z-logo
open-access-imgOpen Access
Spectrum Sharing Network With Wireless Energy Harvesting at Finite Blocklength Regime
Author(s) -
Baogang Li,
Ruonan Dong,
Binyang Yan,
Wei Zhao
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2875143
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In this paper, a spectrum sharing communication system with wireless energy harvesting is investigated at finite blocklength regime over Rayleigh quasi-static block-fading channels. We analyze the error probability and average delay of the secondary user (SU). The closed-form approximations for the SU error probability and average delay are derived, as functions of the number of channel uses in its information transfer phrase. Under the error probability constraint of the primary user (PU), we investigate the power constraint on the SU. Meanwhile, the error probability and energy supply constraints on the SU are also explored. Numerical results demonstrate that the approximation is very tight for a wide range of signalto-noise ratio (SNRs). The existence of an optimum number of channel uses for SU information transfer is also verified. Moreover, under the error probability constraint of PU, the SU maximum transmit power is validated to increase with the length of an entire block. In addition, for a given target error probability, we show that the SU error probability constraint can be satisfied within the boundary numbers of channel uses in its information transfer phrase. Finally, the energy supply probability is shown as the harvested energy in each channel use with independent and exponential distribution.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom