Quality of Service and Experience in LTE Mobile Networks

Quality of Service and Experience in LTE Mobile Networks
Slide Note
Embed
Share

Presentation by Dr. Irina Cotanis from ITU-T QSDG in Dubai, November 2014, covering topics like LTE QoS/QoE, KPI mappings, challenges, and more in the context of mobile network performance. Learn about ASCOM's approach to QoS and QoE cycles, LTE QoE-QoS-KPI relationships, cost-efficient top-down approach, and customer-centric mapping for improved network performance.

  • LTE Mobile Networks
  • QoS
  • QoE
  • KPI Mapping
  • Network Performance

Uploaded on Feb 18, 2025 | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. [ ] ITU-TQSDG - DUBAI ASCOM PRESENTATION: QOS AND QOE IN LTE MOBILE NETWORKS Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  2. Who We Are Independent Auditor +40 patents worldwide 1 Next-generation technology 650 Customers Globally More than 30 patents worldwide ITU-T ETSI VQEG Innovative Leader Wireless network performance Formative Player Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  3. AGENDA LTE QoE- QoS- KPI MAPPING RELATIONSHIPS CHALLENGES EMERGING FROM LTE ASCOM LTE QoS/QoE TESTING APPROACHES SHARING EXPERIENCE: SOME USE CASES CONCLUSIONS Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  4. [ ] LTE QOE-QOS KPI MAPPING RELATIONSHIPS Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  5. ASCOMs APPROACH ON QoS/QoE CYCLE => SAME AS ITUs (ITU-T G.1000) MNO Subscriber QoE Requirements of Subscriber Alignment gap QoS Targeted by MNO (Target SLA) Execution QoE/QoS Cycle KPIs, QoS Value gap gap TEMS QoS Delivered by MNO (Achieved SLA) Perception gap QoE Perceived by Subscriber QoE Subscriber-centric Quality (QoE) Network-centric Quality (QoS) TEMS Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  6. LTE QoE- QoS - KPIs MAPPING Network Performance Customer Experience MME / S-GW MME / S-GW S1 S1 S1 S1 X2 E-UTRAN eNB eNB X2 X2 eNB QoS KPIs QoE Upper Layers (IP/UDP, IP/TCP) (throughput, delay Application Layer (accessibility, retainability, integrity) Physical layer (coverage, interference) Layer 2&3 MAC, RLC, LLC (reports related to QoE dimensions = PDP context, HO info, codecs) Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  7. COST EFFICIENT TOP DOWN APPROACH ENABLED BY PRE- DEFINED LTE QoE-QoS-KPIs MAPPINGS Top-down customer experience centric approach operational efficiency Increased Application Layer (accessibility, retainability, integrity) Voice Service: 97 Auryst, 03 PESQ, 12 POLQA Video-Audio Services: 08 VSQI/MTQI, 12 PEVQ, 12 VQmon QoE Upper Layers (IP/User Data Protocol , IP/Transport Control Protocol): Throughput, Delay, Packet Loss, Rebuffering QoS Layers 2 & 3 messaging reports related to QoE dimensions like PDP context, HO info, codec usage Network performance KPIs Physical layer details like coverage and interference Reduce troubleshooting time by using QoE centric mapping to QoS and KPIs per service type 7 Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  8. [ ] CHALLENGES EMERGING FROM LTE Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  9. VoLTE-ViLTE-RCS EXPERIENCE Call Quality as Perceived by Subscribers Codecs (KPI) MOS / ITU-T P.863; J.247 & P.120x.x based (video) On device VoLTE client: re-buffering/time scaling for voice; error concealment type for video Voice path delay ( mouth to ear ), echo, video voice lip sync Call RTP Packet loss, latency, jitter Experience (QoE) HOIT (LTE HO, eSRVCC) Throughput Devices Clients (KPI) Network (QoS /KPI) Voice /video codec type and bit rates Call control performance Session set-up: SIP signaling statistics / IMS Registration, RTT Session Accessibility, Retainability QCI allocation verification LTE RRC connection and HO statistics Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  10. MOBILE VIDEO STREAMING EXPERIENCE Codec types: Devices & Clients High Different form factors Low Different 2D/3D displays Adaptive bit rates Different adaptive error concealment schemes MME / S-GW MME / S-GW Network centric: S1 S1 Service-Centric S1 S1 Packet loss X2 E-UTRAN eNB eNB X2 X2 Wide variety of content & bit rates Jitter eNB Allocated GBR and QCI HTTP/TCP vs. RTP/RTSP Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  11. VoLTE QoE AND ITS ROOT CAUSES (QoS, KPIs SOURCES) Perceived call session performance (QoE) Interruptions (QoE) (incl. time clipping) Perceived frequency Spectrum (QoE) Mouth to ear delay (QoE) Noisiness (QoE) (incl. musical noise) Network (QoS): Limited Bandwidth Network (QoS) (IMS path can be key contributor) Network (QoS/KPIs) (IP/IMS loss, jitter, RAN erroneous bits, RAN HO) Device based signal process- ing (KPIs) (e.g. NR, EC) Network (QoS): Limited BWD with noisy speech (speech contamination) IMS network (QoS/KPIs): SIP statistics, IMS registration Device (KPIs): Spectral shaping Reverberations Codec/device signal processing (KPIs) Device (KPIs): Imperfect NR (musical noise) Loudness during silent periods Non-optimal loudness levels Codec/client (KPIs) PLC interpolation based ( additive artifacts ) Codec/client (KPIs):PL concealment schemes Aggressive VAD schemes ITU-T on going work: G.VoLTE, P.TCA (Technical Cause Analysis) Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  12. MOBILE VIDEO STREAMING QoE AND ITS ROOT CAUSES (QoS, KPIs SOURCES) Low throughput (limited bandwidth) QoS Packet loss, discard, late arrival MME / S-GW MME / S-GW IP delays / jitter S1 S1 KPIs Possible transcoding Video resolutions/re-scaling Encoding/transcoding rates Compression schemes KPIs S1 S1 X2 E-UTRAN Limited coverage, interference eNB eNB X2 X2 Bandwidth estimation algorithms impact the bit rate selection eNB QoE Visual impairments: Blockiness, Bluryness, Jerkiness, Freezing with and/or without skipping Content server load, (competing video streams) KPIs Client under/over flow; improper buffer lengths/adaptation length Content complexity (variable movement) Initial buffering settings Perceived service accessibility / access time Display resolutions, form factors Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  13. [ ] ASCOM LTE QOE/QOE TESTING APPROACHES Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  14. UNDERSTAND AND USE ITU-T BASED QoE METRICS BEST FITTED TO THE SERVICE BEING TESTED LTE VOICE AND MOBILE VIDEO SERVICES LTE Broadcast Streaming server Video stream (YouTube, eMBMS) Encoding Cellular Voice & Data Network IP recordings (RTP KPIs/QoS) synchronized with RAN KPIs Decoding Conversational Video Solutions Voice: MOS P.OLQA Video: MOS PEVQ IP transport/payload parameters Voice Video stream Voice/Conversational Video Full Reference listening media quality evaluation (intrusive, perceptual) measurement Direct RTP KPIs/QoS MOS, media based KPIs Solutions Voice: MOS - ITU P.564 based Video-audio: MOS P.120x.x based (VQmon) Non Reference listening media quality evaluation (non-intrusive, parametric) MOS, network based KPIs Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  15. [ ] SHARING EXPERIENCE: SOME USE CASES Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  16. VoLTE MOS SCORE and VoLTE KPIs/QoS Speech & Network reasons Speech reasons centric centric Client QoE Evaluation & Troubleshooting MOS TEMS Discovery Client Network Deliver VoLTE Stack Optimization TEMS Investigation TEMS Pocket POLQA; speech path delay, volume, echo Client Information (re-buffering, codec) ESM configuration (QCI, RoHC) Real time IP trace & L3 logging IP recording (RTP stats), SIP stats RAN (HOIT, Scheduling, RSRP, CINR, CQI, PMI/RI, UE category, MTU Size, Protocol stack configuration) Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  17. ADAPTIVE STREAMING QoE AND QoS/KPIs Dynamically adaptive HTTP/TCP ETSI TS 102.250-2, ETSI TR 101.578 Measurement Guidance for TCP based video services Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  18. [ ] CONCLUSIONS Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  19. A FULL QoE/QOS CYCLE SOLUTION FOR LTE NETWORK AND SERVICES My Customer Experience Data Automated data correlation and presentation My competitors customers (Benchmark) Providing network and customer experience - centric diagnoses for voice (VoLTE, OTT, VoHSPA), and video-audio services (OTT, RCS-e/Joyn) My customers, real field agents Built-in best practices scripted data analytics provide automated root cause analysis Automated what, why and engineer- trusted how scenarios Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  20. CONCLUSIONS PLEASE VISIT OUR WEBSITE: http://www.ascom.com/nt/en/index-nt/about-us-network-testing/nt-about-us- resources.htm/ White papers: VoLTE, Video Streaming, HetNets, Carrieir Aggregation and...watch the space: LTE Broadcast testing to come soon Informa Webinar: Advanced testing with Ascom in LTE networks Webinars: VoLTE, Video Streaming Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

  21. [ ] THANK YOU Dr. Irina Cotanis ITU-T QSDG, Dubai, November 2014

Related


More Related Content