Akademik Veri Yönetim Sistemi
IEEE Future Networks World Forum (FNWF), Montreal, Kanada, 12 - 14 Ekim 2022, ss.328-333
Massive multi-input multi-output (mMIMO) antenna systems deliver ultra-high data rates thanks to their favourable propagation and channel hardening phenomena. These benefits, however, come at the cost of higher base station (BS) total power consumption. Classically, such a challenge is tackled by deactivating some of the mMIMO antennas to optimize energy efficiency (EE). Optimizing EE can impact the mandated quality of service (QoS) requirements, such as guaranteed bit rate (GBR), which should be avoided. In this paper, we leverage the best response approach from the symmetric game theory to numerically solve the EE optimization for a multi-cell network and a given GBR constraint. We also propose a data traffic model that considers various user equipment capabilities and mobile data applications and translates them into a GBR level. Simulation results show that our algorithm can carefully allocate the optimal number of antennas to satisfy GBR requirements and best-possible EE targets.