M2M software suite for GSM

Nokia Siemens NetworksM2M software suite for GSM networks1 © Nokia Siemens Networks 2011

M2M software suite for GSM – supports growth and reliability Smart metering Copes with signaling load Precise paging – Nokia Siemens Networks innovation • Reduces M2M signaling load by up to 70% Unique quality Manages M2M traffic of experience Priority class based QoS • Intelligent handling of M2M objects with low QoS class can increase data throughput for other users by 50% • High QoS class for urgent health and safety transactions Unique in efficiency Improves network efficiency Smart Resource Adaptation – Nokia Siemens Networks innovation Nokia Siemens Networks’ M2M software • Up to 5 times more M2M transactions in suite – launched in July 2011 downlink with existing network2 © Nokia Siemens Networks 2011

Communication technologies are rapidly transforming life and work Body sensors @Public Virtual conference spots room eMeters Body @Office sensors Smart Oven Machines Smart phones @Home On the Smart move 3D HDTV glasses Tablets Tablets Connected Car3 © Nokia Siemens Networks

Communication technologies transform all industries Energy Retail Healthcare Building Car Transportation Security4 © Nokia Siemens Networks

One service enablement for adjacent industriesProviding connectivity for smart objects is the first step Provides reliable and efficient connectivity for adjacent industry Energy Logistics Home Security Payment Health applications to enable operators • To act as horizontal service providers Service Enablement across applications and industries Object Data Charging management management & Billing • To expand their role as managed service providers Connectivity M2M software suite for GSM networks • To capture maximum value as smart service providers Smart M2M objects5 © Nokia Siemens Networks 2011

Smart objects scale far beyond smartphones & smart devices Smart Objects Smart Devices Smart Phones6 © Nokia Siemens Networks 2011

Estimations on M2M impact to GSM networks Market statistics by ABI research, May 4 2011 Potential radio network impact • Some (applications) transmit only the minutest • Control signaling channel congestion (CCCH) amounts of data and only intermittently • Transmission delays and lower throughput • Intermittent data updates can create a major • M2M traffic is typically one directional (uplink signaling overhead on the mobile network; this dominating), but due to acknowledgements in has already been a problem for smart phone downlink the transactions load networks in users both directions and impact all users • Challenge is how to manage M2M network usage Impact to end user experience • Network busy and Missed call alerts This is interesting repurposing of 2G capacity, reinforcing the fact that 2G networks won’t • Lower data throughput disappear anytime soon • SMS message not sent7 © Nokia Siemens Networks 2011

Utility and smart grid use case Case 1 Case 2 Smart metering • Electricity measurement data • Electricity measurement data for for billing billing • Transmission once per day • Transmission once per hour • 30 transactions per month • 720 transactions per month • Transaction payload hundreds • Transaction payload hundreds of of bytes bytes • Monthly payload < 0.1 MB • Monthly payload < 1MB per per user user • Metering equipment stationary • Metering equipment stationary The key issue is the step increase in number of small transactions loading both signaling and traffic channels, but the monthly data volumes per meter are marginal8 © Nokia Siemens Networks 2011

Transportation and automotive use case Case Fleet management Benefits of fleet management • Taxi location reported periodically • More efficient allocation • Transmission once per 10-15 seconds of taxis • 5720 transactions per month • Tracking of the stolen vehicles • Transaction payload hundreds of bytes • Traffic congestion • 200 MB per month • Estimation of traffic intensity • Metering equipment stationary or moving The key issues are the huge increase in number of small transactions loading both signaling and traffic channels, and the data volumes similar to smart devices9 © Nokia Siemens Networks 2011

What is the impact of M2M objects to a GSM network ? Potential impact Traditional solutions M2M software suite Increase in paging load Investment into e2e Precise paging dominated by stationary smart capacity Reduces paging load by sending M2M objects paging first to base station site where • Add signaling channels • Add traffic channels the smart object is last known High number of non-urgent M2M transactions dominated by uplink • Expand GPRS territory Priority class based QoS reduce network service quality • Split the cells QoS profiles for smart objects Urgent M2M transactions need • Split the BTS sites according to the need to minimize the higher Quality of Service • Add transport capacity impact to other users and to • Add PCU capacity maximize the speed for urgent • Add Gb interface transactions Short M2M data calls (e.g. acknowledgements) reduce capacity Smart Resource Adaptation network service quality in • Etc… Short data calls need only one traffic downlink channel (radio timeslot) Reduced Total Cost of Ownership (TCO)10 © Nokia Siemens Networks 2011

M2M software suite for GSM – supports growth and reliability Smart metering Copes with signaling load Precise paging – Nokia Siemens Networks innovation • Reduces M2M signaling load by up to 70% Unique quality Manages M2M traffic of experience Priority class based QoS • Intelligent handling of M2M objects with low QoS class can increase data throughput for other users by 50% • High QoS class for urgent health and safety transactions Unique in efficiency Improves network efficiency Smart Resource Adaptation – Nokia Siemens Networks innovation Available from August 2011 • Up to 5 times more M2M transactions in downlink with existing network11 © Nokia Siemens Networks 2011

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M2M software suite for GSM

by Nokia Siemens Networks

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