Precoder Design for K-User Interference Channels with Finite Alphabet Signals
We consider a MIMO K-user interference channel with finite alphabet signaling, and design an optimal precoder for maximizing the sum mutual information between all transmitter-receiver pairs. Perfect channel knowledge is assumed to be available at all the transmitters, but, decoding of the interferi...
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| Published in: | IEEE communications letters Vol. 17; no. 4; pp. 681 - 684 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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New York, NY
IEEE
01.04.2013
Institute of Electrical and Electronics Engineers |
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| ISSN: | 1089-7798 |
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| Abstract | We consider a MIMO K-user interference channel with finite alphabet signaling, and design an optimal precoder for maximizing the sum mutual information between all transmitter-receiver pairs. Perfect channel knowledge is assumed to be available at all the transmitters, but, decoding of the interfering signals is not done at any receiver. A gradient descent algorithm is employed for maximizing the sum mutual information. Simulation results for the three user interference channel show that when compared to conventional schemes which maximize the signal-to-interference plus noise ratio or minimize the mean squared error, the proposed design achieves a significantly better bit error rate performance. Along with the proposed precoder, the minimum distance detector which decodes the desired signal (while treating interference as colored Gaussian noise with a known covariance) was utilized at all the receivers, in order to get this enhanced performance. |
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| AbstractList | We consider a MIMO K-user interference channel with finite alphabet signaling, and design an optimal precoder for maximizing the sum mutual information between all transmitter-receiver pairs. Perfect channel knowledge is assumed to be available at all the transmitters, but, decoding of the interfering signals is not done at any receiver. A gradient descent algorithm is employed for maximizing the sum mutual information. Simulation results for the three user interference channel show that when compared to conventional schemes which maximize the signal-to-interference plus noise ratio or minimize the mean squared error, the proposed design achieves a significantly better bit error rate performance. Along with the proposed precoder, the minimum distance detector which decodes the desired signal (while treating interference as colored Gaussian noise with a known covariance) was utilized at all the receivers, in order to get this enhanced performance. |
| Author | Ayyar, Arun Ram, B. Hari Lilleberg, Jorma Giridhar, K. Wei Li |
| Author_xml | – sequence: 1 givenname: B. Hari surname: Ram fullname: Ram, B. Hari email: hariram@tenet.res.in organization: Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India – sequence: 2 surname: Wei Li fullname: Wei Li email: wei.li@renesasmobile.com organization: Renesas Mobile, Oulu, Finland – sequence: 3 givenname: Arun surname: Ayyar fullname: Ayyar, Arun email: arun_ayyar@tenet.res.in organization: Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India – sequence: 4 givenname: Jorma surname: Lilleberg fullname: Lilleberg, Jorma email: jorma.lilleberg@renesasmobile.com organization: Renesas Mobile, Oulu, Finland – sequence: 5 givenname: K. surname: Giridhar fullname: Giridhar, K. email: giri@tenet.res.in organization: Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India |
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| Keywords | Alphabet Performance evaluation Bit error rate Transmitter precoder design Mean square error Gaussian noise Covariance interference alignment Minimal distance Gradient method MIMO system Coding circuit Measurement sensor Color noise Decoding finite alphabet signals Signalling Interference channel Signal interference Simulation Descent method Signal to interference plus noise ratio Mutual information sum mutual information |
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| References | ref13 ref12 ref11 ref10 ref2 alexandropoulos (ref15) 0 ref8 ref7 shannon (ref1) 0; 1 hari ram (ref14) 0 ref9 ref4 ref3 ref6 ref5 |
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| SubjectTerms | Applied sciences Bit error rate Coding, codes Exact sciences and technology finite alphabet signals Information, signal and communications theory interference alignment Interference channel Interference channels precoder design Radiocommunications Receivers Signal and communications theory Signal to noise ratio sum mutual information Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmitters Transmitters. Receivers Vectors |
| Title | Precoder Design for K-User Interference Channels with Finite Alphabet Signals |
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