MIMO Cellular Networks with Simultaneous Wireless Information and Power Transfer

TL;DR

This paper presents a stochastic geometry-based analysis of dense MIMO cellular networks enabling simultaneous wireless information and power transfer, demonstrating that multiple antennas enhance both data rates and energy harvesting.

Contribution

It introduces a mathematical framework for analyzing and optimizing dense MIMO networks with simultaneous information and power transfer capabilities.

Findings

Multiple antennas improve information rate.

Multiple antennas increase harvested power.

Stochastic geometry effectively models network performance.

Abstract

In this paper, we introduce a mathematical approach for system-level analysis and optimization of densely deployed multiple-antenna cellular networks, where low-energy devices are capable of decoding information data and harvesting power simultaneously. The base stations are assumed to be deployed according to a Poisson point process and tools from stochastic geometry are exploited to quantify the trade-off in terms of information rate and harvested power. It is shown that multiple-antenna transmission is capable of increasing information rate and harvested power at the same time.