Vantrix, a global provider of intelligent media delivery solutions to mobile network operators, announces the availability of version 3.3 of its flagship product, Bandwidth Optimizer to provide enhanced intelligent optimization capabilities enabling operators to selectively apply optimization and improve subscriber quality of experience (QoE). The new release provides server-based congestion management capabilities that can automatically optimize video traffic based on current network congestion conditions without requiring any type of external probes or data from third-party sources. Bandwidth Optimizer 3.3 also introduces new congestion detection reporting metrics with real-time analytics that provide insight into current and ongoing congestion across the network. Bandwidth Optimizer now detects if a session is impaired due to either network congestion or poor cell coverage for a given user and automatically executes appropriate optimization policies. It also provides enhanced YouTube MPEG-DASH Optimization that reduces bandwidth requirements by 40-50 percent. Bandwidth Optimizer 3.3 enables service providers to deliver content to mobile devices more intelligently by optimizing traffic only when needed, providing a more consistent, high quality of experience (QoE) for subscribers even over congested or impaired networks. Bandwidth Optimizer 3.3 is available for immediate deployment.
“ Service providers are struggling to find the right balance between bandwidth optimization, revenue preservation, and overall solution cost when dealing with increasing use of mobile video by their subscribers,” said Don Vendetti, senior vice president of marketing and product management, Vantrix. “Our new release directly addresses all three issues by applying ‘surgical optimization’ only when customer QoE is compromised. This ensures minimal impact on overall data usage while also lowering the hardware requirements to deliver on-the-fly transcoding. In addition, since our solution detects session network impairment internally, it eliminates the need for complex integrations to network probes which shortens deployment cycles.”
