TY - JOUR
T1 - Series Editorial
T2 - Inauguration Issue of the Series on Machine Learning in Communications and Networks
AU - Li, Geoffrey Y.
AU - Saad, Walid
AU - Ozgur, Ayfer
AU - Kairouz, Peter
AU - Qin, Zhijin
AU - Hoydis, Jakob
AU - Han, Zhu
AU - Gunduz, Deniz
AU - Elmirghani, Jaafar
N1 - Publisher Copyright:
© 1983-2012 IEEE.
PY - 2021/1
Y1 - 2021/1
N2 - In the era of the new generation of communication systems, data traffic is expected to continuously strain the capacity of future communication networks. Along with the remarkable growth in data traffic, new applications, such as wearable devices, autonomous systems, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different requirements. This growth in the application domain brings forward an inevitable need for more intelligent processing, operation, and optimization of future communication networks.
AB - In the era of the new generation of communication systems, data traffic is expected to continuously strain the capacity of future communication networks. Along with the remarkable growth in data traffic, new applications, such as wearable devices, autonomous systems, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different requirements. This growth in the application domain brings forward an inevitable need for more intelligent processing, operation, and optimization of future communication networks.
UR - http://www.scopus.com/inward/record.url?scp=85098162796&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2020.3036785
DO - 10.1109/JSAC.2020.3036785
M3 - Editorial
AN - SCOPUS:85098162796
SN - 0733-8716
VL - 39
SP - 1
EP - 3
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 1
M1 - 9295482
ER -