A Perspective on Degrees of Freedom for Radar in Radar-Communication Interference Channel

Yuanhao Cui, Visa Koivunen, Xiaojun Jing

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

9 Citations (Scopus)

Abstract

Interference management is a key issue for radar-communication spectrum sharing. Degrees of Freedom (DoF) is a powerful tool to analyze and evaluate the performance of techniques in multi-user interference management scenarios. However, DoF have been studied in detail in communications systems but rarely considered in radar literature. In this paper, we propose a definition of DoF for radar using Rényi information dimension. The definition and properties of Rényi entropy and information dimension are considered. The relationships among radar DoF, diversity order, and diversity gain are studied as well. It is shown that radar diversity gain is controlled by radar DoF such that maximizing DoF leads to maximizing available diversity gain under Neyman-Pearson detection strategy. When exponential distribution assumption is applied, radar DoF equals to diversity gain. The single-user DoF upper bound is established as well. We also proposed a DoF formula for K-{c}+K-{r} -users radar-communication interference channel. It is shown that interference alignment strategy [1] still works well in K-{c}+K-{r} -users radar-communication interference channel.

Original languageEnglish
Title of host publicationConference of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE
Pages403-408
Number of pages6
ISBN (Electronic)9781538692189
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Conference publication
EventAsilomar Conference on Signals, Systems & Computers - Pacific Grove, United States
Duration: 28 Oct 201831 Oct 2018
Conference number: 52

Publication series

NameAsilomar Conference on Signals, Systems, and Computers proceedings
ISSN (Electronic)1058-6393

Conference

ConferenceAsilomar Conference on Signals, Systems & Computers
Abbreviated titleACSSC
Country/TerritoryUnited States
CityPacific Grove
Period28/10/201831/10/2018

Keywords

  • degrees of freedom
  • information dimension
  • interference alignment
  • radar DoF
  • radar-communication coexistence
  • spectrum sharing

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