Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks
Cognitive radio (CR) is proposed to automatically detect and exploit unused spectrum while avoiding harmful interference to the incumbent system. In this paper, we emphasize the channel capacity comparison of a CR network using two types of multicarrier communications: conventional Orthogonal Freque...
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2010/621808 |
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doaj-4c0d79ebb51946cc966912b0b6f58aee2020-11-24T20:48:13ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-01201010.1155/2010/621808Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio NetworksH. ZhangD. Le RuyetD. RovirasY. MedjahdiH. SunCognitive radio (CR) is proposed to automatically detect and exploit unused spectrum while avoiding harmful interference to the incumbent system. In this paper, we emphasize the channel capacity comparison of a CR network using two types of multicarrier communications: conventional Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) and Filter Bank based MultiCarrier (FBMC) modulations. We use a resource allocation algorithm in which subcarrier assignment and power allocation are carried out sequentially. By taking the impact of Inter-Cell Interference (ICI) resulting from timing offset into account, the maximization of total information rates is formulated under an uplink scenario with pathloss and Rayleigh fading, subject to maximum power constraint as well as mutual interference constraint between primary user (PU) and secondary user (SU). Final simulation results show that FBMC can achieve higher channel capacity than OFDM because of the low spectral leakage of its prototype filter. http://dx.doi.org/10.1155/2010/621808 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Zhang D. Le Ruyet D. Roviras Y. Medjahdi H. Sun |
spellingShingle |
H. Zhang D. Le Ruyet D. Roviras Y. Medjahdi H. Sun Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks EURASIP Journal on Advances in Signal Processing |
author_facet |
H. Zhang D. Le Ruyet D. Roviras Y. Medjahdi H. Sun |
author_sort |
H. Zhang |
title |
Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks |
title_short |
Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks |
title_full |
Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks |
title_fullStr |
Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks |
title_full_unstemmed |
Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks |
title_sort |
spectral efficiency comparison of ofdm/fbmc for uplink cognitive radio networks |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2010-01-01 |
description |
Cognitive radio (CR) is proposed to automatically detect and exploit unused spectrum while avoiding harmful interference to the incumbent system. In this paper, we emphasize the channel capacity comparison of a CR network using two types of multicarrier communications: conventional Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) and Filter Bank based MultiCarrier (FBMC) modulations. We use a resource allocation algorithm in which subcarrier assignment and power allocation are carried out sequentially. By taking the impact of Inter-Cell Interference (ICI) resulting from timing offset into account, the maximization of total information rates is formulated under an uplink scenario with pathloss and Rayleigh fading, subject to maximum power constraint as well as mutual interference constraint between primary user (PU) and secondary user (SU). Final simulation results show that FBMC can achieve higher channel capacity than OFDM because of the low spectral leakage of its prototype filter. |
url |
http://dx.doi.org/10.1155/2010/621808 |
work_keys_str_mv |
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1716808632195088384 |