Skip to main content

Optimal Channel Selection and Power Control over D2D Communications Based Cognitive Radio Networks

  • Conference paper
  • First Online:
Communications and Networking (ChinaCom 2016)

Abstract

We develop the joint optimal channel selection and power control scheme for video streaming with D2D communications in cognitive radio networks. In particular, we build the virtual queue model to evaluate the delays experienced by various streaming, which reflects the video distortion. To minimize the video distortion, we formulate an optimization problem, which is proved to be a quasi-convex optimization problem. Using the hypo-graph form, we convert the original problem into an equivalent convex optimization problem, solving which we can derive the joint channel selection and power control scheme in D2D communications based cognitive radio networks. The extensive simulation results obtained validate our developed joint channel selection and power control scheme. We also show that our developed scheme can significantly increase the average peak signal-to-noise ratio (PSNR) as compared with the existing research works.

This work was supported in part by the National Natural Science Foundation of China (No. 61401330), the 111 Project of China (B08038), and the Natural Science Foundation of Shaanxi Province (No. 2016JQ6027).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. Cheng, W., Zhang, X., Zhang, H.: Full-duplex spectrum-sensing and MAC-protocol for multichannel nontime-slotted cognitive radio networks. IEEE J. Sel. Areas Commun. 33(5), 820–831 (2015)

    Article  Google Scholar 

  2. Cheng, W., Zhang, X., Zhang, H.: Optimal power allocation with statistical QoS provisioning for D2D and cellular communications over underlaying wireless networks. IEEE J. Sel. Areas Commun. 34, 1–12 (2015)

    Google Scholar 

  3. Mohammad, G.K., Yan, Z., Kwang, C.C.: Connectivity of cognitive device-to-device communications underlying cellular networks. IEEE J. Sel. Areas Commun. 33(1), 81–99 (2015)

    Article  Google Scholar 

  4. Sakr, A.H., Tabassum, H., Hossain, E., Kim, D.I.: Cognitive spectrum access in device-to-device-enabled cellular networks. IEEE Commun. Mag. 53(7), 126–133 (2015)

    Article  Google Scholar 

  5. Chiang, M.: Balancing transport and physical layers in wireless multihop networks: jointly optimal congestion control and power control. IEEE J. Sel. Areas Commun. 23(1), 104–116 (2005)

    Article  Google Scholar 

  6. Kleinrock, L.: Queuing Systems, Volume I: Theory. Wiley-Interscience, New York (1975)

    MATH  Google Scholar 

  7. Bertsekas, D., Gallager, R.: Data Networks. Prentice Hall Inc, Upper Saddle River (1987)

    MATH  Google Scholar 

  8. Jiang, T., Tham, C.K., Ko, C.C.: An approximation for waiting time tail probabilities in multiclass systems. IEEE Commun. Lett. 5(4), 175–177 (2001)

    Article  Google Scholar 

  9. Stuhlmuller, K., Frber, N., Link, M., Girod, B.: Analysis of video transmission over lossy channels. IEEE J. Sel. Areas Commun. 18(6), 1012–1032 (2000)

    Article  Google Scholar 

  10. Shiang, H.P., Schaar, M.: Queuing-based dynamic channel selection for heterogeneous multimedia applications over cognitive radio networks. IEEE Trans. Multimedia 10(5), 896–909 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ya Gao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Gao, Y., Cheng, W., Ren, Z., Zhang, H. (2018). Optimal Channel Selection and Power Control over D2D Communications Based Cognitive Radio Networks. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66628-0_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics