Novel Precoded OFDM for Cognitive Radio in Noisy and Multipath Channels

2014 ◽  
pp. 261-271
Author(s):  
Sundaram K. Padmanabhan ◽  
T. Jayachandra Prasad
Keyword(s):  
Cognitive Radio ◽  
Multipath Channels

scholarly journals Evaluation of 5G Modulation Candidates WCP-COQAM, GFDM-OQAM, and FBMC-OQAM in Low-Band Highly Dispersive Wireless Channels

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Aitor Lizeaga ◽  
Pedro M. Rodríguez ◽  
Iñaki Val ◽  
Mikel Mendicute
Keyword(s):  
Cognitive Radio ◽  
Wireless Communications ◽  
Mobile Communications ◽  
Spectral Efficiency ◽  
Wireless Channels ◽  
Multipath Channels ◽  
Low Latency ◽  
Power Spectral ◽  
Industrial Communications ◽  
Indoor Spaces

We analyse some of the candidates for modulations for 5G: FBMC-OQAM, GFDM-OQAM, and WCP-COQAM. Unlike most of the related bibliographies, which are oriented to mobile communications, our research is focused on 5G in cognitive radio based industrial wireless communications. According to the ultrareliability and low-latency requirements of industrial communications, we simulate the aforementioned modulations in low-band transmissions (carrier frequencies below 6 GHz and a bandwidth narrower than 100 MHz) through large indoor spaces and severe multipath channels that emulate industrial halls. Moreover, we give detailed information about WCP-COQAM and how the windowing affects the protection against multipath effect and reduces spectral efficiency compared to GFDM-OQAM. We also compare the aforementioned filtered multicarrier techniques and OFDM in terms of robustness against multipath channels, power spectral density, and spectral efficiency. Based on these results, we aim at providing an approximate idea about the suitability of 5G MCM candidates for industrial wireless communications based on CR.

Principles of Cognitive Radio

2009 ◽  
Author(s):  
Ezio Biglieri ◽  
Andrea J. Goldsmith ◽  
Larry J. Greenstein ◽  
Narayan Mandayam ◽  
H. Vincent Poor
Keyword(s):  
Cognitive Radio

Exact Optimum RAN Selection Algorithm for Heterogeneous-Type Cognitive Radio Networks

2014 ◽  
Vol 1 ◽  
pp. 652-655
Author(s):  
Takumi.Matsui Takumi.Matsui ◽  
Mikio.Hasegawa Mikio.Hasegawa ◽  
Hiroshi.Hirai Hiroshi.Hirai ◽  
Kiyohito.Nagano Kiyohito.Nagano ◽  
Kazuyuki.Aihara Kazuyuki.Aihara
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Selection Algorithm
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