Joint MMSE transceiver design for downlink heterogeneous network

Zhannan Li, Hangsong Yan, I-Tai Lu

Research output: Contribution to journalArticle

Abstract

In this paper, we propose a minimum mean square error (MMSE) based transceiver design scheme for a downlink multiple-input multiple-output two-tier heterogeneous network with general linear equality per-cell power constraints. Three practical channel models with both perfect and imperfect channel state information are used in simulations. In each channel model, we consider two system configurations, two data transmission schemes and two cellular cooperation scenarios. Our study shows that the proposed MMSE scheme is more flexible than interference alignment (IA) based scheme. For the cases where the IA-type scheme is applicable, the proposed scheme generally outperforms IA-type scheme in terms of average sum rate and bit error rate, but is computationally more complex than the IA-type scheme.

Original languageEnglish (US)
Pages (from-to)1-14
Number of pages14
JournalWireless Networks
DOIs
StateAccepted/In press - Apr 16 2018

Fingerprint

Heterogeneous networks
Transceivers
Mean square error
Channel state information
Bit error rate
Data communication systems

Keywords

  • Heterogeneous networks
  • Interference alignment
  • MIMO
  • MMSE

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Joint MMSE transceiver design for downlink heterogeneous network. / Li, Zhannan; Yan, Hangsong; Lu, I-Tai.

In: Wireless Networks, 16.04.2018, p. 1-14.

Research output: Contribution to journalArticle

@article{53924c5dcf794e6286c4eeae3394727e,
title = "Joint MMSE transceiver design for downlink heterogeneous network",
abstract = "In this paper, we propose a minimum mean square error (MMSE) based transceiver design scheme for a downlink multiple-input multiple-output two-tier heterogeneous network with general linear equality per-cell power constraints. Three practical channel models with both perfect and imperfect channel state information are used in simulations. In each channel model, we consider two system configurations, two data transmission schemes and two cellular cooperation scenarios. Our study shows that the proposed MMSE scheme is more flexible than interference alignment (IA) based scheme. For the cases where the IA-type scheme is applicable, the proposed scheme generally outperforms IA-type scheme in terms of average sum rate and bit error rate, but is computationally more complex than the IA-type scheme.",
keywords = "Heterogeneous networks, Interference alignment, MIMO, MMSE",
author = "Zhannan Li and Hangsong Yan and I-Tai Lu",
year = "2018",
month = "4",
day = "16",
doi = "10.1007/s11276-018-1727-y",
language = "English (US)",
pages = "1--14",
journal = "Wireless Networks",
issn = "1022-0038",
publisher = "Springer Netherlands",

}

TY - JOUR

T1 - Joint MMSE transceiver design for downlink heterogeneous network

AU - Li, Zhannan

AU - Yan, Hangsong

AU - Lu, I-Tai

PY - 2018/4/16

Y1 - 2018/4/16

N2 - In this paper, we propose a minimum mean square error (MMSE) based transceiver design scheme for a downlink multiple-input multiple-output two-tier heterogeneous network with general linear equality per-cell power constraints. Three practical channel models with both perfect and imperfect channel state information are used in simulations. In each channel model, we consider two system configurations, two data transmission schemes and two cellular cooperation scenarios. Our study shows that the proposed MMSE scheme is more flexible than interference alignment (IA) based scheme. For the cases where the IA-type scheme is applicable, the proposed scheme generally outperforms IA-type scheme in terms of average sum rate and bit error rate, but is computationally more complex than the IA-type scheme.

AB - In this paper, we propose a minimum mean square error (MMSE) based transceiver design scheme for a downlink multiple-input multiple-output two-tier heterogeneous network with general linear equality per-cell power constraints. Three practical channel models with both perfect and imperfect channel state information are used in simulations. In each channel model, we consider two system configurations, two data transmission schemes and two cellular cooperation scenarios. Our study shows that the proposed MMSE scheme is more flexible than interference alignment (IA) based scheme. For the cases where the IA-type scheme is applicable, the proposed scheme generally outperforms IA-type scheme in terms of average sum rate and bit error rate, but is computationally more complex than the IA-type scheme.

KW - Heterogeneous networks

KW - Interference alignment

KW - MIMO

KW - MMSE

UR - http://www.scopus.com/inward/record.url?scp=85045426536&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045426536&partnerID=8YFLogxK

U2 - 10.1007/s11276-018-1727-y

DO - 10.1007/s11276-018-1727-y

M3 - Article

AN - SCOPUS:85045426536

SP - 1

EP - 14

JO - Wireless Networks

JF - Wireless Networks

SN - 1022-0038

ER -