Qualcomm sells 4G spectrum to Three and Vodafone
The two companies wil use L-Band to boost their 4G coverage around the UK
Three and Vodafone have purchased some of Qualcomm's L-Band spectrum to boost coverage of their respective 4G networks around the UK.
Qualcomm said the L-Band spectrum has been approved for 4G use by the EU and can be used "for Supplemental Downlink, helping mobile network operators meet the global demand for increased mobile data traffic."
Reports suggest that the two companies paid 200 million for the extra 4G bandwidth, although neither company has confirmed how much they spent on the infrastructure improvements.
Ofcom will now need to conduct a review into the proposed purchase before Vodafone takes over Qualcomm's share of the 20MHz spectrum and Three takes the remaining 20MHz. It is unlikely that either company will be able to use the spectrum until late in 2016, because their equipment and devices will need to be upgraded in order to work.
A Three spokesperson confirmed the company had bid for spectrum held by Qualcomm, but wouldn't reveal any further details until Ofcom's review has been completed and the sale granted.
Vodafone commented: "L-Band will complement Vodafone's existing low frequency 800MHz spectrum which travels further and penetrates better through walls than other higher frequency 4G signals.
"Over time, Vodafone intends to combine the spectrum with 800MHz using a new technology called 4G+, also referred to as Carrier Aggregation, to deliver theoretical peak download speeds up to three times faster than standard 4G."
Qualcom decided to sell its L-Band spectrum back in June, but it's not known if other telecoms companies bid for the spectrum.
Security analytics for your multi-cloud deployments
IBM Security QRadar SIEM solution briefDownload now
Five reasons to move to the cloud
Join the enterprises moving their workloads to the cloudDownload now
Architecting hybrid IT and edge for digital advantage
Why business leaders should consider a hybrid IT strategyDownload now
Six reasons to accelerate remote asset monitoring with AI
How to optimise resources, increase productivity, and grow profit margins with AIDownload now