Abstract
This paper addresses energy efficiency (EE) of large scale antenna systems (LSAS) or massive MIMO based cellular networks. We propose a joint technique that combines a novel successive discontinuous transmission (SDTx) scheme with antenna array optimization (AAO). The SDTx utilizes information regarding the users' requirements and properties to deliver data efficiently and without compromising the users' service. On the other hand, AAO further reduces power consumption through minimizing the number of active antenna elements. Users requirements include bit rate and latency requirement while the users properties include pathloss between users and macro base station (MBS) and users' movement. It will be shown that, relative to conventional LSAS, the proposed scheduling significantly improves the EE of LSAS network for various network load under practical users' requirement in dense urban environment making it a potential candidate for green cellular networks.
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