On the discrete superposition model of partially cognitive interference channels

We find an achievable rate region for the partially cognitive interference channel in the weak interference regime, where the cognitive transmitter learns the primary message over a noiseless link with finite capacity. The rate region is established in the discrete superposition model, which has the...

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Published in:2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR) pp. 1813 - 1817
Main Authors: Schrammar, Nicolas, Wang, Chao, Rasmussen, Lars. K., Skoglund, Mikael
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2012
Subjects:
Cognitive radio
Cognitive systems
Gain
Interference channels
Quantization (signal)
Radio frequency
Radio transmitters
Receivers
Signal to noise ratio
Symbols
ISBN:9781467350501, 1467350508
ISSN:1058-6393
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Abstract We find an achievable rate region for the partially cognitive interference channel in the weak interference regime, where the cognitive transmitter learns the primary message over a noiseless link with finite capacity. The rate region is established in the discrete superposition model, which has the property of approximating the AWGN model within a constant gap. In the high SNR regime our region is close to known outer bounds on the AWGN capacity region, yet its formulation is sufficiently simple to give valuable insights. Interestingly, the cognitive transmitter does not need to learn the complete primary message in order to achieve the rate region of the fully cognitive interference channel. The capacity of the noiseless link between the two transmitters is sufficiently large if it equals the single-user capacity of the cross-link from primary transmitter to secondary receiver.
AbstractList We find an achievable rate region for the partially cognitive interference channel in the weak interference regime, where the cognitive transmitter learns the primary message over a noiseless link with finite capacity. The rate region is established in the discrete superposition model, which has the property of approximating the AWGN model within a constant gap. In the high SNR regime our region is close to known outer bounds on the AWGN capacity region, yet its formulation is sufficiently simple to give valuable insights. Interestingly, the cognitive transmitter does not need to learn the complete primary message in order to achieve the rate region of the fully cognitive interference channel. The capacity of the noiseless link between the two transmitters is sufficiently large if it equals the single-user capacity of the cross-link from primary transmitter to secondary receiver.
Author Schrammar, Nicolas
Skoglund, Mikael
Wang, Chao
Rasmussen, Lars. K.
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  givenname: Chao
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  givenname: Lars. K.
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  givenname: Mikael
  surname: Skoglund
  fullname: Skoglund, Mikael
  email: skoglund@kth.se
  organization: School of Electrical Engineering and ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden
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Snippet We find an achievable rate region for the partially cognitive interference channel in the weak interference regime, where the cognitive transmitter learns the...
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StartPage 1813
SubjectTerms Cognitive radio
Cognitive systems
Gain
Interference channels
Quantization (signal)
Radio frequency
Radio transmitters
Receivers
Signal to noise ratio
Symbols
Title On the discrete superposition model of partially cognitive interference channels
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