Sum-Rate Maximization Schemes for K-User MISO Interference Channels With a Cognitive Relay

Hun Min Shin, Sang Rim Lee, Han Bae Kong, Inkyu Lee

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, we consider K-user multiple-input single-output interference channels with a cognitive relay. Assuming that data of all transmitters and channel state information are known at the cognitive relay, we design a linear precoder for the cognitive relay with the aim of maximizing the sum-rate without changing the transmitter operations at all transmitters. We first define the receiver set as a set which contains a part of the receivers, and then introduce a performance metric called "partial signal-to-interference-plus-noise ratio" (PSINR) based on the receiver set. Then, we can obtain a precoder at the cognitive relay by solving the PSINR maximization problem. The optimal receiver set which yields the maximum sum-rate can be identified by checking all possible receiver sets. Since this exhaustive search has prohibitive complexity, we develop a low complexity set search method by utilizing the properties of the optimal receiver set. Combining the PSINR maximization problem and the low complexity search method, we finally propose a precoder design scheme for the sum-rate maximization. Numerical simulation results confirm that the proposed scheme shows performance close to the projected gradient method with much reduced complexity.

Original languageEnglish
Article number7153577
Pages (from-to)6448-6458
Number of pages11
JournalIEEE Transactions on Wireless Communications
Volume14
Issue number11
DOIs
Publication statusPublished - 2015 Nov 1

Fingerprint

Interference Channel
Relay
Transmitters
Receiver
Transmitter
Gradient methods
Telecommunication repeaters
Channel state information
Interference
Search Methods
Partial
Low Complexity
Projected Gradient Method
Computer simulation
Exhaustive Search
Channel State Information
Performance Metrics
Numerical Simulation
Output

Keywords

  • Cognitive relay
  • Interference channels with a cognitive relay
  • MIMO systems

ASJC Scopus subject areas

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

Cite this

Sum-Rate Maximization Schemes for K-User MISO Interference Channels With a Cognitive Relay. / Shin, Hun Min; Lee, Sang Rim; Kong, Han Bae; Lee, Inkyu.

In: IEEE Transactions on Wireless Communications, Vol. 14, No. 11, 7153577, 01.11.2015, p. 6448-6458.

Research output: Contribution to journalArticle

@article{652b29e5352247d38d388ab98938f783,
title = "Sum-Rate Maximization Schemes for K-User MISO Interference Channels With a Cognitive Relay",
abstract = "In this paper, we consider K-user multiple-input single-output interference channels with a cognitive relay. Assuming that data of all transmitters and channel state information are known at the cognitive relay, we design a linear precoder for the cognitive relay with the aim of maximizing the sum-rate without changing the transmitter operations at all transmitters. We first define the receiver set as a set which contains a part of the receivers, and then introduce a performance metric called {"}partial signal-to-interference-plus-noise ratio{"} (PSINR) based on the receiver set. Then, we can obtain a precoder at the cognitive relay by solving the PSINR maximization problem. The optimal receiver set which yields the maximum sum-rate can be identified by checking all possible receiver sets. Since this exhaustive search has prohibitive complexity, we develop a low complexity set search method by utilizing the properties of the optimal receiver set. Combining the PSINR maximization problem and the low complexity search method, we finally propose a precoder design scheme for the sum-rate maximization. Numerical simulation results confirm that the proposed scheme shows performance close to the projected gradient method with much reduced complexity.",
keywords = "Cognitive relay, Interference channels with a cognitive relay, MIMO systems",
author = "Shin, {Hun Min} and Lee, {Sang Rim} and Kong, {Han Bae} and Inkyu Lee",
year = "2015",
month = "11",
day = "1",
doi = "10.1109/TWC.2015.2454496",
language = "English",
volume = "14",
pages = "6448--6458",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",

}

TY - JOUR

T1 - Sum-Rate Maximization Schemes for K-User MISO Interference Channels With a Cognitive Relay

AU - Shin, Hun Min

AU - Lee, Sang Rim

AU - Kong, Han Bae

AU - Lee, Inkyu

PY - 2015/11/1

Y1 - 2015/11/1

N2 - In this paper, we consider K-user multiple-input single-output interference channels with a cognitive relay. Assuming that data of all transmitters and channel state information are known at the cognitive relay, we design a linear precoder for the cognitive relay with the aim of maximizing the sum-rate without changing the transmitter operations at all transmitters. We first define the receiver set as a set which contains a part of the receivers, and then introduce a performance metric called "partial signal-to-interference-plus-noise ratio" (PSINR) based on the receiver set. Then, we can obtain a precoder at the cognitive relay by solving the PSINR maximization problem. The optimal receiver set which yields the maximum sum-rate can be identified by checking all possible receiver sets. Since this exhaustive search has prohibitive complexity, we develop a low complexity set search method by utilizing the properties of the optimal receiver set. Combining the PSINR maximization problem and the low complexity search method, we finally propose a precoder design scheme for the sum-rate maximization. Numerical simulation results confirm that the proposed scheme shows performance close to the projected gradient method with much reduced complexity.

AB - In this paper, we consider K-user multiple-input single-output interference channels with a cognitive relay. Assuming that data of all transmitters and channel state information are known at the cognitive relay, we design a linear precoder for the cognitive relay with the aim of maximizing the sum-rate without changing the transmitter operations at all transmitters. We first define the receiver set as a set which contains a part of the receivers, and then introduce a performance metric called "partial signal-to-interference-plus-noise ratio" (PSINR) based on the receiver set. Then, we can obtain a precoder at the cognitive relay by solving the PSINR maximization problem. The optimal receiver set which yields the maximum sum-rate can be identified by checking all possible receiver sets. Since this exhaustive search has prohibitive complexity, we develop a low complexity set search method by utilizing the properties of the optimal receiver set. Combining the PSINR maximization problem and the low complexity search method, we finally propose a precoder design scheme for the sum-rate maximization. Numerical simulation results confirm that the proposed scheme shows performance close to the projected gradient method with much reduced complexity.

KW - Cognitive relay

KW - Interference channels with a cognitive relay

KW - MIMO systems

UR - http://www.scopus.com/inward/record.url?scp=84959422540&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84959422540&partnerID=8YFLogxK

U2 - 10.1109/TWC.2015.2454496

DO - 10.1109/TWC.2015.2454496

M3 - Article

VL - 14

SP - 6448

EP - 6458

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 11

M1 - 7153577

ER -