Blind Interference Alignment in 6G Optical Wireless Communications

TL;DR

This paper explores blind interference alignment (BIA) in 6G optical wireless communications, proposing topological BIA to improve performance without requiring channel state information, addressing limitations of standard BIA.

Contribution

It introduces topological BIA for OWC systems, enhancing multiplexing gain and reducing noise issues compared to standard BIA, without needing channel state information.

Findings

Topological BIA significantly outperforms standard BIA.

Network and user-centric topologies improve interference management.

Enhanced multiplexing gain achieved in OWC systems.

Abstract

In recent years, the demand for high speed wireless networking has increased considerably due to the enormous number of devices connected to the Internet. In this context, optical wireless communication (OWC) has received tremendous interest in the context of next generation wireless networks where OWC offers a huge unlicensed bandwidth using optical bands. OWC systems are directional and can naturally provide multiple-input and multiple-output (MIMO) configurations serving multiple users using a high number of transmitters in the indoor environment to ensure coverage. Therefore, multiuser interference must be managed efficiently to enhance the performance of OWC networks considering different metrics. A transmission scheme referred to as blind interference alignment (BIA) is proposed for OWC systems to maximize the multiplexing gain without the need for channel state information (CSI) at the transmitters, which is difficult to achieve in MIMO scenarios. However, standard BIA avoids the need for CSI at the cost of requiring channel coherence time large enough for transmitting the whole transmission block. Moreover, the methodology of BIA results in increased noise with increase in the number of transmitters and users. Therefore, various network topologies such as network centric (NC) and user centric (UC) designs are proposed to relax the limitations of BIA where these topologies divide the receiving area into multiple clusters. The results show a significant enhancement in the performance of topological BIA compared with standard BIA.