Data has become a key asset in today's wireless network design. Protocols, strategies, and applications/services in wireless networks can benefit from the intelligence mined and learnt from data collected from the widely deployed "sensors" in the network. Carrying out analysis of data patterns and trends to make intelligent decisions for today's wireless network design is appealing to both academia and industry. The aim of this special issue is to promote the state of the art in scientific and practical research on big data intelligence for wireless network design and to bring together researchers and practitioners from academia and industry in an effort to present their research work and share research and development ideas.
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