Fifth generation (5G)cellular and the network for tomorrow: cognitive and cooperative approach for energy savings

Mobile computing and fast wireless connections are working in tandem to satisfy an inherent human and business continuous growing data demand. Moreover, machine-to-machine communications will further expand the demand to even higher levels. In addition, Internet of Things (IoT) and Industrial IoT (IIoT) created-data will contribute to increasing such demand by 100 and possibly 1000 folds. This increase in demand can be supported by densification and expansion of wireless networks. Such expansion poses new challenge on energy efficiency. This paper presents several techniques to enable energy savings for both devices and infrastructure. These techniques are based on cognitive and cooperative concepts to enable low power network acquisition, energy efficient paging, and dynamic/opportunistic network energy savings. A simulation analysis based on the information from a commercially deployed network presents a promising results on the possible infrastructure energy saving gains as well as a seamless location service offering.