concevoir et maîtriser les systèmes complexes 1 urbanisme des radio-communications sp2, d2.1.2 :...

Concevoir et maîtriser les systèmes complexes1

Urbanisme des Radio-Communications

SP2, D2.1.2:

Specifications of the Metrology Related to Radio Resources and Spectrum

Management

6 June 2007

Editor: PRiSM Lab


Content of D2.1.2

Centralised/Decentralised Metrology Concepts: Pending

Definition of DSA Metrics: Pending Need of Cooperation between Different RATs

belonging to the same Operator: In progress Withdrawn Tasks:

Cooperation between Heterogeneous RATs and Different Operators

Spectrum Sharing and Utilisation of Unlicensed Bands


Centralised/Decentralised Metrology Concepts

Resp: ENST Status: Pending Metrology Classification:

Centralised: At which network level/node(s)? Distributed: How to manage information

exchange and decisions? Metrology and DSA Metrology Related to Radio Measurements

in Île-de-France


Definition of DSA Metrics

Resp: ENST; Other: PRiSM, INRETS, INT Status: Pending Possibilities of improving spectrum usage in Île-de-

France. Connection to the radio measurements campaign?? Input Measurements for DSA Operations: to be

completed Offered load of the RAN. At which level measurements are taken? Relating measurements to traffic and mobility

models (parameters estimation). Grade of Service, GoS related to traffic and

services Relation Application/Service <-> RAT



Blocking probability:– reject of new calls– Handover failures

History of Offered load based on service nature– Streaming: Video– Telephony, visiophony– Interactive data– Elastic

Issue: How to relate a service demand to the needed bandwidth?

Interferences: connect interferences to service QoS degradation

User inputs:– Radio metrics: C/I, eventually absolute interference level.

=? Frame error rate.



Metrics for DSA Performance Evaluation and Validation Testing (Output Metrics): Pending

Spectrum allocation: fairness issues Comparison between FSA and DSA schemes QoS perceived by final users Performance and cost metrics to be used by operator

Relation between Radio Measurements and DSA Metrics: Pending

Standards specifications of radio measurements and how to translate them into DSA metrics.

Take advantage of the measurements campaign Traffic measurements.


Need of Cooperation between Different RATs belonging to the same

Operator

Resp: PRiSM; Other: ENST, INRETS, INT Status: In progress Space-Time Variation of RATs Spectrum Demands:

In progress Cooperation and Spectrum Exchange between

RATs: In progress Control and Management Information Exchange

between Heterogeneous Networks: to be completed Measurements and Metrics Implicated: Network oriented

and User oriented RRM functions and RRM cooperation protocols “Control

Network” for information exchange


Time Variation of Spectrum Demand

Time-varying traffic Each service has its own temporal traffic patterns shape

related to the human activity:– Ex: telephone activity culminates at the busy hours. Video

demand increases in the evening.– The shape of a given service may depend on the

geographical location. Periodic/predictable variations (daily or seasonal

basis, ...) Exceptional variations (events, network problems, ...). Current spectrum status: FSA. Dimensionning and

spectrum allocation is done based on busy hours.


Time Variable DSA (1)

Temporal DSA Take advantage of the temporal variations. Dynamically adjust allocated bandwidth to the

load.

General Conditions for DSA on 2 RATs Temporal peaks located at different times A negative correlation is favorable

Drive data Lisbon urban area: GSM



Ideal DSA : Continuous measurements of offered load. Continuous spectrum values.

In fact, DSA is discrete in time and spectrum allocation:

What is the best period of DSA operation given a traffic shape?

The minimum spectrum exchange unity is a RAT carrier. General constraints and issues:

RATs may have different carrier sizes. GSM would have to free 40 carriers to activate a new DVB-T carrier.

RAN and users harware must operate at different frequencies. (software radio)



The time varying nature of the traffic implies the following DSA functions:

Operational steps: Find the best temporal granularity that assures

a good tracking of the demand variations. DSA interval.

Load measurements and prediction:– Load histroy.– Prediction for the next DSA interval based on the

history (e.g. regression methods). Spectrum allocation (contention and fairness

issues).


Time varying traffic related to other tasks

Relation to the measurement campaign: Get graphical shapes of daily load variations for

different technologies in Île-de-France. Possible measurements at Base Stations?

Relation to SP3: The simulator uses individual session/call

models for the demand and traffic. The session/call models and arrival rates must

be fitted so that their aggregation gives similar temporal shapes.


Space Variation of Spectrum Demand

Spatial Spectrum demand depends on users traffic activity on each RAT and in each area

Traffic modelling in space and measurements to be used

Macroscopic granularity: call scale, i.e., minutes

A3 A4 A5

A7A6

A2A1

DVB-T

UMTS

A3

A4

A5

No overlap

No overlap

UMTSCarrier

DVB-TCarrier

ExtraGB

MinimumGB


Spatial Spectrum Demand Distribution

Services/Applications used are space dependent and are strongly connected to underlying RATs Recreational Areas: DVB-T, HSDPA, WiMAX Business Areas: unicast, telephony -> GSM,

UTRAN. Regional traffic models combine:

Geographical distribution of terminal and traffic density

Distribution of Applications/activities: Which application activity distribution (itself connected to RAT) for each area


Spatial DSA Constraints

DSA areas geometry and neighbourhood constraints (coordination)

Spatial gradient: different DSA schemes between adjacent areas Guard bands should be adapted when needed Reducing cell sizes to decrease a high spatial gradient


Spatial DSA Constraints (2)

Integrate traffic correlation between areas Integrate traffic correlation between RATs Integrate total traffic demand parameter

T(total) = Sum(T(RATi)) variability Global mean GoS should be maximized in the

whole network Each area should enhance or at least equal

FSA GoS Optimisation problem: maximising GoS gain

under all listed constraints (interference, cost, guard band, …)


Space-Time correlation and Mobility

Geographical traffic distribution is time-dependent Combine time and regional DSA. Rush hour:


Control and ManagementMetrics

Measurements and Metrics Implicated Network oriented: at AN devices

– Load measurements– Global performance: blocking probabilities

User oriented: DSA may be involved when a global degradation of users QoS occurs => statistics collected from users


Control and ManagementRRM

RRM functions and RRM cooperation protocols depend on the DSA nature:

Contiguous DSA: “Control Network” for information exchange

RRM inside a RAT, carriers redistribution. Readjustement of carriers (condensing)

Interference issues.


Cooperation between Heterogeneous RATs and Different Operators

Defining a network architecture for control and spectrum exchange

Defining appropriate protocol for the control plane Centralised, distributed architecture? Coordination between different RAT and Areas

TD: Traffic Distribution IU: Interface Unit RS: RAN Selection SM: Service Manager EO: Efficiency Optimisation

Unit TM: Traffic Measurer TP: Traffic Predictor


Cooperation between heterogeneous RATs and Different Operators

FT, TDF Common Architecture Definition for

Operators Cooperation (broker) Cooperation Constraints and Mechanisms

between different operators and heterogeneous Systems

Spectrum Sharing Mechanisms


Spectrum Sharing and Utilisation of Unlicensed Bands

FT, ENST, INRETS, INT Unlicensed Bands Identification and

Characterisation Analysis and Study of DSA Achievability in

Unlicensed Bands

concevoir et maîtriser les systèmes complexes 1 urbanisme des radio-communications sp2, d2.1.2 :...

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