Energy Efficient Symbol-Level Precoding in Multiuser MISO Channels

TL;DR

This paper proposes a symbol-level precoding method for multiuser MISO channels that exploits interference to enhance signal quality while minimizing transmit power, using channel and data information.

Contribution

It introduces new constructive interference precoding techniques that minimize power under SINR constraints and considers relaxed detection regions for improved performance.

Findings

Achieved transmit power reduction compared to traditional methods

Enhanced SINR performance through interference exploitation

Validated effectiveness with simulation results

Abstract

This paper investigates the idea of exploiting interference among the simultaneous multiuser transmissions in the downlink of multiple antennas systems. Using symbol level precoding, a new approach towards addressing the multiuser interference is discussed through jointly utilizing the channel state information (CSI) and data information (DI). In this direction, the interference among the data streams is transformed under certain conditions to useful signal that can improve the signal to interference noise ratio (SINR) of the downlink transmissions. In this context, new constructive interference precoding techniques that tackle the transmit power minimization (min power) with individual SINR constraints at each user's receivers are proposed. Furthermore, we investigate the CI precoding design under the assumption that the received MPSK symbol can reside in a relaxed region in order to be correctly detected.