MULTI-OBJECTIVE SIGNAL PROCESSING OPTIMIZATION: THEWAY TO BALANCE CONFLICTING METRICS IN 5G SYSTEMS

The evolution of cellular networks is driven by the dream of ubiquitous wireless connectivity: Any data service is in-stantly accessible everywhere. With each generation of cel-lular networks, we have moved closer to this wireless dream; first by delivering wireless access to voice communications, then by providing wireless data services, and recently by de-livering a WiFi-like experience with wide-area coverage and user mobility management. The support for high data rates has been the main objective in recent years [1], as seen from the academic focus on sum-rate optimization and the efforts from standardization bodies to meet the peak rate require-ments specified in IMT-Advanced. In contrast, a variety of metrics/objectives are put forward in the technological prepa-rations for 5G networks: higher peak rates, improved cover-age with uniform user experience, higher reliability and lowe