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Erschienen in:
Multiple Antenna Spectrum Sensing in Colored Noise Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

3. Waveform Designs for Cognitive Radio and Dynamic Spectrum Access Applications

verfasst von : Ahmet Yazar, Mohamed Elkourdi, Huseyin Arslan

Erschienen in: Handbook of Cognitive Radio

Verlag: Springer Singapore

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Abstract

Cognitive radio and dynamic spectrum access systems are effective ways of using radio spectrum which is a scarce source. Cognitive radio applications changed the paradigm for the wireless communications systems in the past decades. Besides that, different communications systems and wireless communications channels require different waveform designs and radio access technologies. In this study, a general design and evaluation procedure for the new waveform techniques are presented based on cognitive radio and dynamic spectrum access requirements. Radio access technology researches for the future-generation cellular systems and cognitive radio systems intersect to each other. Therefore, some of the future waveform designs and related modifications are analyzed under the cognitive radio perspective. Several waveforms which have various trade-off situations are discussed from a general perspective and an adaptivity/flexibility perspective.

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Vorheriges Kapitel Spectrum Sensing Using Markovian Models
Nächstes Kapitel Modeling and Performance Analysis of Cognitive Radio Systems from a Deployment Perspective
Literatur
1.
Mahmoud HA, Yucek T, Arslan H (2009) OFDM for cognitive radio: merits and challenges. IEEE Wirel Commun 16(2):6–15CrossRef
2.
Yazar A, Onat FA, Arslan H (2016) New generation waveform approaches for 5G and beyond. In: IEEE Signal Processing and Communications Applications Conference (SIU), pp 961–964
3.
I C-L, Han S, Xu Z, Wang S, Sun Q, Chen Y (2016) New paradigm of 5G wireless internet. IEEE J Sel Areas Commun 34(3):474–482CrossRef
4.
Elkourdi M, Pekoz B, Guvenkaya E, Arslan H (2016) Waveform design principles for 5G and beyond. In: IEEE Wireless and Microwave Technology Conference (WAMICON), pp 1–6
5.
Arslan H, Yucek T (2006) Adaptation of wireless mobile multi-carrier systems. In: Li W, Xiao Y (eds) Adaptation techniques in wireless multimedia networks, 1st edn. Nova Science Publishers, New York, pp 215–240
6.
Keller T, Hanzo L (2000) Adaptive modulation techniques for duplex OFDM transmission. IEEE Trans Veh Technol 49(5):1893–1906CrossRef
7.
Harvatin DT, Ziemer RE (1997) Orthogonal frequency division multiplexing performance in delay and doppler spread channels. In: IEEE Vehicular Technology Conference (VTC), vol 3, pp 1644–1647
8.
Weiss T, Krohn A, Capar F, Martoyo I, Jondral FK (2003) Synchronization algorithms and preamble concepts for spectrum pooling systems. In: IST Mobile & Wireless Telecommunications Summit, pp 788–792
9.
Sahin A, Arslan H (2011) Edge windowing for OFDM based systems. IEEE Commun Lett 15(11):1208–1211CrossRef
10.
Bala E, Li J, Yang R (2013) Shaping specktral leakage: a novel low-complexity transceiver architecture for cognitive radio. IEEE Veh Technol Mag 8(3):38–46CrossRef
11.
Guvenkaya E, Sahin A, Bala E, Yang R, Arslan H (2015) A windowing technique for optimal time-frequency concentration and ACI rejection in OFDM-based systems. IEEE Trans Commun 63(12):4977–4989CrossRef
12.
Mahmoud HA, Arslan H (2008) Sidelobe Suppression in OFDM-based spectrum sharing systems using adaptive symbol transition. IEEE Commun Lett 12(2):133–135CrossRef
13.
Yamaguchi H (2004) Active interference cancellation technique for MB-OFDM cognitive radio. In: IEEE European Microwave Conference, pp 1105–1108
14.
Brandes S, Cosovic I, Schnell M (2006) Reduction of out-of-band radiation in OFDM systems by insertion of cancellation carriers. IEEE Commun Lett 10(6):420–422CrossRef
15.
Cosovic I, Brandes S, Schnell M (2006) Subcarrier weighting: a method for sidelobe suppression in OFDM systems. IEEE Commun Lett 10(6):444–446CrossRef
16.
Li D, Dai X, Zhang H (2009) Sidelobe suppression in NC-OFDM systems using constellation adjustment. IEEE Commun Lett 13(5):327–329CrossRef
17.
Joshi DR, Popescu DC, Dobre OA, Baddour KE (2011) Spectral shaping for adjacent band interference suppression in cognitive radio systems. In: IEEE Global Telecommunications Conference (GLOBECOM), pp 1–5
18.
Tom A, Sahin A, Arslan H (2013) Mask compliant precoder for OFDM spectrum shaping. IEEE Commun Lett 17(3):447–450CrossRef
19.
Beek J, Berggren F (2009) N-continuous OFDM. IEEE Commun Lett 13(1):1–3CrossRef
20.
Beek J (2009) Sculpting the multicarrier spectrum: a novel projection precoder. IEEE Commun Lett 13(12):881–883CrossRef
21.
Beek J (2010) Orthogonal multiplexing in a subspace of frequency well-localized signals. IEEE Commun Lett 14(10):882–884CrossRef
22.
Guvenkaya E, Sahin E, Arslan H (2015) N-coninuous OFDM with CP alignment. In: IEEE Military Communications Conference (MILCOM), pp 587–592
23.
Zhang JA, Huang X, Cantoni A, Guo YJ (2012) Sidelobe suppression with orthogonal projection for multicarrier systems. IEEE Trans Commun 60(2):589–599CrossRef
24.
Cosovic I, Mazzon T (2006) Suppression of sidelobes in OFDM systems by multiple-choice sequence. Eur Trans Telecommun 17:623–630CrossRef
25.
Tom A, Sahin A, Arslan H (2016) Suppressing alignment: joint PAPR and out-of-band power leakage reduction for OFDM-based systems. IEEE Trans Commun 64(3):1100–1109CrossRef
26.
Ni C, Jiang T, Peng W (2015) Joint PAPR reduction and sidelobe suppression using signal cancellation in NC-OFDM-based cognitive radio systems. IEEE Trans Veh Technol 64(3):964–972CrossRef
27.
Sahin A, Guvenc I, Arslan H (2014) A survey on multicarrier communications: prototype filters, lattice structures, and implementation aspects. IEEE Commun Surv Tutorials 16(3):1312–1338CrossRef
28.
Zhang X, Jia M, Chen L, Ma J, Qiu J (2015) Filtered-OFDM – enabler for flexible waveform in the 5th generation cellular networks. In: IEEE Global Telecommunications Conference (GLOBECOM), pp 1–6
29.
Vakilian V, Wild T, Schaich F, Brink ST, Frigon JF (2013) Universal-filtered multi-carrier technique for wireless systems beyond LTE. In: IEEE Global Telecommunications Conference (GLOBECOM), pp 223–228
30.
Huemer M, Hofbauer C, Huber JB (2012) Non-systematic complex number RS coded OFDM by unique word prefix. IEEE Trans Signal Process 60(1):285–299MathSciNetCrossRef
31.
Bellanger M (2010) FBMC physical layer: a primer. In: Physical Layer for Dynamic Spectrum Access and Cognitive Radio (PHYDYAS)
32.
Farhang-Boroujeny B (2011) OFDM versus filter bank multicarrier. IEEE Signal Process Mag 28(3):92–112CrossRef
33.
Fettweis G, Krondorf M, Bittner S (2009) GFDM – generalized frequency division multiplexing. In: IEEE VTC-Spring, pp 1–4
34.
Berardinelli G, Tavares FML, Sorensen TB, Mogensen P, Pajukoski K (2013) Zero-tail DFT-spread-OFDM signals. In: IEEE Global Telecommunications Conference (GLOBECOM), pp 229–234
35.
Benvenuto N, Tomasin S, Tomba L (2002) Equalization methods in OFDM and FMT systems for broadband wireless communications. IEEE Trans Commun 50(9):1413–1418CrossRef
36.
Berardinelli G, Temino LR, Frattasi S, Rahman M, Mogensen P (2008) OFDMA vs. SC-FDMA: performance comparison in local area IMT-A scenarios. IEEE Wirel Commun 15(5):64–72CrossRef
37.
Ankarali Z, Karabacak M, Arslan H (2014) Cyclic feature concealing CP selection for physical layer security. In: IEEE Military Communications Conference (MILCOM), pp 485–489
38.
Guvenkaya E, Tom A, Arslan H (2013) Joint sidelobe suppression and PAPR reduction in OFDM using partial transmit sequences. In: IEEE Military Communications Conference (MILCOM), pp 95–100
39.
Sahin A, Yang R, Ghosh M, Olesen RL (2015) An improved unique word DFT-spread OFDM scheme for 5G systems. In: IEEE Global Telecommunications Conference (GLOBECOM), pp 1–6
40.
Sahin A, Yang R, Bala E, Beluri CM, Olesen RL (2016) Flexible DFT-S-OFDM: solutions and challenges. IEEE Commun Mag 54(11):106–112CrossRef
41.
Kumar U, Ibars C, Bhorkar A, Jung H (2015) A waveform for 5G: guard interval DFT-s OFDM. In: IEEE Global Telecommunications Conference (GLOBECOM), pp 1–6
42.
Berardinelli G, Pederson KI, Sorensen TB, Mogensen P (2016) Generalized DFT-spread-OFDM as 5G waveform. IEEE Commun Mag 54(11):99–105CrossRef
43.
Devi B, Lalleima N, Singh S (2014) Comparative analysis of FBMC and OFDM multicarrier techniques for wireless communication networks. Int J Comput Appl 100(19):27–31
44.
Farhang A, Marchetti N, Figueiredo F, Miranda J (2014) Massive MIMO and waveform design for 5th generation wireless communication systems. In: International Conference on 5G for Ubiquitous Connectivity (5GU), pp 70–75
45.
Wong CY, Cheng RS, Lataief KB, Murch RD (1999) Multiuser OFDM with adaptive subcarrier, bit, and power allocation. IEEE J Sel Areas Commun 17(10):1747–1758CrossRef
46.
Sahin A, Arslan H (2012) Multi-user aware frame structure for OFDMA based system. In: IEEE Vehicular Technology Conference (VTC Fall), pp 1–5
47.
Falconer D, Ariyavisitakul SL, Benyamin-Seeyar A, Eidson B (2002) Frequency domain equalization for single-carrier broadband wireless systems. IEEE Commun Mag 40(4):58–66CrossRef
48.
Coon J, Sandell M, Beach M, McGeehan J (2006) Channel and noise variance estimation and tracking algorithms for unique-word based single-carrier systems. IEEE Trans Wirel Commun 5(6):1488–1496CrossRef
49.
Huemer M, Witschnig H, Hausner J (2003) Unique word based phase tracking algorithms for SC/FDE-systems. In: IEEE Global Telecommunications Conference (GLOBECOM), pp 70–74
50.
Daher A, Baghious EH, Burel G, Radoi E (2010) Overlap-save and overlap-add filters: optimal design and comparison. IEEE Trans Signal Process 58(6):3066–3075MathSciNetCrossRef
Metadaten
Titel
Waveform Designs for Cognitive Radio and Dynamic Spectrum Access Applications
verfasst von
Ahmet Yazar
Mohamed Elkourdi
Huseyin Arslan
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Handbook of Cognitive Radio

Print ISBN: 978-981-10-1393-5

Electronic ISBN: 978-981-10-1394-2

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-10-1394-2_3

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