Linear Precoder Design for MIMO Interference Channels with Finite-Alphabet Signaling

This paper investigates the linear precoder design for K-user interference channels of multiple-input multiple-output (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate for users in the MIMO interference channel systems. We study opt...

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Veröffentlicht in:IEEE transactions on communications Jg. 61; H. 9; S. 3766 - 3780
Hauptverfasser: Yongpeng Wu, Chengshan Xiao, Xiqi Gao, Matyjas, John D., Zhi Ding
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.09.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0090-6778, 1558-0857
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Abstract This paper investigates the linear precoder design for K-user interference channels of multiple-input multiple-output (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate for users in the MIMO interference channel systems. We study optimal transmission strategies in both low and high signal-to-noise ratio (SNR) regions. Given finite alphabet inputs, we show that a simple power allocation design achieves optimal performance at high SNR whereas the well-known interference alignment technique for Gaussian inputs only utilizes a partial interference-free signal space for transmission and leads to a constant rate loss when applied naively to finite-alphabet inputs. Moreover, we establish necessary conditions for the linear precoder design to achieve weighted sum-rate maximization. We also present an efficient iterative algorithm for determining precoding matrices of all the users. Our numerical results demonstrate that the proposed iterative algorithm achieves considerably higher sum-rate under practical QAM inputs than other known methods.
AbstractList This paper investigates the linear precoder design for K-user interference channels of multiple-input multiple-output (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate for users in the MIMO interference channel systems. We study optimal transmission strategies in both low and high signal-to-noise ratio (SNR) regions. Given finite alphabet inputs, we show that a simple power allocation design achieves optimal performance at high SNR whereas the well-known interference alignment technique for Gaussian inputs only utilizes a partial interference-free signal space for transmission and leads to a constant rate loss when applied naively to finite-alphabet inputs. Moreover, we establish necessary conditions for the linear precoder design to achieve weighted sum-rate maximization. We also present an efficient iterative algorithm for determining precoding matrices of all the users. Our numerical results demonstrate that the proposed iterative algorithm achieves considerably higher sum-rate under practical QAM inputs than other known methods.
Author Chengshan Xiao
Matyjas, John D.
Zhi Ding
Yongpeng Wu
Xiqi Gao
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  surname: Yongpeng Wu
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  surname: Chengshan Xiao
  fullname: Chengshan Xiao
  email: xiaoc@mst.edu
  organization: Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
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  surname: Xiqi Gao
  fullname: Xiqi Gao
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  givenname: John D.
  surname: Matyjas
  fullname: Matyjas, John D.
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  surname: Zhi Ding
  fullname: Zhi Ding
  email: zding@ucdavis.ca
  organization: Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
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Issue 9
Keywords Alphabet
Performance evaluation
Quadrature amplitude modulation
Wireless telecommunication
interference channel
Iterative method
Power allocation
Transceiver
Optimal strategy
Coding
Signal transmission
MIMO
Pretreatment
MIMO system
Finite alphabet
Coding circuit
Signalling
Algorithm
Interference suppression
linear precoding
Necessary condition
Signal interference
Algorithm performance
Free space propagation
Signal processing
Numerical simulation
Signal to noise ratio
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SubjectTerms Alphabets
Applied sciences
Channels
Design engineering
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Finite alphabet
Information, signal and communications theory
Interference
interference channel
Interference channels
Iterative algorithms
linear precoding
Mathematical analysis
Maximization
MIMO
Optimization
Probability
Radiocommunications
Receivers
Signal and communications theory
Signal to noise ratio
Signal, noise
Studies
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Transmitters
Transmitters. Receivers
Vectors
Title Linear Precoder Design for MIMO Interference Channels with Finite-Alphabet Signaling
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