NOMA‐based cooperative relaying for secondary transmission in cognitive radio networks
Abstract
In this study, the authors present and investigate a novel cooperative relaying scheme for cognitive radio networks (CRNs), which is based on non‐orthogonal multiple access (NOMA). In the proposed scheme, following the detection of an idle channel, the secondary base station transmits a power domain NOMA signal to a first nearby secondary user (SU). In addition to decoding its own signal, this user applies a decode‐and‐forward strategy to relay the signal intended to a second SU. In contrast to previous works, where the spectrum sensing and transmission phases are treated separately, the authors here consider both phases jointly in the design and analysis of the proposed scheme. To characterise performance of the latter, analytical expressions are derived for the outage probability and the ergodic rate of the two SUs by assuming a flat Rayleigh fading channel model. The performance of two traditional orthogonal multiple access schemes is also analysed for comparison. Simulation and numerical results are presented to demonstrate the effectiveness of the proposed cooperative relaying scheme for CRN, as well as the accuracy of the analytical results.
References
[1]
Ding Z., Liu Y., Choi J. et al.: ‘Application of non‐orthogonal multiple access in LTE and 5G networks’, IEEE Commun. Mag., 2017, 55, (2), pp. 185–191
[2]
Ding Z., Lei X., Karagiannidis G.K. et al.: ‘A survey on non‐orthogonal multiple access for 5G networks: research challenges and future trends’, IEEE J. Sel. Areas Commun., 2017, 35, (10), pp. 2181–2195
[3]
Shin W., Vaezi M., Lee B. et al.: ‘Non‐orthogonal multiple access in multi‐cell networks: theory, performance, and practical challenges’, IEEE Commun. Mag., 2017, 55, (10), pp. 176–183
[4]
Qian L.P., Wu Y., Zhou H. et al.: ‘Joint uplink base station association and power control for small‐cell networks with non‐orthogonal multiple access’, IEEE Trans. Wirel. Commun., 2017, 16, (9), pp. 5567–5582
[5]
Men J., Ge J., Zhang C.: ‘Performance analysis of nonorthogonal multiple access for relaying networks over Nakagami‐m fading channels’, IEEE Trans. Veh. Technol., 2017, 66, (2), pp. 1200–1208
[6]
Zhang Z., Ma Z., Xiao M. et al.: ‘Full‐duplex device‐to‐device‐aided cooperative nonorthogonal multiple access’, IEEE Trans. Veh. Technol., 2017, 66, (5), pp. 4467–4471
[7]
Zhang L., Liu J., Xiao M. et al.: ‘Performance analysis and optimization in downlink NOMA systems with cooperative full‐duplex relaying’, IEEE J. Sel. Areas Commun., 2017, 35, (10), pp. 2398–2412
[8]
Liu G., Chen X., Ding Z. et al.: ‘Hybrid half‐duplex/full‐duplex cooperative non‐orthogonal multiple access with transmit power adaptation’, IEEE Trans. Wirel. Commun., 2018, 17, (1), pp. 506–519
[9]
Zhong C., Zhang Z.: ‘Non‐orthogonal multiple access with cooperative full‐duplex relaying’, IEEE Commun. Lett., 2016, 20, (12), pp. 2478–2481
[10]
Yue X., Liu Y., Kang S. et al.: ‘Exploiting full/half‐duplex user relaying in NOMA systems’, IEEE Trans. Commun., 2018, 66, (2), pp. 560–575
[11]
Yuan W., Li P.Q., Mao H. et al.: ‘Optimal power allocation and scheduling for non‐orthogonal multiple access relay‐assisted networks’, IEEE Trans. Mob. Comput., 2018, PP, (99), pp. 1–1
[12]
Akyildiz I.F., Lee W.Y., Vuran M.C. et al.: ‘A survey on spectrum management in cognitive radio networks’, IEEE Commun. Mag., 2008, 46, (4), pp. 40–48
[13]
Ghasemi A., Sousa E.S.: ‘Spectrum sensing in cognitive radio networks: requirements, challenges and design trade‐offs’, IEEE Commun. Mag., 2008, 46, (4), pp. 32–39
[14]
Wang B., Liu K.J.R.: ‘Advances in cognitive radio networks: a survey’, IEEE J. Sel. Top. Sign. Proces., 2011, 5, (1), pp. 5–23
[15]
Ganesan G., Li Y.: ‘Cooperative spectrum sensing in cognitive radio, part I: two user networks’, IEEE Trans. Wirel. Commun., 2007, 6, (6), pp. 2204–2213
[16]
Ganesan G., Li Y.: ‘Cooperative spectrum sensing in cognitive radio, part II: multiuser networks’, IEEE Trans. Wirel. Commun., 2007, 6, (6), pp. 2214–2222
[17]
Hecke J.V., Fiorentino P.D., Lottici V. et al.: ‘Distributed dynamic resource allocation for cooperative cognitive radio networks with multi‐antenna relay selection’, IEEE Trans. Wirel. Commun., 2017, 16, (2), pp. 1236–1249
[18]
Elmahdy A.M., El‐Keyi A., ElBatt T. et al.: ‘Optimizing cooperative cognitive radio networks performance with primary QoS provisioning’, IEEE Trans. Commun., 2017, 65, (4), pp. 1451–1463
[19]
Zhang L., Xiao M., Wu G. et al.: ‘A survey of advanced techniques for spectrum sharing in 5G networks’, IEEE Wirel. Commun., 2017, 24, (5), pp. 44–51
[20]
Zhou F., Wu Y., Liang Y. et al.: ‘State of the art, taxonomy, and open issues on cognitive radio networks with NOMA’, IEEE Wirel. Commun., 2018, 25, (2), pp. 100–108
[21]
Liu Y., Ding Z., Elkashlan M. et al.: ‘Nonorthogonal multiple access in large‐scale underlay cognitive radio networks’, IEEE Trans. Veh. Technol., 2016, 65, (12), pp. 10152–10157
[22]
Lv L., Chen J., Ni Q.: ‘Cooperative non‐orthogonal multiple access in cognitive radio’, IEEE Commun. Lett., 2016, 20, (10), pp. 2059–2062
[23]
Lv L., Chen J., Ni Q. et al.: ‘Design of cooperative non‐orthogonal multicast cognitive multiple access for 5G systems: user scheduling and performance analysis’, IEEE Trans. Commun., 2017, 65, (6), pp. 2641–2656
[24]
Lv L., Ni Q., Ding Z. et al.: ‘Application of non‐orthogonal multiple access in cooperative spectrum‐sharing networks over Nakagami‐ m fading channels’, IEEE Trans. Veh. Technol., 2017, 66, (6), pp. 5506–5511
[25]
Lee S., Duong T.Q., da Costa D.B. et al.: ‘Underlay cognitive radio networks with cooperative non‐orthogonal multiple access’, IET Commun., 2018, 12, pp. 359–366(7)
[26]
Mohammadi M., Chalise B.K., Hakimi A. et al.: ‘Beamforming design and power allocation for full‐duplex non‐orthogonal multiple access cognitive relaying’, IEEE Trans. Commun., 2018, 66, pp. 1–1
[27]
Lu L., Jian C., Qiang N. et al.: ‘Cognitive non‐orthogonal multiple access with cooperative relaying: A new wireless frontier for 5G spectrum sharing’, IEEE Commun. Mag., 2018, PP, (99), pp. 1–8
[28]
Zou Y., Yao Y.D., Zheng B.: ‘Outage probability analysis of cognitive transmissions: impact of spectrum sensing overhead’, IEEE Trans. Wirel. Commun., 2010, 9, (8), pp. 2676–2688
[29]
Zhang H., Nie Y., Cheng J. et al.: ‘Sensing time optimization and power control for energy efficient cognitive small cell with imperfect hybrid spectrum sensing’, IEEE Trans. Wirel. Commun., 2017, 16, (2), pp. 730–743
[30]
Liang Y.C., Zeng Y., Peh E.C.Y. et al.: ‘Sensing‐throughput tradeoff for cognitive radio networks’, IEEE Trans. Wirel. Commun., 2008, 7, (4), pp. 1326–1337
[31]
Khan A.A., Rehmani M.H., Reisslein M.: ‘Cognitive radio for smart grids: survey of architectures, spectrum sensing mechanisms, and networking protocols’, Commun. Surveys Tuts., 2016, 18, (1), pp. 860–898
[32]
Kusaladharma S., Herath P., Tellambura C.: ‘An overview of cognitive radio networks’, in Kusaladharma S., Herath P., Tellambura C. (Eds.): ‘An overview of cognitive radio networks, Wiley encyclopedia of electrical and electronics engineering’ (Wiley, Hoboken, NJ, USA, 2017)
[33]
Zou Y., Zheng B., Zhu J.: ‘Outage analysis of opportunistic cooperation over rayleigh fading channels’, IEEE Trans. Wirel. Commun., 2009, 8, (6), pp. 3077–3085
[34]
Abramowitz M., Stegun I. (Eds.): ‘Handbook of mathematical functions with formulas, graphs, and mathematical tables’ (Dover Publications Inc., New York, 1972)
[35]
Jeffrey A., Zwillinger D. (Eds.): ‘Table of integrals, series, and products’ (Academic Press, Burlington, USA, 2007, 7th edn.
[36]
Fang F., Zhang H., Cheng J. et al.: ‘Joint user scheduling and power allocation optimization for energy‐efficient noma systems with imperfect CSI’, IEEE J. Sel. Areas Commun., 2017, 35, (12), pp. 2874–2885
[37]
Chen X., Jia R., Ng D.W.K.: ‘On the design of massive non‐orthogonal multiple access with imperfect successive interference cancellation’, IEEE Commun., 2019, 67, (3), pp. 2539–2551
[38]
Li S., Derakhshani M., Lambotharan S.: ‘Outage‐constrained robust power allocation for downlink mc‐noma with imperfect sic’. 2018 IEEE Int. Conf. on Communications (ICC), Kansas City, USA, 2018, pp. 1–7
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Published In
© 2021 The Institution of Engineering and Technology.
Publisher
John Wiley & Sons, Inc.
United States
Publication History
Published: 01 July 2019
Author Tags
Author Tags
- secondary transmission
- cognitive radio networks
- novel cooperative relaying scheme
- nonorthogonal multiple access
- idle channel
- secondary base station transmits
- power domain NOMA signal
- nearby secondary user
- SU
- decode‐ strategy
- ‐forward strategy
- spectrum sensing
- transmission phases
- flat Rayleigh fading channel model
- traditional orthogonal multiple access schemes
- NOMA‐based cooperative relaying
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