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Key Scenarios and implications for WINNER II

Key Scenarios and implications for WINNER II

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<strong>WINNER</strong> <strong>II</strong> D6.11.2 v1.02.5 Traffic load scenarioWhile the location scenario describes the relative user distribution <strong>and</strong> use of different services <strong>for</strong> aparticular location context, the traffic load scenarios further augments this into the absolute traffic loadexperienced. There<strong>for</strong>e user density in<strong>for</strong>mation is required.Traffic load scenarios (TLS) are used to describe the unrestrained end user traffic <strong>and</strong> the correspondingbehaviour of the network. TLS there<strong>for</strong>e refer to the expected nature of the traffic offered to the network,not the actual traffic characteristics over the air interface. No impediment to the build up of traffic isconsidered in the description of the TLS in this document.2.6 Deployment scenarioDeployment scenario comprises relevant features of the environment where the <strong>WINNER</strong> system is to bedeployed (e.g. building density <strong>and</strong> height, user density, mobility, etc.), <strong>and</strong> associated physicaldeployment characteristics used <strong>for</strong> the technical solution provided by <strong>WINNER</strong> (like antennas position,number sectors per BS, frequency, b<strong>and</strong>width, duplexing, physical layer mode, cell layout, etc.)[WIN2D6131]. Furthermore the available alternative radio access technologies (<strong>and</strong> assumptions relatedto their ownership, service offering, <strong>and</strong> type of co-operation) within the considered area are part of thedeployment scenario summarises key questions addressed <strong>and</strong> results obtained by the different scenariotypes.The key characteristics of the locations are: physical characteristics of the place, such as building height,building density, their distribution, etc 1 .Table 2.1: Summary of Considered Scenario TypesUserScenarioUsageScenarioLocationScenarioTraffic LoadScenarioDeploymentScenario<strong>Key</strong> Question Applicable <strong>for</strong> Averaging ResultsWhich services areneeded by a user in aparticular role <strong>and</strong>context?How is a particularservice typically used?Which service mix <strong>and</strong>usage pattern results <strong>for</strong>a user population in aparticular locationcontext?Which userdistribution, density,<strong>and</strong> absolute trafficload are generated in alocation scenario?Which technicalsolutions are deployedin a particular locationscenario?Single userSingle service<strong>and</strong> device typeSingle locationSingle locationSingle locationInstantaneousexamplesAveraged overtimeAveraged overtime <strong>and</strong> usersAveraged overtime <strong>and</strong> usersAveraged overtime <strong>and</strong> usersServices peruser type, role<strong>and</strong> contextTypical usageconditions of aserviceService mix,mobility, userdistributionUser density,traffic loadDeploymentparameters1 These characteristics are valid <strong>for</strong> the deployment <strong>and</strong> location scenarios. The difference is that the deploymentscenario refers to the availability <strong>and</strong> adoption of the technology in that particular area, while the location scenariorefers to the presence of a potential user of this technology. The connection is that if a location scenario ischaracterised by high user density it would mean that it can become a good deployment scenario driver.Page 10 (41)

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