CFP last date
22 July 2024
Reseach Article

Proposed Precoder for the Secondary Transmitter in the Cognitive MIMO Radio Network

by Hoai Trung Tran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 22
Year of Publication: 2021
Authors: Hoai Trung Tran
10.5120/ijca2021921587

Hoai Trung Tran . Proposed Precoder for the Secondary Transmitter in the Cognitive MIMO Radio Network. International Journal of Computer Applications. 183, 22 ( Aug 2021), 20-26. DOI=10.5120/ijca2021921587

@article{ 10.5120/ijca2021921587,
author = { Hoai Trung Tran },
title = { Proposed Precoder for the Secondary Transmitter in the Cognitive MIMO Radio Network },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2021 },
volume = { 183 },
number = { 22 },
month = { Aug },
year = { 2021 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number22/32057-2021921587/ },
doi = { 10.5120/ijca2021921587 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:17:32.509888+05:30
%A Hoai Trung Tran
%T Proposed Precoder for the Secondary Transmitter in the Cognitive MIMO Radio Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 22
%P 20-26
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Currently, cognitive radio systems (CRSs) are of great interest to improve the efficiency of using the available spectrum. The spectrum sharing technique to share the spectrum between a primary transmitter (PT) and a secondary transmitter (ST) is influential in CRSs. However, when reusing the PT spectrum, the ST transmits energy and decoded data to the secondary users (SUs), and providing power to the energy receivers (ERs) also interferes with the primary users (PUs). One method used to increase the power delivered to the ERs, limit the interference to the PUs and increase the total channel capacity to the SUs is to use the weighted minimum mean squared error (WMMSE) method. This method combines increasing the channel capacity to the SUs and minimizing the error for the transmission channels. It will not focus on solving error reduction but rather on increasing the channel capacity through the precoder design at the STs. The proposed algorithm combines using the eigenvectors of the known channel matrix at the ST to generate beams; the distributed power value for each beam is calculated based on the Lagrangian operator combined with the Karush–Kuhn–Tucker (KKT) conditions to maximize capacity. This new method allows increased capacity compared to systems using WMMSE by other methods such as weighted sum rate (WSR), harmonic mean rate (HMR), or proportional fairness (PF) in different situations such as increasing the number of SUs, ERs, or PUs or limiting interference to given PUs..

References
  1. Thomas, R. W., Dasilva, L. A., Mackenzie, “A. B. Cognitive networks”, In First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore, MD (USA), 2005. DOI: 10.1109/DYSPAN.2005.1542652
  2. Umar, R., Sheikh, A. U. H., “Cognitive radio oriented wireless networks: challenges and solutions. International Conference on Multimedia Computing and Systems”, Tangiers (Morocco), 2012. DOI: 10.1109/ICMCS.2012.6320105
  3. Nguyen, V. T., Villain, F., Guillou, Y. L., “Cognitive radio RF: overview and challenges. Hindawi Publishing Corporation”, 2012, vol. 2012. DOI:10.1155/2012/716476
  4. Chatterjee, S., Roy, J. S., Bhattacharya, P. P., “Spectrum sensing techniques for cognitive radio - a survey”, International Journal of Applied Engineering Research, 2015, vol.10, no. 7, p. 16665-16684.
  5. Kusaladharma, S., Tellambura, C., “An Overview of Cognitive Radio Networks, Wiley Encyclopedia of Electrical and Electronics Engineering”, John Wiley & Sons, Inc, 2017, p.1-17. DOI: 10.1002/047134608x.w8355.
  6. Zhang, T., Huo, Y, Zhao, J. “Cooperative precoding design for cognitive wireless energy transfer networks”, IEICE Communications Express, 2018, vol.7, no.10, p.358–363. DOI: 10.1587/comex.2018XBL0089.
  7. Song, C., Lee, H., Lee, K. J., “Optimal Precoder Designs for Sum-Utility Maximization in SWIPT-Enabled Multi-User MIMO Cognitive Radio Networks”, EEE Systems Journal, 2019, vol. 13, issue. 3, p. 2332 – 2343. DOI: 10.1109/JSYST.2018.2875762
  8. Al-Ali, M. H., Ho, K. C., “Precoding for mimo channels in cognitive radio networks with csi uncertainties and for mimo compound capacity”, IEEE Transactions on Signal Processing, 2017, vol. 65, issue. 15, p. 3976 – 3989. DOI: 10.1109/TSP.2017.2701320
  9. Jiang, L., Tian, H., Qin, C., Gjessing, S., Zhang, Y., “Secure beamforming in wireless-powered cooperative cognitive radio networks”, IEEE Communications Letters, 2016. vol.20, issue.3, p. 522-525, DOI: 10.1109/LCOMM.2016.2514353
  10. Maurya, S., Bansal, M., “Design of energy-efficient precoders in MIMO cognitive two-way relay network”, Wireless Networks, 2020, vol. 26, issue. 1, pp. 293–305. DOI: 10.1007/s11276-018-1813-1
  11. Mou, W., Yang, W., Huang, Y., Xu, X., Cai, Y., Wang, K., ”On the security of cooperative cognitive radio networks with distributed beamforming”, EURASIP Journal on Wireless Communications and Networking, 2017, vol.144. DOI 10.1186/s13638-017-0923-2
  12. Zhu, J., “Security-reliability trade-off for cognitive radio networks in the presence of eavesdropping attack”, EURASIP Journal on Advances in Signal Processing, 2013, vol. 169. DOI: 10.1186/1687-6180-2013-169
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Radio Systems primary transmitter primary users secondary transmitter seconday users energy receivers transmit precoders