Research on energy efficient of Downlink Distributed MIMO in Indoor Scenarios

With the increasing demands for indoor communication, enhancing indoor communication systems is imperative. Combining multiple-input multiple-output (MIMO) and distributed antenna systems (DAS), distributed MIMO systems effectively improve indoor signal coverage and channel capacity. Moreover, the flexibility of distributed MIMO enhances system energy efficiency, addressing the growing concern of energy consumption in communication system. In this paper, by assuming a typical indoor channel model and a practical power consumption model including dynamic and static power consumption, an optimization problem is formulated to maximize the system energy efficiency with respect to the power allocation. Furthermore, we utilize a low-complexity antenna selection to optimize energy efficiency for downlink distributed MIMO. Simulation results show the effectiveness of the scheme, where a flexible tradeoff between capacity and energy efficiency of system can be achieved by adjusting the threshold of antenna selection. Overall, this study contributes to the understanding and advancement of indoor distributed MIMO systems.