In the 4G era, mobile video service will gradually become customers’ basic service. This is especially true with the increase in smartphone penetration and the ever diversified video content. In addition, mobile video traffic increases in a rapid but unbalanced way, that, hot video source and content publish may bring burst, concurrent traffic and local bearer network congestion. Transmission of video content need experience end-to-end process from content server to terminal user. Packet loss, delay and complexity of wireless network environment make mobile video service quality problem analysis and demarcation very difficult and inefficient. How to accurately identify the distribution and variation of mobile video hotspots? How to improve the accuracy of planning and resource efficiency to ensure smooth experience of mobile video? How to quickly locate and optimize video quality problem? These are key challenges for operators.
Huawei has extensive global delivery experience and well anchored research & development that looks into new technologies for mobile video experience improvement service, including precise mobile video hotspot dynamic forecast, video experience oriented planning and full range of video quality optimization for 4G mobile video, to identify value zone, enhance video experience continuously, closed-loop the problems quickly, so as to enhance the mobile video service competitiveness and user loyalty.
Mobile Video Hotspots Dynamic Forecast
The development of mobile video traffic has strong correlation with complex mobile user behaviors. With application of network data association, Geographic analysis, vMOS assessment and other key capabilities, legacy network video service model and vMOS gap can be accurately analyzed and identified. It can also support multi-dimensions visible analysis such as video definition, video source, 4G video users and smartphone traffic.
Unbalanced video service growth makes mobile video hotspots change dynamically and more difficult to forecast. With characteristics analysis for mobile video service, Huawei developed service features model and key video traffic forecast algorithms that are able to perform dynamic forecast mobile video traffic and hotspots in short, medium and long term, with geographic distribution and accuracy of 80%, supporting precise identification of value zone, which provides valuable inputs to help operators make the right investment decisions.
Concluded from the prediction of mobile video traffic, both HD and Ultra-definition video will continue to grow. This will undoubtedly place high requirements for both network bandwidth and wireless access throughput, which needs iterative planning to guarantee mobile video experience.
Mobile Video Experience Oriented Planning
The 4G mobile video service experiences end-to-end video data transmission process, presenting characteristics of high volume traffic, burst & concurrent, and high sensitivity for quality. With the complicated traffic growth has shown unbalanced massive traffic which is burst & concurrent in nature. It has sensitive quality characteristics, which needs to consider differentiated user video service application and reasonable video service experience planning due to complex network transmission environment and multi-influencing factors. Therefore, video experience planning includes wireless access network, bearer network, core network E2E planning and precise resources allocation to achieve efficient network resources utilization and the overall video services experience improvement.
Massive traffic: the radio network through service experience gap analysis and model mapping algorithm, apply 3D network simulation technology, identification the weak coverage of planning area accurately, coordinate macro and micro sites, multi carriers & carrier aggregation, multi sectors and automatic parameters planning to achieve users mobile video service fast access by depth of coverage, to meet the demand of user anywhere and anytime along with smooth experience
4G HD and ultra-definition video burst and concurrent: in order to meet the low latency access requirements, distributed CDN network was deployed and coordinated with bearer network. This is done through real-time network & video traffic load monitoring. In addition, CDN performance health based redundancy node configuration was considered, and bearer network transmission resource planning & configuration to meet the massive and concurrent video traffic requirement according to CDN load to minimize the impact. It also supports SDN based CDN traffic dynamic and flexible scheduling, enhance the efficiency of network resource, guarantee massive traffic and high concurrency mobile video service experience.
Sensitive quality of mobile video service: core network support VIP users, key events and time dimension, video hotspot and OTT video customized QoS strategy design, and a full range of mobile video service quality enhancement.
Mobile Video Quality Centric Optimization
To guarantee mobile video service reputation competitiveness and improve brand continuously, video service quality routine monitoring and analysis are necessary, HUAWEI professional services through TOP cell monitoring and video service quality complaints data to achieve accurate video quality problems demarcation and root cause locating by associated E2E data source analysis. In addition design special optimization activities according to the problems which occurred in different network domain, such as wireless site topology optimization to reduce interference; automatic cell parameters planning for fast video quality improvement; bearer network traffic load scheduling to enhance the transmission resources utilization and reduce video traffic transmission latency；core network can carry out QoS strategy & portfolio optimization, TCP packet fragmentation and cache optimization, through end to end optimization configuration for rapid problem processing and closed loop, to ensure the superior quality of routine mobile video service and improve customer satisfaction.
According to the latest statistics of HUAWEI mLAB, the terminal screen resolution support 720P and above has reached 77%, 720P has become the basic configuration of mobile terminal video service applications at the same time, according to YouTube, the video content resolution is 720P and above as high as 51% in 2015, this data with rapid growth with the popularity of 4G network deployment, video service and geographical distribution imbalance will become more prominent, the hotspots network capacity will face frequent impact, network resource configuration and planning period will be greatly shortened, continuous iteration of the network resource evaluation, planning and configuration will become the necessary, which can guarantee the sustainable competitiveness of service and brand, win a good reputation of the user experience and market growth.