Multicarrier Modulated Signal for Cognitive Radio with Low Peak-to-Average Power Ratio

Multi-carrier communication is considered as thepotential candidate for 4G-LTE networks. The major drawbackconcerned with multi-carrier communication is high PAPR,asvarious carriers are added via IFFT operation.High PAPR stillrequires a lot of attention due to non-linearity in poweramplifiers.In this paper we have generated a multi-carrier signalusing DVB-T2 parameters and calculated it PAPR using CCDF.A novel hybrid technique is proposed in which we have combinedthe filtering and companding techniques with SLM to obtain asignificant reduction in PAPR. The CCDF plots depict theperformance of proposed technique is better than existing art oftechniques.

Multicarrier Modulated Signal for Cognitive Radio with Low Peak-to-Average Power Ratio

Multi-carrier communication is considered as thepotential candidate for 4G-LTE networks. The major drawbackconcerned with multi-carrier communication is high PAPR,asvarious carriers are added via IFFT operation.High PAPR stillrequires a lot of attention due to non-linearity in poweramplifiers.In this paper we have generated a multi-carrier signalusing DVB-T2 parameters and calculated it PAPR using CCDF.A novel hybrid technique is proposed in which we have combinedthe filtering and companding techniques with SLM to obtain asignificant reduction in PAPR. The CCDF plots depict theperformance of proposed technique is better than existing art oftechniques.

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  • Spectrum Systems”, Wiley Publications, 2003
  • Tao Luo et al., Multicarrier Modulation and
  • Cooperative Communication in Multihop Cognitive
  • Radio Networks” , IEEE Wireless Communications
  • February, 2011
  • FCC, “Spectrum Policy Task Force”, ET Docket 02-
  • Nov. 2002.
  • S.Kumar et al., “Cognitive Radio Concept and
  • Challenges in Dynamic Spectrum Access for Future
  • Generation Wireless Communication Systems”
  • Springer , Wireless Personal Communication
  • 2011(59):525-535
  • E. Hossain et al. , “Evolution and Future Trends of
  • Research in Cognitive Radio: A Contemporary
  • Survey” ,Wiley Online Library, Journal on Wireless
  • Communications and Mobile Computing, Vol.15
  • Issue 11, pp.1530-1564, 2013
  • Yong Soo Cho et al.,“MIMO-OFDM Wireless
  • Communications with MATLAB”, Wiley
  • Publications
  • Hermann Rohling “OFDM: Concepts For Future
  • Communication Systems”, Springer, 2011
  • Hao Lin and Pierre Siohan, “An Advanced Multicarrier
  • Modulation for Future radio Systems”, IEEE
  • International Conference on Acoustic, Speech and
  • Signal Processing (ICASSP), 2014
  • Alphan S ¸ahin, ˙ Ismail G¨ uvenc ¸, and H¨ useyin
  • Arslan, “A Survey on Multicarrier Communications
  • Prototype Filters, Lattice Structures, and
  • Implementation Aspects”, IEEE Communications
  • Surveys & Tutorials, Vol. 16, No. 3, Third quarter
  • Hisham A. Mahmoud, Tevfik Yucek, and Huseyin
  • Arslan “OFDM for Cognitive Radio: Merits and
  • Challenges”, Wireless Communications, Vol.16
  • Issue. 2, pp.6-15
  • Zsolt Kollar and Peter Horvath, “Physical Layer
  • Considerations for Cognitive Radio
  • Synchronization Point of View”, IEEE 73rd Vehicular
  • Technology Conference (VTC Spring), 2011
  • Shree Krishna Sharma, Tadilo Endeshaw Bogale, et
  • al, “ Cognitive Radio Techniques under Practical
  • Imperfections: A Survey” , IEEE Communication
  • Surveys & Tutorials, Vol. 17, Issue 4, 2015
  • Jianfeng Wang, Monisha Ghosh, Kiran Challapali
  • Emerging Cognitive Radio Applications: A Survey
  • IEEE Communications Magazine, Vol. 49, Issue 3
  • Talha Zahir, Kamran Arshad, Atsushi Nakata, and
  • Klaus Moessner, “Interference Management in
  • Femtocells”, IEEE Communication Surveys &
  • Tutoriald, Vol. 15, Issue. 1, 2011
  • Tao Jiang, Chunxing Ni, “Energy-Efficient NCOFDM/
  • OQAM-Based Cognitive Radio Networks”
  • IEEE Communications Magazine , July 2014
  • Seung Hee Han et al., “An Overview of Peak-to-
  • Average Power Ratio Reduction Techniques for
  • Multicarrier Transmission”, IEEE Wireless
  • Communications , April 2005
  • https://www.dvb.org/
  • en.wikipedia.org/wiki/DVB-T
  • Walter Fischer, “Digital Video and Audio
  • Broadcasting Technology : A Practical Engineering
  • Guide”, Springer, 2010.
  • Moo B.L. , Kim Y. , Figueiredoet R. J. P.
  • “Performance Analysis of the Clipping Scheme with
  • SLM Technique for PAPR Reduction of OFDM
  • Signals in Fading Channels”, Springer Journal on
  • Wireless Personal Communications, Vol.63, Issue 2
  • pp.331-334, 2012
  • Cuteanu V. , IsarA. , “PAPR Reduction of OFDM
  • Signals using Selective Mapping and Clipping
  • Hybrid Scheme”, Proceedings of the 20th European
  • Signal Processing Conference (EUSIPCO), IEEE
  • Publications, pp. 2551-2555, 2012
  • K. Fazel , S. Kaiser , “Multi-Carrier and Spread
  • Spectrum Systems”, Wiley Publications, 2003
  • Tao Luo et al., Multicarrier Modulation and
  • Cooperative Communication in Multihop Cognitive
  • Radio Networks” , IEEE Wireless Communications
  • February, 2011
  • FCC, “Spectrum Policy Task Force”, ET Docket 02-
  • Nov. 2002.
  • S.Kumar et al., “Cognitive Radio Concept and
  • Challenges in Dynamic Spectrum Access for Future
  • Generation Wireless Communication Systems”
  • Springer , Wireless Personal Communication
  • 2011(59):525-535
  • E. Hossain et al. , “Evolution and Future Trends of
  • Research in Cognitive Radio: A Contemporary
  • Survey” ,Wiley Online Library, Journal on Wireless
  • Communications and Mobile Computing, Vol.15
  • Issue 11, pp.1530-1564, 2013
  • Yong Soo Cho et al.,“MIMO-OFDM Wireless
  • Communications with MATLAB”, Wiley
  • Publications
  • Hermann Rohling “OFDM: Concepts For Future
  • Communication Systems”, Springer, 2011
  • Hao Lin and Pierre Siohan, “An Advanced Multicarrier
  • Modulation for Future radio Systems”, IEEE
  • International Conference on Acoustic, Speech and
  • Signal Processing (ICASSP), 2014
  • Alphan S ¸ahin, ˙ Ismail G¨ uvenc ¸, and H¨ useyin
  • Arslan, “A Survey on Multicarrier Communications
  • Prototype Filters, Lattice Structures, and
  • Implementation Aspects”, IEEE Communications
  • Surveys & Tutorials, Vol. 16, No. 3, Third quarter
  • Hisham A. Mahmoud, Tevfik Yucek, and Huseyin
  • Arslan “OFDM for Cognitive Radio: Merits and
  • Challenges”, Wireless Communications, Vol.16
  • Issue. 2, pp.6-15
  • Zsolt Kollar and Peter Horvath, “Physical Layer
  • Considerations for Cognitive Radio
  • Synchronization Point of View”, IEEE 73rd Vehicular
  • Technology Conference (VTC Spring), 2011
  • Shree Krishna Sharma, Tadilo Endeshaw Bogale, et
  • al, “ Cognitive Radio Techniques under Practical
  • Imperfections: A Survey” , IEEE Communication
  • Surveys & Tutorials, Vol. 17, Issue 4, 2015
  • Jianfeng Wang, Monisha Ghosh, Kiran Challapali
  • Emerging Cognitive Radio Applications: A Survey
  • IEEE Communications Magazine, Vol. 49, Issue 3
  • Talha Zahir, Kamran Arshad, Atsushi Nakata, and
  • Klaus Moessner, “Interference Management in
  • Femtocells”, IEEE Communication Surveys &
  • Tutoriald, Vol. 15, Issue. 1, 2011
  • Tao Jiang, Chunxing Ni, “Energy-Efficient NCOFDM/
  • OQAM-Based Cognitive Radio Networks”
  • IEEE Communications Magazine , July 2014
  • Seung Hee Han et al., “An Overview of Peak-to-
  • Average Power Ratio Reduction Techniques for
  • Multicarrier Transmission”, IEEE Wireless
  • Communications , April 2005
  • https://www.dvb.org/
  • en.wikipedia.org/wiki/DVB-T
  • Walter Fischer, “Digital Video and Audio
  • Broadcasting Technology : A Practical Engineering
  • Guide”, Springer, 2010.
  • Moo B.L. , Kim Y. , Figueiredoet R. J. P.
  • “Performance Analysis of the Clipping Scheme with
  • SLM Technique for PAPR Reduction of OFDM
  • Signals in Fading Channels”, Springer Journal on
  • Wireless Personal Communications, Vol.63, Issue 2
  • pp.331-334, 2012
  • Cuteanu V. , IsarA. , “PAPR Reduction of OFDM
  • Signals using Selective Mapping and Clipping
  • Hybrid Scheme”, Proceedings of the 20th European
  • Signal Processing Conference (EUSIPCO), IEEE
  • Publications, pp. 2551-2555, 2012