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Volume 8
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Article
Peer-Review Record

Robust Joint Optimization of Transmit Power and Decoding Order in Uplink NOMA Systems

Electronics 2019, 8(9), 930; https://doi.org/10.3390/electronics8090930
by Van-Phuc Bui, Hieu V. Nguyen, Van-Dinh Nguyen and Oh-Soon Shin *
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Electronics 2019, 8(9), 930; https://doi.org/10.3390/electronics8090930
Submission received: 20 July 2019 / Revised: 19 August 2019 / Accepted: 20 August 2019 / Published: 25 August 2019
(This article belongs to the Section Microwave and Wireless Communications)

Round 1

Reviewer 1 Report

The paper is well written and shows the results of theoretical analysis of optimization problem stated as maximizing the lowest throughput of users operating in uplink NOMA systems. The authors presented a nice analysis supported by a good mathematical background and simulation results for relatively simple scenarios. For that reason I evaluated the overall merit of the paper as high. Despite that I wonder what is the practical meaning of the proposed optimization algorithm. Can it be performed in a real time in a NOMA system? In the theoretical analysis we often consider a Shannon throughput as a measure of achievable data rate, as it was done also by the authors. However, the real situation is more complicated as the false detection of a user taken from the pool of users served by the given base station has a significant influence on the detection quality (and in consequence the throughput) of the undetected remaining users. This creates highly non-linear which is very difficult in analysis problem, but it illustrates a practical situation. Could the authors comment the real situation with that they consider?   

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors have presented a technique for joint optimization of transmit power and decoding order in Uplink NOMA systems. The paper is technically sound and based on an important topic. However, the presentation can be improved by addressing the following comments:


The authors need to clearly articulate the proposed technique, a toy example could be useful.

The numerical results are not sufficient. The results need to include the gap between optimal (exhaustive) solution and the sub-optimal (proposed) solution. Also, if the number of users vary, how does it impact the solutions?

If the authors decode the user with better channel conditions first and then the next one accordingly, how does it affect the rate? The authors can read a relevant paper on this approach (the context is slightly different though):

https://www.sciencedirect.com/science/article/pii/S1874490715000440

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The authors have adequately addressed my comments

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