Altobridge Intros Self-Learning Small Cell

Meshed caching, and self-learning content pre-positioning, reduce backhaul costs by 70 percent

April 17, 2013

1 Min Read

KERRY TECHNOLOGY PARK, Ireland -- Altobridge (www.altobridge.com), specialists in technology that cuts the cost of communicating across wireless networks, has today announced the launch of its latest mobile data optimisation solution. The self-learning solution for multi-radio small cells reduces mobile data backhaul costs in urban and rural networks by at least 70% through its meshed caching and content pre-positioning capabilities.The development is a further evolution of Data-at-the-Edge™ (DatE™) which is already commercially deployed on rural 3G small cells on the Maxis network in Malaysia, where through RAN caching alone, backhaul savings in excess of 40% are being achieved.“We are now taking Data-at-the-Edge™ to another level,” said Mike Fitzgerald, Chief Executive, Altobridge. Less than 6 months ago, we commercially launched DatE™ and proved that content caching on 3G small cells at the edge of the network, conclusively reduced backhauled data by over 40%. Now, with the addition of aggregated, shared caching for co-located 3G, 4G and WiFi small cells, plus the ability to predict and pre-position popular content at each cell site, DatE™ reduces mobile data backhaul requirements by at least 70%,” he added.Altobridge Ltd.

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