Resource Allocation in Laser-based Optical Wireless Cellular Networks

TL;DR

This paper explores resource allocation in laser-based optical wireless cellular networks, employing blind interference alignment and decentralized optimization to enhance network performance and manage interference effectively.

Contribution

It introduces a novel decentralized algorithm for optimizing resource allocation in laser-based optical wireless networks using BIA, improving efficiency and interference management.

Findings

Decentralized algorithm achieves near-optimal utility sum rate.

BIA outperforms zero forcing in laser-based networks.

Effective user classification enhances coverage and performance.

Abstract

Optical wireless communication provides data transmission at high speeds which can satisfy the increasing demands for connecting a massive number of devices to the Internet. In this paper, vertical-cavity surface-emitting(VCSEL) lasers are used as transmitters due to their high modulation speed and energy efficiency. However, a high number of VCSEL lasers is required to ensure coverage where each laser source illuminates a confined area. Therefore, multiple users are classified into different sets according to their connectivity. Given this point, a transmission scheme that uses blind interference alignment (BIA) is implemented to manage the interference in the laser-based network. In addition, an optimization problem is formulated to maximize the utility sum rate taking into consideration the classification of the users. To solve this problem, a decentralized algorithm is proposed where the main problem is divided into sub-problems, each can be solved independently avoiding complexity. The results demonstrate the optimality of the decentralized algorithm where a sub-optimal solution is provided. Finally, it is shown that BIA can provide high performance in laser-based networks compared with zero forcing (ZF) transmit precoding scheme.