kumoh national institute of technology
Networked Systems Lab.

Gaspard, "Efficient-Spectrum Management Based on Localization of Primary User Position Toward 5G"
By : Gaspard
Date : 2020-01-14
Views : 185

Ref: PHYCOM_2020_15
Title: Efficient-Spectrum Management Based on Localization of Primary User Position Toward 5G
Journal: Physical Communication
Dear Professor. Kim,
Thank you for submitting your manuscript to Physical Communication.
I regret to inform you that the reviewers have advised against publishing your manuscript, and we must therefore reject it. Below please find the detailed referee reports. We do hope that the reports will help you to improve your paper accordingly.
We appreciate the opportunity to consider your work for our journal.
Kind regards,
Dr. Janne Lehtomäki
Area Editor
Physical Communication
Comments from the editors and reviewers:
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English should be improved
Authors mention that they choose overlay cognitive radios. However, rest of the paper seems focus on PD/PFA and sensing (interweave cognitive radios). I did not see anything specific to overlay cognitive radios.
I have never seen (2) for (3) for energy detector (ED). For example (3) seems to assume zero-mean gaussian with variance 1.
Are you approximating chi-squared distribution with gaussian but then why mean and variance are not proper?
Please note that when there is only noise present, ED output follows chi-squared distribution with 2*TW degrees of freedom.
This can be approximated as Gaussian for large TW but mean and variance are not 0 and 1, respectively, as assumed in this paper.
Please provide reference to (7) and (9).
What is difference to many papers using Kalman filter for localization?
Also, there already several papers using Kriging interpolation for REMs. What is difference to them?
There are already papers on joint PU localization and sensing, these should be cited.
What is difference between PU and primary TX in p.20?
Do simulations results assume that PUs have constant acceleration? I think this is not very realistic case.
In figure 5, how was decision time found? Do you require some certain PD or?
In figure 6, PD values are very low. Real systems require
PD >= 0.90 (at least). It seems even at high SNR Fig. 6 get only 0.05 PD
Typically, with energy detection we assume that PFA is fixed. Alternative is that PD is fixed. But in this paper both PD and PFA vary.
Throughput values in Megabits/s/Hz in figure 10 seems extremely high. Are you sure "M" (Mega) should be here?
Table III shows that error estimate for KF is 0. How 0 is possible, there should always be some error
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