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Cognitive Radio-Based Non-orthogonal Multiple Access

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Encyclopedia of Wireless Networks

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Synonyms

Cognitive radio; Non-orthogonal multiple access

Definition

Cognitive Radio-based Non-orthogonal Multiple Access (CR-NOMA) is a derivation of NOMA. In CR-NOMA, a user with bad channel condition is viewed as the primary user (PU), while a user with good channel condition is regarded as the secondary user (SU), which is squeezed into the spectrum occupied by PU (Ding et al. 2016). CR-NOMA opportunistically serves one user on the condition that other users’ Quality of Service (QoS) is guaranteed.

Historical Background

The advent of CR-NOMA is driven by the advantages of NOMA and CR. Recently, NOMA has attracted increasing attention because of its high spectral utilization. At the transmitter side, multiple users’ signals can be transmitted simultaneously in time domain, frequency domain, or code domain by utilizing power domain multiplexing. At the receiver side, the multiplexed signals can be separated by using Successive Interference Cancellation (SIC). Thus, the resource block...

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References

  • Agiwal M, Roy A, Saxena N (2016) Next generation 5G wireless networks: a comprehensive survey. IEEE Commun Surv Tutorials 18(3):1617–1655

    Article  Google Scholar 

  • Boccardi F, Heath RW, Lozano A et al (2014) Five disruptive technology directions for 5G. IEEE Commun Mag 52(2):74–80

    Article  Google Scholar 

  • Ding Z, Fan P, Poor HV (2016) Impact of user pairing on 5G nonorthogonal multiple-access downlink transmissions. IEEE Trans Veh Technol 65(8):6010–6023

    Article  Google Scholar 

  • Ding Z, Lei X, Karagiannidis GK, Schober R, Yuan J and Bhargava VK (2017) A survey on non-orthogonal multiple access for 5G networks: research challenges and future trends. IEEE J Sel Areas Commun 35(10):2181–2195

    Article  Google Scholar 

  • Han S, Chih-Lin I, Xu Z et al. (2014) Energy efficiency and spectrum efficiency co-design: from NOMA to network NOMA. IEEE COMSOC MMTC E-Letter 9(5):21–24

    Google Scholar 

  • Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 23(2):201–220

    Article  Google Scholar 

  • Higuchi K, Kishiyama Y (2013) Non-orthogonal access with random beamforming and intra-beam SIC for cellular MIMO downlink. In: Vehicular technology conference (VTC Fall), 2013 IEEE 78th. IEEE, pp 1–5

    Google Scholar 

  • Hu F, Chen B, Zhu K (2018) Full spectrum sharing in cognitive radio networks toward 5G: a survey. IEEE Access 6:15754–15776

    Article  Google Scholar 

  • Islam SMR, Avazov N, Dobre OA, Kwak K et al. (2016) Power-domain non-orthogonal multiple access (NOMA) in 5G systems: potentials and challenges. IEEE Commun Surv & Tutorials 19(2):721–742

    Article  Google Scholar 

  • Kolodzy P, Avoidance I (2002) Spectrum policy task force. Federal Commun Comm, Washington, DC, Rep. ET Docket, 40(4): 147–158

    Google Scholar 

  • Lv L, Yang L, Jiang H et al. (2015) When NOMA meets multiuser cognitive radio: opportunistic cooperation and user scheduling

    Google Scholar 

  • Lv L, Yang L, Jiang H, Luan T.H, Chen J et al. (2018) When NOMA meets multiuser cognitive radio: opportunistic cooperation and user scheduling. IEEE Trans Veh Technol 67(7):6679–6684

    Article  Google Scholar 

  • Mitola J, Maguire GQ (1999) Cognitive radio: making software radios more personal. IEEE Pers Commun 6(4):13–18

    Article  Google Scholar 

  • Rawat P, Singh KD, Bonnin JM (2016) Cognitive radio for M2M and internet of things: a survey. Comput Commun 94:1–29

    Article  Google Scholar 

  • Razavi R, Dianati M, Imran MA (2017) Non-orthogonal multiple access (NOMA) for future radio access. In: 5G mobile communications. Springer, Cham, pp 135–163

    Chapter  Google Scholar 

  • Tragos EZ, Zeadally S, Fragkiadakis AG et al (2013) Spectrum assignment in cognitive radio networks: a comprehensive survey. IEEE Commun Surv Tutorials 15(3):1108–1135

    Article  Google Scholar 

  • Wang B, Liu KJR (2011) Advances in cognitive radio networks: a survey. IEEE J Sel Top Sign Proces 5(1):5–23

    Article  Google Scholar 

  • Zabetian N, Baghani M, Mohammadi A (2017) Rate optimization in NOMA cognitive radio networks. In: International symposium on telecommunications. IEEE, pp 62–65

    Google Scholar 

  • Zheng G, Ma S, Wong KK et al (2010) Robust beamforming in cognitive radio. IEEE Trans Wirel Commun 9(2):570–576

    Article  Google Scholar 

  • Zhou Z, Guo D, Honig ML (2017) Licensed and unlicensed spectrum allocation in heterogeneous networks. IEEE Trans Commun 65(4):1815–1827

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na, Mengshu Zhang & Yuyao Wang

Authors
  1. Zhenyu Na
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  2. Mengshu Zhang
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  3. Yuyao Wang
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Corresponding author

Correspondence to Zhenyu Na .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo , Waterloo, ON, Canada

    Xuemin (Sherman) Shen

  2. Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON, Canada

    Xiaodong Lin

  3. Dpt.of Electrical & Computer Engineering, University of Nebraska–Lincoln, Omaha, NE, USA

    Kuan Zhang

Section Editor information

  1. Texas A&M University at Corpus Christi, Corpus Christi, Texas, USA

    Ning Zhang

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Na, Z., Zhang, M., Wang, Y. (2018). Cognitive Radio-Based Non-orthogonal Multiple Access. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_207-1

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  • DOI: https://doi.org/10.1007/978-3-319-32903-1_207-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32903-1

  • Online ISBN: 978-3-319-32903-1

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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