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

Yuanhao Cui; Visa Koivunen; Xiaojun Jing

doi:10.1109/ACSSC.2018.8645069

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 proceeding › Conference contribution › Scientific › peer-review

1 Citation (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 language	English
Title of host publication	Conference of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Editors	Michael B. Matthews
Publisher	IEEE
Pages	403-408
Number of pages	6
ISBN (Electronic)	9781538692189
DOIs	https://doi.org/10.1109/ACSSC.2018.8645069
Publication status	Published - 2018
MoE publication type	A4 Article in a conference publication
Event	Asilomar Conference on Signals, Systems & Computers - Pacific Grove, United States Duration: 28 Oct 2018 → 31 Oct 2018 Conference number: 52

Publication series

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

Conference

Conference	Asilomar Conference on Signals, Systems & Computers
Abbreviated title	ACSSC
Country	United States
City	Pacific Grove
Period	28/10/2018 → 31/10/2018

Keywords

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

Access to Document

10.1109/ACSSC.2018.8645069

Link to publication in Scopus

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Cui, Y., Koivunen, V., & Jing, X. (2018). A Perspective on Degrees of Freedom for Radar in Radar-Communication Interference Channel. In M. B. Matthews (Ed.), Conference of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 403-408). [8645069] (Asilomar Conference on Signals, Systems, and Computers proceedings). IEEE. https://doi.org/10.1109/ACSSC.2018.8645069

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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 R{\'e}nyi information dimension. The definition and properties of R{\'e}nyi 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.",

keywords = "degrees of freedom, information dimension, interference alignment, radar DoF, radar-communication coexistence, spectrum sharing",

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Cui, Y, Koivunen, V & Jing, X 2018, A Perspective on Degrees of Freedom for Radar in Radar-Communication Interference Channel. in MB Matthews (ed.), Conference of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018., 8645069, Asilomar Conference on Signals, Systems, and Computers proceedings, IEEE, pp. 403-408, Asilomar Conference on Signals, Systems & Computers, Pacific Grove, United States, 28/10/2018. https://doi.org/10.1109/ACSSC.2018.8645069

A Perspective on Degrees of Freedom for Radar in Radar-Communication Interference Channel. / Cui, Yuanhao; Koivunen, Visa; Jing, Xiaojun.

Conference of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. ed. / Michael B. Matthews. IEEE, 2018. p. 403-408 8645069 (Asilomar Conference on Signals, Systems, and Computers proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Jing, Xiaojun

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PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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T3 - Asilomar Conference on Signals, Systems, and Computers proceedings

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EP - 408

BT - Conference of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018

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PB - IEEE

T2 - Asilomar Conference on Signals, Systems & Computers

Y2 - 28 October 2018 through 31 October 2018

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Cui Y, Koivunen V, Jing X. A Perspective on Degrees of Freedom for Radar in Radar-Communication Interference Channel. In Matthews MB, editor, Conference of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. IEEE. 2018. p. 403-408. 8645069. (Asilomar Conference on Signals, Systems, and Computers proceedings). https://doi.org/10.1109/ACSSC.2018.8645069