Power-Domain Interference Graph Estimation for Full-Duplex Millimeter-Wave Backhauling

TL;DR

This paper introduces a novel power-based interference graph estimation method for full-duplex millimeter-wave backhaul networks, enabling simultaneous data transmission and interference measurement without resource competition.

Contribution

It proposes a linear system approach using power control to accurately estimate interference links, integrating resource allocation and interference graph estimation.

Findings

Accurate interference graph estimation with minimal extra power

Method is robust to time and frequency offsets

Simulations confirm effectiveness in mmWave backhaul networks

Abstract

Traditional wisdom for network resource management allocates separate frequency-time resources for measurement and data transmission tasks. As a result, the two types of tasks have to compete for resources, and a heavy measurement task inevitably reduces available resources for data transmission. This prevents interference graph estimation (IGE), a heavy yet important measurement task, from being widely used in practice. To resolve this issue, we propose to use power as a new dimension for interference measurement in full-duplex millimeter-wave backhaul networks, such that data transmission and measurement can be done simultaneously using the same frequency-time resources. Our core insight is to consider the mmWave network as a linear system, where the received power of a node is a linear combination of the channel gains. By controlling the powers of transmitters, we can find unique solutions for the channel gains of interference links and use them to estimate the interference. To accomplish resource allocation and IGE simultaneously, we jointly optimize resource allocation and IGE with power control. Extensive simulations show that significant links in the interference graph can be accurately estimated with minimal extra power consumption, independent of the time and carrier frequency offsets between nodes.