Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks. / Liu, Y.; Ding, Z.; Elkashlan, M. et al.
In: IEEE Transactions on Vehicular Technology, Vol. 65, No. 12, 12.12.2016, p. 10152-10157.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Liu, Y, Ding, Z, Elkashlan, M & Yuan, J 2016, 'Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks', IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 10152-10157. https://doi.org/10.1109/TVT.2016.2524694

APA

Liu, Y., Ding, Z., Elkashlan, M., & Yuan, J. (2016). Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks. IEEE Transactions on Vehicular Technology, 65(12), 10152-10157. https://doi.org/10.1109/TVT.2016.2524694

Vancouver

Liu Y, Ding Z, Elkashlan M, Yuan J. Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks. IEEE Transactions on Vehicular Technology. 2016 Dec 12;65(12):10152-10157. Epub 2016 Feb 3. doi: 10.1109/TVT.2016.2524694

Author

Liu, Y. ; Ding, Z. ; Elkashlan, M. et al. / Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks. In: IEEE Transactions on Vehicular Technology. 2016 ; Vol. 65, No. 12. pp. 10152-10157.

Bibtex

@article{d07438a0146e42228b627f4dc9154c38,

title = "Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks",

abstract = "In this paper, nonorthogonal multiple access (NOMA) is applied to large-scale underlay cognitive radio (CR) networks with randomly deployed users. To characterize the performance of the considered network, new closed-form expressions of the outage probability are derived using stochastic geometry. More importantly, by carrying out the diversity analysis, new insights are obtained under the two scenarios with different power constraints: 1) fixed transmit power of the primary transmitters (PTs); and 2) transmit power of the PTs being proportional to that of the secondary base station. For the first scenario, a diversity order of m is experienced at the mth-ordered NOMA user. For the second scenario, there is an asymptotic error floor for the outage probability. Simulation results are provided to verify the accuracy of the derived results. A pivotal conclusion is reached that by carefully designing target data rates and power allocation coefficients of users, NOMA can outperform conventional orthogonal multiple access in underlay CR networks. {\textcopyright} 2016 IEEE.",

keywords = "Cognitive radio (CR), large-scale network, nonorthogonal multiple access (NOMA), stochastic geometry",

author = "Y. Liu and Z. Ding and M. Elkashlan and J. Yuan",

year = "2016",

month = dec,

day = "12",

doi = "10.1109/TVT.2016.2524694",

language = "English",

volume = "65",

pages = "10152--10157",

journal = "IEEE Transactions on Vehicular Technology",

issn = "0018-9545",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "12",

}

RIS

TY - JOUR

T1 - Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks

AU - Liu, Y.

AU - Ding, Z.

AU - Elkashlan, M.

AU - Yuan, J.

PY - 2016/12/12

Y1 - 2016/12/12

N2 - In this paper, nonorthogonal multiple access (NOMA) is applied to large-scale underlay cognitive radio (CR) networks with randomly deployed users. To characterize the performance of the considered network, new closed-form expressions of the outage probability are derived using stochastic geometry. More importantly, by carrying out the diversity analysis, new insights are obtained under the two scenarios with different power constraints: 1) fixed transmit power of the primary transmitters (PTs); and 2) transmit power of the PTs being proportional to that of the secondary base station. For the first scenario, a diversity order of m is experienced at the mth-ordered NOMA user. For the second scenario, there is an asymptotic error floor for the outage probability. Simulation results are provided to verify the accuracy of the derived results. A pivotal conclusion is reached that by carefully designing target data rates and power allocation coefficients of users, NOMA can outperform conventional orthogonal multiple access in underlay CR networks. © 2016 IEEE.

AB - In this paper, nonorthogonal multiple access (NOMA) is applied to large-scale underlay cognitive radio (CR) networks with randomly deployed users. To characterize the performance of the considered network, new closed-form expressions of the outage probability are derived using stochastic geometry. More importantly, by carrying out the diversity analysis, new insights are obtained under the two scenarios with different power constraints: 1) fixed transmit power of the primary transmitters (PTs); and 2) transmit power of the PTs being proportional to that of the secondary base station. For the first scenario, a diversity order of m is experienced at the mth-ordered NOMA user. For the second scenario, there is an asymptotic error floor for the outage probability. Simulation results are provided to verify the accuracy of the derived results. A pivotal conclusion is reached that by carefully designing target data rates and power allocation coefficients of users, NOMA can outperform conventional orthogonal multiple access in underlay CR networks. © 2016 IEEE.

KW - Cognitive radio (CR)

KW - large-scale network

KW - nonorthogonal multiple access (NOMA)

KW - stochastic geometry

U2 - 10.1109/TVT.2016.2524694

DO - 10.1109/TVT.2016.2524694

M3 - Journal article

VL - 65

SP - 10152

EP - 10157

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 12

ER -

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