An efficient spectrum sensing scheme for cognitive radio

S. Cheng; V. Stankovic; L. Stankovic

doi:10.1109/LSP.2009.2017569

An efficient spectrum sensing scheme for cognitive radio

S. Cheng, V. Stankovic, L. Stankovic

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

The paper combines distributed source coding and compressive sampling for efficient spectrum estimation. Two or more cognitive radios sample the spectrum compressively and independently compress their observations using multiterminal source coding. A central hub collects compressed streams from these radios before performing joint multiterminal source decoding followed by iterative signal reconstruction. Simulation results are provided for two radios performing practical multiterminal source coding with uniform scalar quantization and systematic turbo codes for Slepian-Wolf coding and error protection.

Original language	English
Pages (from-to)	501-504
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	6
DOIs	https://doi.org/10.1109/LSP.2009.2017569
Publication status	Published - 2009

Keywords

cognitive radio
iterative methods
signal reconstruction
source coding
turbo codes

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10.1109/LSP.2009.2017569

Cite this

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title = "An efficient spectrum sensing scheme for cognitive radio",

abstract = "The paper combines distributed source coding and compressive sampling for efficient spectrum estimation. Two or more cognitive radios sample the spectrum compressively and independently compress their observations using multiterminal source coding. A central hub collects compressed streams from these radios before performing joint multiterminal source decoding followed by iterative signal reconstruction. Simulation results are provided for two radios performing practical multiterminal source coding with uniform scalar quantization and systematic turbo codes for Slepian-Wolf coding and error protection.",

keywords = "cognitive radio, iterative methods, signal reconstruction, source coding, turbo codes",

author = "S. Cheng and V. Stankovic and L. Stankovic",

year = "2009",

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AB - The paper combines distributed source coding and compressive sampling for efficient spectrum estimation. Two or more cognitive radios sample the spectrum compressively and independently compress their observations using multiterminal source coding. A central hub collects compressed streams from these radios before performing joint multiterminal source decoding followed by iterative signal reconstruction. Simulation results are provided for two radios performing practical multiterminal source coding with uniform scalar quantization and systematic turbo codes for Slepian-Wolf coding and error protection.

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KW - iterative methods

KW - signal reconstruction

KW - source coding

KW - turbo codes

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JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

IS - 6

ER -

An efficient spectrum sensing scheme for cognitive radio

Abstract

Keywords

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External Examiner at The Computer Laboratory, Cambridge

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An efficient spectrum sensing scheme for cognitive radio

Abstract

Keywords

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External Examiner at The Computer Laboratory, Cambridge

Cite this