Opportunistic interference alignment for MIMO interfering multiple-access channels

Hyun Jong Yang, Won Yong Shin, Bang Chul Jung, Arogyaswami Paulraj

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

We consider the K-cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with time-invariant channel coefficients, where each cell consists of a base station (BS) with M antennas and N users having L antennas each. In this paper, we propose two opportunistic interference alignment (OIA) techniques utilizing multiple transmit antennas at each user: antenna selection-based OIA and singular value decomposition (SVD)-based OIA. Their performance is analyzed in terms of user scaling law required to achieve KS degrees-of-freedom (DoF), where S(≤ M) denotes the number of simultaneously transmitting users per cell. We assume that each selected user transmits a single data stream at each time-slot. It is shown that the antenna selection-based OIA does not fundamentally change the user scaling condition if L is fixed, compared with the single-input multiple-output (SIMO) IMAC case, which is given by SNR(K-1)S, where SNR denotes the signal-to-noise ratio. In addition, we show that the SVD-based OIA can greatly reduce the user scaling condition to SNR(K-1)S-L+1 through optimizing a weight vector at each user. Simulation results validate the derived scaling laws of the proposed OIA techniques. The sum-rate performance of the proposed OIA techniques is compared with the conventional techniques in MIMO IMAC channels and it is shown that the proposed OIA techniques outperform the conventional techniques.

Original languageEnglish
Article number6493532
Pages (from-to)2180-2192
Number of pages13
JournalIEEE Transactions on Wireless Communications
Volume12
Issue number5
DOIs
Publication statusPublished - 2013 Apr 5

Fingerprint

Multiple Access Channel
Multiple-input multiple-output (MIMO)
Alignment
Interference
Antennas
Antenna Selection
Antenna
Scaling laws
Scaling Laws
Singular value decomposition
Cell
Scaling
Denote
Data Streams
Base stations
Signal to noise ratio
Degree of freedom
Invariant
Output
Coefficient

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Yang, Hyun Jong ; Shin, Won Yong ; Jung, Bang Chul ; Paulraj, Arogyaswami. / Opportunistic interference alignment for MIMO interfering multiple-access channels. In: IEEE Transactions on Wireless Communications. 2013 ; Vol. 12, No. 5. pp. 2180-2192.
@article{518efb78ecc245f1b417d0a2432d4ecc,
title = "Opportunistic interference alignment for MIMO interfering multiple-access channels",
abstract = "We consider the K-cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with time-invariant channel coefficients, where each cell consists of a base station (BS) with M antennas and N users having L antennas each. In this paper, we propose two opportunistic interference alignment (OIA) techniques utilizing multiple transmit antennas at each user: antenna selection-based OIA and singular value decomposition (SVD)-based OIA. Their performance is analyzed in terms of user scaling law required to achieve KS degrees-of-freedom (DoF), where S(≤ M) denotes the number of simultaneously transmitting users per cell. We assume that each selected user transmits a single data stream at each time-slot. It is shown that the antenna selection-based OIA does not fundamentally change the user scaling condition if L is fixed, compared with the single-input multiple-output (SIMO) IMAC case, which is given by SNR(K-1)S, where SNR denotes the signal-to-noise ratio. In addition, we show that the SVD-based OIA can greatly reduce the user scaling condition to SNR(K-1)S-L+1 through optimizing a weight vector at each user. Simulation results validate the derived scaling laws of the proposed OIA techniques. The sum-rate performance of the proposed OIA techniques is compared with the conventional techniques in MIMO IMAC channels and it is shown that the proposed OIA techniques outperform the conventional techniques.",
author = "Yang, {Hyun Jong} and Shin, {Won Yong} and Jung, {Bang Chul} and Arogyaswami Paulraj",
year = "2013",
month = "4",
day = "5",
doi = "10.1109/TWC.2013.032113.120673",
language = "English",
volume = "12",
pages = "2180--2192",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

Opportunistic interference alignment for MIMO interfering multiple-access channels. / Yang, Hyun Jong; Shin, Won Yong; Jung, Bang Chul; Paulraj, Arogyaswami.

In: IEEE Transactions on Wireless Communications, Vol. 12, No. 5, 6493532, 05.04.2013, p. 2180-2192.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Opportunistic interference alignment for MIMO interfering multiple-access channels

AU - Yang, Hyun Jong

AU - Shin, Won Yong

AU - Jung, Bang Chul

AU - Paulraj, Arogyaswami

PY - 2013/4/5

Y1 - 2013/4/5

N2 - We consider the K-cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with time-invariant channel coefficients, where each cell consists of a base station (BS) with M antennas and N users having L antennas each. In this paper, we propose two opportunistic interference alignment (OIA) techniques utilizing multiple transmit antennas at each user: antenna selection-based OIA and singular value decomposition (SVD)-based OIA. Their performance is analyzed in terms of user scaling law required to achieve KS degrees-of-freedom (DoF), where S(≤ M) denotes the number of simultaneously transmitting users per cell. We assume that each selected user transmits a single data stream at each time-slot. It is shown that the antenna selection-based OIA does not fundamentally change the user scaling condition if L is fixed, compared with the single-input multiple-output (SIMO) IMAC case, which is given by SNR(K-1)S, where SNR denotes the signal-to-noise ratio. In addition, we show that the SVD-based OIA can greatly reduce the user scaling condition to SNR(K-1)S-L+1 through optimizing a weight vector at each user. Simulation results validate the derived scaling laws of the proposed OIA techniques. The sum-rate performance of the proposed OIA techniques is compared with the conventional techniques in MIMO IMAC channels and it is shown that the proposed OIA techniques outperform the conventional techniques.

AB - We consider the K-cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with time-invariant channel coefficients, where each cell consists of a base station (BS) with M antennas and N users having L antennas each. In this paper, we propose two opportunistic interference alignment (OIA) techniques utilizing multiple transmit antennas at each user: antenna selection-based OIA and singular value decomposition (SVD)-based OIA. Their performance is analyzed in terms of user scaling law required to achieve KS degrees-of-freedom (DoF), where S(≤ M) denotes the number of simultaneously transmitting users per cell. We assume that each selected user transmits a single data stream at each time-slot. It is shown that the antenna selection-based OIA does not fundamentally change the user scaling condition if L is fixed, compared with the single-input multiple-output (SIMO) IMAC case, which is given by SNR(K-1)S, where SNR denotes the signal-to-noise ratio. In addition, we show that the SVD-based OIA can greatly reduce the user scaling condition to SNR(K-1)S-L+1 through optimizing a weight vector at each user. Simulation results validate the derived scaling laws of the proposed OIA techniques. The sum-rate performance of the proposed OIA techniques is compared with the conventional techniques in MIMO IMAC channels and it is shown that the proposed OIA techniques outperform the conventional techniques.

UR - http://www.scopus.com/inward/record.url?scp=84878630647&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878630647&partnerID=8YFLogxK

U2 - 10.1109/TWC.2013.032113.120673

DO - 10.1109/TWC.2013.032113.120673

M3 - Article

AN - SCOPUS:84878630647

VL - 12

SP - 2180

EP - 2192

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 5

M1 - 6493532

ER -