Presentation on theme: "S MARTPHONES IMPACT IN 3G AND F UTURE LTE N ETWORKS Student : Adnan Basir (84906S) Supervisor : Jyri Hämäläinen Instructor : Timo Halonen (Nokia Siemens."— Presentation transcript:
S MARTPHONES IMPACT IN 3G AND F UTURE LTE N ETWORKS Student : Adnan Basir (84906S) Supervisor : Jyri Hämäläinen Instructor : Timo Halonen (Nokia Siemens Networks ) Work carried out at Nokia Siemens Networks, Espoo Aalto University, School of Electrical Engineering 17-March-2011
Table of Contents Introduction /Background Reason for Smartphone Signaling Congestion Problem statement Layer 3 Radio Resource Control (RRC) Cell states. Method Used Important Results Signaling Congestion in LTE Conclusion and Future Work
Introduction What is smartphone ? A device that has ability to browse internet, send/receive , edit office tasks etc, in addition to make regular phone calls. What is Smartphone Signaling Challenge ? Huge Influx of smartphones to the market Congestion in cellular networks Failed call attempts High congestion report in newyork (AT&T case) and london Is increase in data usage the real problem ? High data usage is only among small group of subscribers but congestion is in entire network.
Why Congestion then ! Signaling Traffic is the culprit. 30 – 50 % higher now as compared to data traffic. Applications in smartphones connect to internet even when users are no using them (i.e. facebook updates, tweets etc). Keep-alive messages 3G networks were designed to handle huge data traffic but not signaling traffic ! With influx of tablet devices the problem is going to get worse
RRC Cell states What is signaling message ? Each time a mobile make state transition it generates signaling messages. 30 messages to go between idle and dch 7 messages between dch and pch 2 messages between pch and fach Some mobile vendors implement Fast dormancy which is transition from DCH to IDLE state when there is no data.
Thesis objective Observe impact of various smartphones applications on network in terms of resource management. Best network parameters for optimized services T1, T2, T3 timers etc To study How LTE cope with signaling congestion problem.
Method Used 3G Test Network 3G RRC logs with EMIL Tool (NSN propriety) Wireshark for traces from 3G Gn Interface NSN NETACT to configure network parameters Nemo Handy (Used in case of outdoor map studies)
Important Results Online Gaming 30 minutes game play A single voice call would result in estimated 50 signaling messages. Android uses “Fast dormancy” which results in high number of signaling messages G Android IPhone TOTAL STATE TRANSITIONS TOTAL SIGNALING MESSAGES (Respective to state transitions)
Important Results RABS DCH>FACHFACH>PCHPCH>FACH FACH>DCH STATE TRANSITIONS SIGNALING MESSAGES (Respective to state transitions) SIGNALING IMPACT (TEXAS HOLDEM ON GOOGLE ANDROID) Total Signaling Messages = 3201 ! Android uses fast dormancy and forces the UE to idle state when there is no data ! 30 minutes game play ! RABS DCH>FACHFACH>PCHPCH>FACH FACH>DCH STATE TRANSITIONS SIGNALING MESSAGES (Respective to state transitions) SIGNALING IMPACT (LIVE POKER ON IPHONE 4.1) Total Signaling Messages = 1996 !
24 Hour user profiling with N97 In 24 Hour resources utilization estimate, idle, shoulder and busy cases have been divided as following User remain idle for 14 hours in 24 hours User perform shoulder activity for 7 hours in 24 hours. User perform busy activity for 3 hours in 24 hours For N97 mini, the results from 24 hour profile is given in the table Power Consumpti on Signaling Messages RABsDownlink Data Uplink Data TCP Sessions 1475 mA kbytes 3336 kbytes 902
Signaling Congestion in LTE Simplified RRC Architecture RRC Idle Cell selection Monitoring RRC Connected DRX in connected state Only one reconfiguration message No RNC Simple RRC connection procedure. No NBAP and ALCAP signaling Only PS Domain No signaling connection release procedure MME Handling most of the load now So there can more signaling congestion on core network side
Other important studies Impact of CELL_PCH Laptop (with utms dongle) Vs Mobile signaling Load Maps Studies (Google maps, Ovi maps) Angry bird (Online Game) MiFi study
Conclusion / Future Work Implement HSPA Release 7 Cell-Fach HS-DSCH instead of FACH High efficiency Implement Cell-Pch Avoid fast-dormancy Femtocells Load sharing (signaling/data) Intelligent network monitoring Application using more signaling resources Charge users on application bases