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Spectrally efficient emission mask shaping for OFDM cognitive radios
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Pham, Thinh H., Fahmy, Suhaib A. and McLoughlin, Ian V. (2016) Spectrally efficient emission mask shaping for OFDM cognitive radios. Digital Signal Processing, 50 . pp. 150-161. doi:10.1016/j.dsp.2015.12.008 ISSN 1051-2004.
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Official URL: http://dx.doi.org/10.1016/j.dsp.2015.12.008
Abstract
Orthogonal Frequency Division Multiplexing has been widely adopted in recent years due to its inherent spectral efficiency and robustness to impulsive noise and fading. For cognitive ra- dio applications in particular, it can enable flexible and agile spectrum allocation, yet suffers from spectral leakage in the form of large side lobes, leading to inter-channel interference unless mitigated carefully. Hence, recent OFDM-based standards such as IEEE 802.11p for vehicular communication and IEEE 802.11af for TV whitespace reuse impose strict spectrum emission mask limits to combat adjacent channel interference. Stricter masks allow channels to operate closer together, improving spectral efficiency at the cost of implementation difficulty. Meeting these strict limits is a significant challenge for implementing both 802.11p and 802.11af, yet remains an important requirement for enabling cost-effective systems. This paper proposes a novel method that embeds baseband filtering within a cognitive radio architecture to meet the specification for the most stringent 802.11p and 802.11af masks, while allowing up to ten ad- ditional active 802.11af sub-carriers to occupy a single basic channel without violating SEM specifications. The proposed method, performed at baseband, relaxes otherwise strict RF filter requirements, allowing the RF subsystem to be implemented using much less stringent 802.11a designs, resulting in cost reductions.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Orthogonal frequency division multiplexing, Cognitive radio networks, Software radio , Radio -- Interference | ||||||||
Journal or Publication Title: | Digital Signal Processing | ||||||||
Publisher: | Elsevier | ||||||||
ISSN: | 1051-2004 | ||||||||
Official Date: | March 2016 | ||||||||
Dates: |
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Volume: | 50 | ||||||||
Page Range: | pp. 150-161 | ||||||||
DOI: | 10.1016/j.dsp.2015.12.008 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 11 January 2016 | ||||||||
Date of first compliant Open Access: | 29 December 2016 |
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