Opportunistic interference alignment in poor scattering channels

Jangho Yoon, Won-Yong Shin, Hwang Soo Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Opportunistic interference alignment (OIA) is known to achieve the optimal degrees of freedom (DoF) in the interfering multiple-access channel (IMAC) with independent and identically distributed (i.i.d.) Rayleigh fading, provided that a certain user scaling condition is satisfied. We analyze the performance of OIA in a poor scattering K-cell single-input multiple-output IMAC, where there exist finite paths between the transmitter and receiver sides. Under the feasible model, we characterize a lower bound on the cumulative density function (cdf) of the leakage of interference (LIF) generated by each mobile station (MS) and then derive a new fundamental user scaling law that is, required to achieve a target DoF, which generalizes the existing achievability result shown for the i.i.d. Rayleigh fading case. Our main result indicates that KS DoF is achievable if the number of per-cell MSs scales at least as SNR K-1\min(L,S), where L denotes the number of paths and S denotes the number of simultaneously transmitting MSs per cell. We also show how to obtain the non-integer DoF when the above user scaling condition is not strictly satisfied for given system parameters. To verify our achievability result for finite system parameters, computer simulations are performed along with comparison to the i.i.d. Rayleigh channel case. The amount of LIF is first evaluated numerically and is shown to be consistent with our theoretical result. The achievable sum rates are also evaluated.

Original languageEnglish
Article number7027206
Pages (from-to)768-779
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Volume65
Issue number2
DOIs
Publication statusPublished - 2016 Feb 1

Fingerprint

Rayleigh fading
Alignment
Interference
Degree of freedom
Scattering
Identically distributed
Multiple Access Channel
Rayleigh Fading
Scaling laws
Leakage
Probability density function
Transmitters
Cell
Scaling
Denote
Path
Computer simulation
Scaling Laws
Density Function
Rayleigh

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

@article{543623d0634a4ab090d4d428eb944f3b,
title = "Opportunistic interference alignment in poor scattering channels",
abstract = "Opportunistic interference alignment (OIA) is known to achieve the optimal degrees of freedom (DoF) in the interfering multiple-access channel (IMAC) with independent and identically distributed (i.i.d.) Rayleigh fading, provided that a certain user scaling condition is satisfied. We analyze the performance of OIA in a poor scattering K-cell single-input multiple-output IMAC, where there exist finite paths between the transmitter and receiver sides. Under the feasible model, we characterize a lower bound on the cumulative density function (cdf) of the leakage of interference (LIF) generated by each mobile station (MS) and then derive a new fundamental user scaling law that is, required to achieve a target DoF, which generalizes the existing achievability result shown for the i.i.d. Rayleigh fading case. Our main result indicates that KS DoF is achievable if the number of per-cell MSs scales at least as SNR K-1\min(L,S), where L denotes the number of paths and S denotes the number of simultaneously transmitting MSs per cell. We also show how to obtain the non-integer DoF when the above user scaling condition is not strictly satisfied for given system parameters. To verify our achievability result for finite system parameters, computer simulations are performed along with comparison to the i.i.d. Rayleigh channel case. The amount of LIF is first evaluated numerically and is shown to be consistent with our theoretical result. The achievable sum rates are also evaluated.",
author = "Jangho Yoon and Won-Yong Shin and Lee, {Hwang Soo}",
year = "2016",
month = "2",
day = "1",
doi = "10.1109/TVT.2015.2398114",
language = "English",
volume = "65",
pages = "768--779",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

Opportunistic interference alignment in poor scattering channels. / Yoon, Jangho; Shin, Won-Yong; Lee, Hwang Soo.

In: IEEE Transactions on Vehicular Technology, Vol. 65, No. 2, 7027206, 01.02.2016, p. 768-779.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Opportunistic interference alignment in poor scattering channels

AU - Yoon, Jangho

AU - Shin, Won-Yong

AU - Lee, Hwang Soo

PY - 2016/2/1

Y1 - 2016/2/1

N2 - Opportunistic interference alignment (OIA) is known to achieve the optimal degrees of freedom (DoF) in the interfering multiple-access channel (IMAC) with independent and identically distributed (i.i.d.) Rayleigh fading, provided that a certain user scaling condition is satisfied. We analyze the performance of OIA in a poor scattering K-cell single-input multiple-output IMAC, where there exist finite paths between the transmitter and receiver sides. Under the feasible model, we characterize a lower bound on the cumulative density function (cdf) of the leakage of interference (LIF) generated by each mobile station (MS) and then derive a new fundamental user scaling law that is, required to achieve a target DoF, which generalizes the existing achievability result shown for the i.i.d. Rayleigh fading case. Our main result indicates that KS DoF is achievable if the number of per-cell MSs scales at least as SNR K-1\min(L,S), where L denotes the number of paths and S denotes the number of simultaneously transmitting MSs per cell. We also show how to obtain the non-integer DoF when the above user scaling condition is not strictly satisfied for given system parameters. To verify our achievability result for finite system parameters, computer simulations are performed along with comparison to the i.i.d. Rayleigh channel case. The amount of LIF is first evaluated numerically and is shown to be consistent with our theoretical result. The achievable sum rates are also evaluated.

AB - Opportunistic interference alignment (OIA) is known to achieve the optimal degrees of freedom (DoF) in the interfering multiple-access channel (IMAC) with independent and identically distributed (i.i.d.) Rayleigh fading, provided that a certain user scaling condition is satisfied. We analyze the performance of OIA in a poor scattering K-cell single-input multiple-output IMAC, where there exist finite paths between the transmitter and receiver sides. Under the feasible model, we characterize a lower bound on the cumulative density function (cdf) of the leakage of interference (LIF) generated by each mobile station (MS) and then derive a new fundamental user scaling law that is, required to achieve a target DoF, which generalizes the existing achievability result shown for the i.i.d. Rayleigh fading case. Our main result indicates that KS DoF is achievable if the number of per-cell MSs scales at least as SNR K-1\min(L,S), where L denotes the number of paths and S denotes the number of simultaneously transmitting MSs per cell. We also show how to obtain the non-integer DoF when the above user scaling condition is not strictly satisfied for given system parameters. To verify our achievability result for finite system parameters, computer simulations are performed along with comparison to the i.i.d. Rayleigh channel case. The amount of LIF is first evaluated numerically and is shown to be consistent with our theoretical result. The achievable sum rates are also evaluated.

UR - http://www.scopus.com/inward/record.url?scp=84962184397&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962184397&partnerID=8YFLogxK

U2 - 10.1109/TVT.2015.2398114

DO - 10.1109/TVT.2015.2398114

M3 - Article

VL - 65

SP - 768

EP - 779

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 2

M1 - 7027206

ER -