1 / 16

A measurement-based analysis of machine-to-machine (M2M) communications over a cellular network

A measurement-based analysis of machine-to-machine (M2M) communications over a cellular network. Jussi Marjamaa NomadicLab Ericsson Research Wireless Access Networks OY L M Ericsson AB. OUTLINE. Methodology M2M traffic/subscriber amounts per application Traffic amounts per subscriber

brook
Download Presentation

A measurement-based analysis of machine-to-machine (M2M) communications over a cellular network

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. A measurement-based analysis of machine-to-machine (M2M) communications over a cellular network Jussi Marjamaa NomadicLab Ericsson Research Wireless Access Networks OY L M Ericsson AB

  2. OUTLINE • Methodology • M2M traffic/subscriber amounts per application • Traffic amounts per subscriber • Radio performance • Popular devices • Conclusions

  3. CN Control Plane User Plane SGSN RAN GSMA IMEI DB External Networks RNC GGSN DB SGSN Events Probe Events RNC Events TAC data METHODOLOGY:Data sources • Analysis of the current M2M traffic in a cellular network • Data sources: • tcpdump setup in front of GGSN (=Probe events) • RNC events • SGSN events • TAC data from GSMA

  4. METHODOLOGY:M2M identification and grouping • M2M devices are recognized by TAC and APN based filtering • Grouping based on APN names or the type of a device Structure of IMEI [TS 23.003]: IMEI = International Mobile Station Equipment Identity TAC = Type Allocation Code SNR = Serial Number CD/SD = Check Digit / Spare Digit

  5. SHARE OF ACTIVE SUBSCRIBERS BETWEEN THE M2M APPLICATIONS ~5-7% of all active subscribers are M2M Active subscriber = PS data transmissions during the measured week

  6. SHARE OF TRAFFIC AMOUNTS BETWEEN THE M2M APPLICATIONS 0,01% of DL and 0,05% of UL traffic is M2M: 65% GERAN 35% UTRAN (81% of all the network’s traffic in UTRAN) M2M PDP activations: 87% GERAN 13% UTRAN (67% of all the activations in the network from UTRAN) (Total traffic volumes during one week)

  7. TRAFFIC AMOUNTS PER ACTIVE SUBSCRIBER (1/3) Only smart metering and security are having more UL than DL traffic: For comparison:~87 % of all the mobile network traffic is going to DL direction

  8. TRAFFIC AMOUNTS PER ACTIVE SUBSCRIBER (2/3) • Smart metering has the least data received (exponentially distributed) • Taxi and transport has the most (uniformly distributed)

  9. TRAFFIC AMOUNTS PER ACTIVE SUBSCRIBER (3/3) • Small data amounts for all M2M groups compared to the network average

  10. RADIO PERFORMANCE (1/3):RSCP and Ec/N0 (mean values) Values based on UE’s measurement reports on serving cell CPICH (Common Pilot Channel) RSCP = Received Signal Code Power Ec/No = Received Energy Per Chip Divided by the Power Density in the Band = RSCP/RSSI RSSI = Received Signal Strength Indicator

  11. RADIO PERFORMANCE (2/3):RSCP (CDF) • Poor RSCP for tracking, taxi and transport and part of smart metering

  12. RADIO PERFORMANCE (3/3):Ec/N0 (CDF) • Very good Ec/No values for smart metering • Poor Ec/No for applications with high mobility (tracking, taxi and transport)

  13. THE MOST POPULAR DEVICES WCDMA support

  14. CINTERION EU3-E VS. EU3-P (1/2) • Both the devices are mainly used for smart metering • Difference in supported bands (Qualcomm chipsets): • EU3-E (900/2100) • EU3-P (850/900/2100)

  15. CINTERION EU3-E VS. EU3-P (2/2) • EU3-P is experiencing better RSCP and Ec/No values

  16. CONCLUSIONS • M2M utilization is still small in terms of subscriber and traffic amounts • Smart metering is clearly the biggest application area • Payment is the second biggest • Relatively small traffic amounts for all M2M • Traffic is mostly DL oriented • Most of the M2M traffic (~65%) is carried over GERAN, though over a half of the devices are WCDMA capable • ~100 different M2M device models in use but most of the devices are different variations of Cinterion EU3 • Cinterion is the biggest UE device vendor • Big differences in radio performance between the different M2M groups • The worst performance experienced by the applications with: • Higher mobility • Items placed in the edges of coverage areas • Crowded places (hot-spots)

More Related