Mobile Minute: Keeping data flowing in even in the most crowded environments is an important goal for Japan’s SoftBank Mobile, and to that end the company has partnered with Ericsson. SoftBank Mobile will deploy Ericsson’s “mobility-based” policy solution, which directly connects the mobility management entity (MME) to the policy controller. Information about the user and his/her connection quality can go directly to the policy server, and policy to control the user experience goes directly back to the MME, bypassing the service gateway. Ericsson notes that offloading the gateway will reduce network signaling traffic. SoftBank Mobile says that dynamically allocating radio resources on a per-user basis will help optimize spectrum. SoftBank, of course, is the majority owner of Sprint, and much of Sprint’s network runs on Ericsson equipment. However, Sprint did not choose Ericsson as a vendor for its current Sprint Spark LTE rollout. Ericsson is the network manager for that project. |
Other top stories:
Verizon Communications commissioned a Harvard Business Review study which found that 74% of companies that have adopted cloud technology say … Read More
Wireless infrastructure service providers are adding new competencies in an effort to take advantage of the demand for DAS. … Read More
Apple not on the menu for Chinese government |

SoftBank Mobile taps Ericsson for policy (RCR Mobile Minute)
ABOUT AUTHOR
Jump to Article
What infra upgrades are needed to handle AI energy spikes?
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants