load evaluations for policy-driven cognitive management architectures - PowerPoint PPT Presentation

Loading...

PPT – Signaling load evaluations for policy-driven cognitive management architectures PowerPoint presentation | free to download - id: 6ebef9-MTA1N



Loading


The Adobe Flash plugin is needed to view this content

Get the plugin now

View by Category
About This Presentation
Title:

Signaling load evaluations for policy-driven cognitive management architectures

Description:

Signaling load evaluations for policy-driven cognitive management architectures Kostas Tsagkaris M. Akezidou, A. Galani, P. Demestichas Telecommunication Networks ... – PowerPoint PPT presentation

Number of Views:32
Avg rating:3.0/5.0
Slides: 35
Provided by: Kosta5
Category:

less

Write a Comment
User Comments (0)
Transcript and Presenter's Notes

Title: Signaling load evaluations for policy-driven cognitive management architectures


1
Signaling load evaluations for policy-driven
cognitive management architectures
Kostas Tsagkaris M. Akezidou, A. Galani, P.
Demestichas Telecommunication Networks
Integrated Services Lab Dept of Digital Systems,
University of Piraeus, Piraeus, Greece
Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
2
Outline
  • Motivation, problem area
  • Overview of considered cognitive management
    architecture
  • Signaling load evaluation methodology
  • Application to an indicative scenario
  • Test cases and results
  • Conclusions and future work

3
Outline
  • Motivation, problem area
  • Overview of considered cognitive management
    architecture
  • Signaling load evaluation methodology
  • Application to an indicative scenario
  • Test cases and results
  • Conclusions and future work

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
4
Motivation, problem area
  • Significant increase in user demands, mainly
    stemming from the wireless and mobile domains
  • Heterogeneous wireless networks with great levels
    of complexity
  • Multiple, collaborating Radio Access Networks
    (RANs)
  • Able at operating a plethora of diverse Radio
    Access Technologies (RATs)
  • Variant types of Mobile Terminals (MTs), with the
    ability to choose among various supported
    RAN/RATs
  • Both devices and networks with dynamic spectrum
    access capabilities

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
5
Motivation, problem area
  • How to optimally select and use spectrum and
    radio resources?
  • Stress for developing mechanisms to confront the
    challenges and to leverage the opportunities
    posed by such a versatile radio environment.
  • Solution adaptive and flexible management
    paradigms that are able to dynamically manage
    network elements and terminals, ensuring the
    great availability and efficient usage of
    spectrum and other radio resources

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
6
Motivation, problem area (cont.)
  • A Policy-driven Cognitive Management Architecture
    is proposed as a solution to the above problems
  • destined to the optimized management of future
    wireless networks operating in versatile radio
    environments
  • comprises a generic amalgamation of a set of
    architectures that have been proposed for
    managing future networks
  • A variant structure of the Functional
    Architecture (FA) that has been developed by the
    E3 European project
  • for introducing reconfigurable, cognitive Systems
    in the B3G world
  • for improving the utilization of spectrum and
    radio resources
  • More importantly, a variant of the architecture
    that has been actually elaborated within the
    Working Group 3 (WG3) of the ETSI Reconfigurable
    Radio Systems Technical Committee (ETSI RRS TC)
  • In May 2009, the ETSI Board has approved the
    respective technical report as ETSI TR 102.682
    Functional Architecture (FA) for the Management
    and Control of Reconfigurable Radio Systems

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
7
Motivation, problem area (cont.)
  • However little work on the performance
    assessment of the above cognitive management
    architectures so far
  • This work places focus on the evaluation of
    signaling loads that the cognitive management
    architecture will burden to the network that it
    operates in

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
8
Outline
  • Motivation, problem area
  • Overview of considered cognitive management
    architecture
  • Signaling load evaluation methodology
  • Application to an indicative scenario
  • Test cases and results
  • Conclusions and future work

9
Overview of considered cognitive management
architecture
  • DSNPM
  • manages and reconfigures the network elements
  • detects the new elements
  • provide the essential configuration information
    of the managed RATs to MTs
  • derivates policies for the managed MTs
  • calculates metrics on spectrum utilization
  • Functional entities and interfaces
  • DSM
  • assigns operating frequencies to RATs
  • detects opportunities for sharing or trading
    spectrum with other network operators (NOs)
  • JRRM
  • is responsible for jointly managing the radio
    resources belonging to heterogeneous RATs
  • performs functionalities such as MT access
    selection, neighborhood information provision,
    and QoS/bandwidth allocation/admission control
  • CCM
  • implements the decisions of DSNPM and JRRM in
    network elements and JRRM in MTs
  • responsible for all the stages of reconfiguration
    and all the possible related actions (e.g. SW
    downloads)
  • RAT
  • Encapsulates the set of network and/or terminal
    elements and resources that are bound to a
    specific radio access technology and are subject
    to reconfiguration

10
Outline
  • Motivation, problem area
  • Overview of considered cognitive management
    architecture
  • Signaling load evaluation methodology
  • Application to an indicative scenario
  • Test cases and results
  • Conclusions and future work

11
Signaling load evaluation methodology
  • Our purpose is to calculate the signaling loads
    in the interfaces of the architecture
  • Assuming mapping of the functional interfaces to
    actual system interfaces e.g. ones defined in
    3GPP
  • The interfaces are first defined in terms of
    elementary procedures
  • Every single operation/scenario in the considered
    architecture is supposed to be built from a set
    of elementary procedures taking place in the
    interfaces of the architecture (thus the term
    elementary)
  • Calculations can be then done by characterizing
    the signaling loads that are needed to carry out
    this set of elementary procedures

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
12
Signaling load evaluation methodology (cont.)
  1. Determination of procedures in the considered
    scenario(s) Every scenario in question can be
    seen as a constitution built from a set of
    elementary procedures taking place in the
    interfaces of the architecture.
  2. Determination of messages Determination of
    messages that flow in-between the peer entities
    of the interfaces and are used to carry out the
    procedures
  3. Determination of parameters Determination of the
    set of parameters needed to be conveyed within
    each of the messages defined in the previous step
  4. Message length calculation Calculation of the
    length of every message considered as deriving
    from the summation of its constituent parameters
    length values.

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
13
Outline
  • Motivation, problem area
  • Overview of considered cognitive management
    architecture
  • Signaling load evaluation methodology
  • Application to an indicative scenario
  • Test cases and results
  • Conclusions and future work

14
Application to an indicative scenario
  • Application of the above defined methodology to
    an indicative scenario, namely New Spectrum
    Assignment
  • New frequencies are disposed by a regulator to a
    network operator (NO)
  • The NO want to operate the new frequencies for
    specific Radio Access Technologies (RATs)
  • The scenario includes processes and exchange of
    messages that are necessary for informing about
    and accommodating the new spectrum to the network
    (network elements and terminals)

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
15
1. Determination of procedures
  • 10 procedures in total

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
16
2. Determination of messages (cont.)
  • 10 procedures in total
  • 15 messages

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
17
2. Determination of messages (cont.)
  1. DSM first requests updated spectrum utilization
    metrics from DSNPM (msgSpectrumUsageRequest)
  2. DSNPM then requests from n-JRRM, updated context
    information (msgContextInfoRequest_MJ)
  3. n-JRRM forwards the context information related
    requests to the respective entities in MTs,
    namely m-JRRMs, as well (msg ContextInfoRequest_J
    J-TN)
  4. The context information is sent from MTs to
    n-JRRM (msg ContextInfoResponse_JJ-TN)

1
2
3
4
Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
18
2. Determination of messages (cont.)
  1. n-JRRM requests from RATs, context and current
    configuration information, as well (msg
    ContextConfigurationInfoRequest)
  2. This context configuration information is sent
    to n-JRRM (msgContextConfigurationInfoResponse)
  3. The total information is forwarded to DSNPM (msg
    ContextInfoResponse_MJ)
  4. Based on this information DSNPM calculates the
    current spectrum usage metrics and forwards them
    to DSM (msg SpectrumUsageResponse)
  5. DSM implements algorithms that result to the new
    spectrum assignment and sends the new directives
    for final allocation of the frequencies to DSNPM
    (msgSpectrumAssignmentRequest)

5
6
7
8
9
Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
19
2. Determination of messages (cont.)
  1. DSNPM decides for the final allocation of
    frequencies and informs a number of RATs (n-CCM)
    for reconfiguration (msg ReconfigurationRequest_M
    C)
  2. n-CCM entities determine the specific moment of
    reconfiguration by forwarding the DSNPMs
    information to the RATs (msg ReconfigurationReque
    st_CR) and implement the reconfiguration process

10
11
Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
20
2. Determination of messages (cont.)
  1. n-CCM supervises the reconfiguration process and
    when it is informed by RATs for the successful
    processs effectuation (msg ReconfigurationRespon
    se),
  2. it informs DSNPM (msg ReconfigurationExecutionNot
    ification)
  3. DSNPM sets out a context notification procedure
    in order to inform MTs for the updated context
    information in the network (msg
    NetworkContextNotification)
  4. Finally, DSNPM derives new policies and sends
    them to MTs via n-JRRM (msg Policy)

12
13
14
15
Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
21
3. Determination of parameters
  • Next step describe the type and number of
    parameters that each of the messages must convey
    for satisfying the purpose for which the
    architecture has been designed for i.e. spectrum
    and radio resource usage optimization
  • Mainly based on the authors view and experience,
    albeit in alignment with the respective
    functionality in each of the functional entities
  • Consider msg ContextInfoResponse_JJ-TN as an
    example. It may comprise information such as
  • MT identification number
  • Reconfiguration capability
  • Current configuration of its interfaces
  • Geographic coordinates at a time instance
  • Mobility profile
  • Requested services
  • Signal measurements
  • etc

4
Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
22
4. Message length calculation
  • A more formal description of the parameters and
    accordingly of the messages and procedures seems
    to be of prominent importance
  • Use of Abstract Syntax Notation One (ASN.1) in
    order to describe the syntax of the messages
    conveyed between the interfaces of the
    architecture in a formal way
  • ASN.1 is a standardised specification language
    that describes data structures for representing,
    encoding, transmitting, and decoding data
  • Calculation of the length of every message as a
    summation of its constituent parameters length
    values
  • Calculations are done on top of and independently
    of any specific transport protocol

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
23
4. Message length calculation (cont.)
Procedure
Message
Parameters
Interface
Calculated Load w/o encoding
Calculated Load assuming BER encoding
Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
24
4. Message length calculation (cont.)
  • Interesting note 1
  • The evaluation work reveals that the loads obey
    some generic formulas comprising a combination of
    both variable and constant parts
  • The variable part reveals dependency on
    parameters, which
  • are specific to each procedure e.g. number of
    requested frequency bands f
  • or more generic ones e.g. such as the number of
    mobile terminals m (like in ContextInfoResponse_JJ
    -TN)

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
25
4. Message length calculation (cont.)
  • Interesting note 2
  • One of the most interesting contributions of this
    work is the formalization of the Policy message
  • Policies are derived by the network (a policy
    derivation function in DSNPM) and are
    communicated to the user mobile terminals for
    guiding their selection of proper radio resources
    (radio resource selection policies)
  • Policies are formatted (using ASN.1) so that they
    apply to the whole set (broadcast-like) or a
    sub-set (multicast-like) of MTs.
  • They are formatted as rules adhering to the well
    known Event-Condition-Action (ECA) type
  • ON ltEventgt IF ltConditiongt THEN ltActiongt
  • the event part specifies the signal that triggers
    the invocation of the rule (e.g. changes in
    spectrum)
  • the condition part is a logical test that if
    evaluates to true (e.g. MTs located at specific
    areas and use specific type of service), causes
    the action to be carried out,
  • the action part consists of the actual execution
    of the modification/update (e.g. change operating
    RAT/freq etc.)
  • Calculation of the Policy message length by
    applying the same methodology

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
26
Outline
  • Motivation, problem area
  • Overview of considered cognitive management
    architecture
  • Signaling load evaluation methodology
  • Application to an indicative scenario
  • Test cases and results
  • Conclusions and future work

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
27
Test cases and results
  • Test case 1 Generic evaluations
  • Process of evaluations of the signaling load by
    assuming a generic situation

Number of active mobile terminals 50
Number of Flexible Base Stations (FBSs) 3
Number of RATs 2
Total produced signaling load (in bytes)
Air and core signaling loads (in bytes)
Signaling load (in bytes) per procedure
Signaling load (in bytes) per interface
28
Test cases and results (cont.)
  • Test case 2 Scalability issues
  • How the signaling load evolves in function to the
    number of RATs, of FBSs and of MTs in the managed
    network?

Evolution of signaling load vs number of FBSs
Evolution of signaling load vs number of RATs
Evolution of signaling load vs number of MTs
29
Test cases and results (cont.)
  • Test case 3 Signaling delays
  • The objective is to give some evidence on the
    delay that the management operations will suffer
    as a result of the transmission of the produced
    management signaling information
  • Assumed wired and wireless links offering 100Mbps
    and 70Mbps of capacity, respectively (i.e. S1-MME
    and air interfaces in 3GPP LTE)

Evolution of signaling delay vs number of FBSs
Evolution of signaling delay (in ms) vs number of
RATs
Evolution of signaling delay vs number of MTs
30
Outline
  • Motivation, problem area
  • Overview of considered cognitive management
    architecture
  • Signaling load evaluation methodology
  • Application to an indicative scenario
  • Test cases and results
  • Conclusions and future work

31
Conclusions and future work
  • Conclusions
  • The heterogeneity and versatility of future
    wireless networks resulted in a cognitive
    management architecture for offering optimized
    management
  • A methodology for evaluating signaling loads in
    this management architecture was presented
  • Results that were obtained from the application
    of the methodology to an indicative scenario were
    presented and showed that the management
    architecture will not aggravate the overall
    network operation
  • Future work
  • Handling the complete set of scenarios
  • Identification of the periodicity of specific
    procedures-messages in order to give insight on
    the expected load that will regularly appear in
    the managed network (already done)
  • Mapping to existing transport protocols that
    currently used for signaling purposes
  • Setup an experimentation platform for validating
    the proposed methodology
  • already done based on Java Agents DEvelopment
    (JADE) framework

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
32
Further reading
  • K.Tsagkaris, M.Akezidou, A.Galani, P.Demestichas,
    Evaluation of Signalling Loads in a Cognitive
    Network Management Architecture, submitted,
    available under request
  • A.Galani, K.Tsagkaris, P.Demestichas,
    Information Flow for Optimized Management of
    Spectrum and Radio Resources in Cognitive B3G
    wireless networks, Journal of Network and
    Systems Management, Springer, Vol. 18, Issue 2,
    pp. 125-149, June 2010
  • 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, Wiley, to appear
  • K.Tsagkaris, N.Koutsouris, A.Galani,
    P.Demestichas, Performance Assessment of a
    Spectrum and Radio Resource Management
    Architecture for Heterogeneous Wireless
    Networks, in Proc. Future Network Mobile
    Summit 2010, Florence, Italy, 16th -18th June
    2010
  • K.Nolte, A.Kaloxylos, K.Tsagkaris et al. The E3
    architecture Enabling future cellular networks
    with cognitive and self-x capabilities,
    International Journal of Network Management,
    Wiley, to appear
  • G.Dimitrakopoulos, P.Demestichas, A.Saatsakis,
    K.Tsagkaris, A.Galani, J.Gebert, K.Nolte,
    Functional Architecture for the Management and
    Control of Reconfigurable Radio Systems,
    Vehicular Technology Magazine, IEEE, vol.4, no.1,
    pp.42-48, March 2009
  • ETSI TR 102.682 Reconfigurable Radio Systems
    (RRS) Functional Architecture (FA) for the
    Management and Control of Reconfigurable Radio
    Systems, V1.1.1 (2009-07)

Wireless Track Session 2 BROADNETS 2010 27
October 2010 October 25-27, Athens, Greece
33
Acknowledgment
  • This work was performed in the project E³
    (www.ict-e3.eu) which has received research
    funding from the Community's Seventh Framework
    programme. The work is evolved in the context of
    UniverSelf and OneFIT (www.ict-onefit.eu
    lthttp//www.ict-onefit.eu/gt) Projects. 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.

34
  • Thank you
  • Questions?

Contact details Dr. Kostas Tsagkaris University
of Piraeus Department of Digital Systems E-mail
ktsagk_at_unipi.gr
About PowerShow.com