Spectrum Allocation with Full Duplex by Using Effective DF Cognitive Radio Networks

Authors

  • P. Divya  PG Scholar, Annamalai University, Tamil Nadu, India.
  • Dr. P. Kailasapathi  Professor and Head, Annamalai University, Tamil Nadu, India

Keywords:

Cognitive Radio, Cooperative Communication, Full-Duplex, Decode-And-Forward, D.C. Programming, Successive Convex Approximation, Power Splitting, Energy Harvesting.

Abstract

The enormous growth of the radio frequency (RF),wireless powered cooperative cognitive radio network (CCRN) has drawn a rapid increase of interest for improving the spectrum utilization with encourage to motivate joint information and energy cooperation between the primary and secondary systems. Dedicated energy beam forming is have the intension of achieving of wireless power transfer at relieves the low efficiency, which nonetheless evoke out-of-band EH phases and thus low cooperation efficiency. To address this issue, in this paper, we consider a novel CCRN aided by full-duplex (FD)-enabled energy access points (EAPs) that can support to wireless charge the secondary transmitter while simultaneously receiving primary transmitter’s signal in the first transmission phase, and to perform decode-and-forward relaying in the second transmission phase. We examine a weighted sum-rate maximization problem subject to transmitting power constraints as well as a total cost constraint using successive convex approximation techniques. A zero-forcing-based suboptimal scheme that need only local channel state information for the EAPs to acquire their optimum receiving beam forming is also solved. Various tradeoffs between the weighted sum-rate and other system parameters are provided in numerical results to statement the effectiveness of the proposed solutions against the benchmark ones.

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Published

2018-04-28

Issue

Section

Research Articles

How to Cite

[1]
P. Divya, Dr. P. Kailasapathi, " Spectrum Allocation with Full Duplex by Using Effective DF Cognitive Radio Networks, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 3, pp.61-66, March-April-2018.