Liquid Radio enables a more economic use of network resources through sharing and redistributing capacity based on user demand. Nokia Siemens Networks has also announced its innovative Flexi Multiradio Antenna System as part of the Liquid Radio architecture. Nokia-Siemens Network expects to begin to deploy this architecture during 2011.
Liquid Radio: “Liquids are unconstrained, streaming to fill any gap or space,” said Thorsten Robrecht, head of Network Systems product management, Nokia Siemens Networks. “In the same way, our Liquid Radio architecture removes the constraints of traditional mobile broadband networks to address the ‘ebb and flow’ of traffic created by users’ movements across the network. We foresee demand for network capacity increasing to up to 1 GB per user per day. Not only will this require substantial network investments, but also a unique combination of base station sites for wide area coverage complemented by Wifi and small, compact micro, pico and femto cells. Nokia Siemens Networks Liquid Radio ensures that existing network investments are fully leveraged and that future investments deliver the return necessary to support today’s pressing challenge of maintaining and transitioning GSM, evolving 3G and introducing LTE and LTE-Advanced.”
Flexi Multiradio Antenna System: Nokia Siemens Networks’ Flexi Multiradio Antenna System is based on active antenna technology that combines antenna and radio part in one functional enclosure, built with dedicated power amplifiers for each antenna element which allows focusing on a particular radio connection and directing it to a specific user – as well as handling of multiple technologies in one unit. It delivering up to 65% capacity gain exectly where the user requires it. This approach reduces management complexity and allows connectivity for different layers of the network in one unified network and user experience. This is orchestrated by the company’s Self Organizing Networks (SON) capability and its continuous evolution to fully support cognitive self learning and adaptive networks.
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