Enhanced Power Allocation Algorithms for Uplink Mixed ADCS Massive MIMO Systems

Abstract

This paper considers the enhanced power allocation algorithms for uplink mixed analog-to-digital converters (ADCs) massive multiple-input multiple- output (MIMO) systems. With the maximal-ratio combining (MRC) receiver and the linear additive quantization noise model (AQNM), the closed-form expression for the uplink spectral efficiency (SE) is derived. Based on the obtained achievable SE, a mixed quality-of-service (QoS) power allocation algorithm is designed first, in which the target users can meet their QoS constraints. Besides, considering the fact that in the future practical communication scenarios, some urgent emerging situations such as driverless vehicles, tele- surgery, and real-time data analytics usually require a higher SE than others. A weighted max-min power allocation algorithm is also explored in this paper. In particular, both the two power allocation algorithms can be characterized as geometric programmings (GPs). Numerical results are provided to compare the difference and verify the effectiveness of the proposed enhanced power allocation algorithms.