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Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks
IEEE Journal on Selected Areas in Communications ( IF 16.4 ) Pub Date : 2020-12-15 , DOI: 10.1109/jsac.2020.3036785
Geoffrey Y. Li , Walid Saad , Ayfer Ozgur , Peter Kairouz , Zhijin Qin , Jakob Hoydis , Zhu Han , Deniz Gunduz , Jaafar Elmirghani

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.

中文翻译:

系列社论:通信和网络中机器学习系列的开幕式

在新一代通信系统时代,数据通信量将持续给未来的通信网络增加容量。随着数据流量的显着增长,可穿戴设备,自治系统和物联网(IoT)等新应用程序不断涌现,并产生了更多需求截然不同的数据流量。应用领域的这种增长提出了对未来通信网络进行更加智能的处理,操作和优化的必然需求。
更新日期:2020-12-18
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