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.
Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks / Li, G. Y.; Saad, W.; Ozgur, A.; Kairouz, P.; Qin, Z.; Hoydis, J.; Han, Z.; Gunduz, D.; Elmirghani, J.. - In: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. - ISSN 0733-8716. - 39:1(2021), pp. 1-3. [10.1109/JSAC.2020.3036785]
Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks
Gunduz D.;
2021
Abstract
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.File | Dimensione | Formato | |
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