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

Haorui Li, Daqian Ding, Yibo Pi, Xudong Wang

TL;DR

This work proposes 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.

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.

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

TL;DR

This work proposes 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.

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.
Paper Structure (24 sections, 8 theorems, 59 equations, 13 figures, 3 tables)

This paper contains 24 sections, 8 theorems, 59 equations, 13 figures, 3 tables.

Table of Contents

  1. Introduction
  2. System Model
  3. Millimeter-Wave Backhauling
  4. Channel Model
  5. Interference Model
  6. Interference Graph Estimation: A Power-Domain Approach
  7. Estimating Interference Graph with Power Control
  8. Approximating the Expected Transmit Power
  9. Power Control Scheme for Interference Graph Estimation
  10. Error Analysis
  11. Joint Optimization for Interference Graph Estimation and Resource Allocation
  12. Problem Formulation
  13. Proposed Solution
  14. Solution to $\mathcal{P}2$
  15. Solution to $\mathcal{P}3$
  16. ...and 9 more sections

Key Result

Lemma 1

In full-duplex mmWave networks, if $\mathbb{E}[|X_k[i]|^2] = \mathbb{E}[|X_k[j]|^2]$ for $i\not=j$ and $\mathbb{E}[X_k[i]] = 0$ for all $i$'s and $k$'s, the expected receive power of node $z$ with beamforming towards node $k$ is a linear combination of the equivalent channel gains, independent of TO where $W_z$ is the expected thermal noise power.

Figures (13)

  • Figure 1: Multi-hop mmWave backhaul network
  • Figure 2: Error bounds under square $M$-QAM modulations, where $\mathbb{P}[E]$ denotes the probability of the approximation error falling beyond the tolerable range.
  • Figure 3: Power control scheme for interference graph estimation
  • Figure 4: Workflow of our proposed solution
  • Figure 5: Design parameter selection
  • ...and 8 more figures

Theorems & Definitions (9)

  • Lemma 1
  • Theorem 1
  • Theorem 2
  • Remark
  • Theorem 3
  • Theorem 4
  • Lemma 2
  • Lemma 3
  • Theorem 5