TY - JOUR
T1 - Special Issue on Wireless Big Data
AU - Yang, Yang
AU - Li, Jie
AU - Wang, Cheng-Xiang
AU - Tirkkonen, Olav
AU - Zhou, Ming-Tuo
PY - 2020/6/1
Y1 - 2020/6/1
N2 - The papers in this special section focus on wireless big data. Big data, which has been following the exponential growth rates in different commercial areas, has profoundly changed the way we live. It has received considerable attention in both academic and industrial communities, in contexts such as mobile communications, distributed computing, e-health, intelligent transportation systems, wireless sensor networks, etc. In the meantime, the Internet of Things (IoT) scenarios considered in the Fifth Generation (5G) wireless communication systems are expected to create many novel applications and services with various requirements [1]. These new directions bring a dramatic increase and change in the amount and types of wireless data, thus driving wireless communications into a new era. Therefore, an in-depth analysis and understanding of wireless big data can greatly facilitate better system design and performance optimization, which will certainly benefit equipment vendors, network operators and service providers.
AB - The papers in this special section focus on wireless big data. Big data, which has been following the exponential growth rates in different commercial areas, has profoundly changed the way we live. It has received considerable attention in both academic and industrial communities, in contexts such as mobile communications, distributed computing, e-health, intelligent transportation systems, wireless sensor networks, etc. In the meantime, the Internet of Things (IoT) scenarios considered in the Fifth Generation (5G) wireless communication systems are expected to create many novel applications and services with various requirements [1]. These new directions bring a dramatic increase and change in the amount and types of wireless data, thus driving wireless communications into a new era. Therefore, an in-depth analysis and understanding of wireless big data can greatly facilitate better system design and performance optimization, which will certainly benefit equipment vendors, network operators and service providers.
UR - http://www.scopus.com/inward/record.url?scp=85089764478&partnerID=8YFLogxK
U2 - 10.1109/TBDATA.2020.2966806
DO - 10.1109/TBDATA.2020.2966806
M3 - Short survey
SN - 2372-2096
VL - 6
SP - 209
EP - 210
JO - IEEE Transactions on Big Data
JF - IEEE Transactions on Big Data
IS - 2
M1 - 9098179
ER -