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Article
Peer-Review Record

Robust Resource Control Based on AP Selection in 6G-Enabled IoT Networks

Sensors 2023, 23(15), 6788; https://doi.org/10.3390/s23156788
by Ashu Taneja 1,*, Ali Alqahtani 2, Nitin Saluja 1 and Nayef Alqahtani 3
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Sensors 2023, 23(15), 6788; https://doi.org/10.3390/s23156788
Submission received: 21 June 2023 / Revised: 21 July 2023 / Accepted: 22 July 2023 / Published: 29 July 2023
(This article belongs to the Special Issue Sustainable Solutions for 6G-Enabled Internet of Things Networks)

Round 1

Reviewer 1 Report

The paper proposes a dynamic framework for 6G enabled IoT network that offers massive connectivity and enhanced network coverage. It also presents an algorithm for robust resource control based on access point selection. The performance of the proposed model is evaluated for data rate and spectral efficiency, and compared with other models. 

1. The title of the paper is not according to the standard format, nor it presents main them of the work.

2. The abstract is not clear, like  This paper presents a dynamic framework..... there are many dynamic framework what is the name of your framework, similarly,  the authors mentioned that An  algorithm is proposed... no name of the algorithm. So in conclusion the complete abstract must be revised to clearly define your main theme of the work. 

3.  The key words are completly different for the title and abstract, In the abstract the authors are talking about the algorithm, dynamic framework and in the keyword section the authors have mentioned the IoT network.  

4.  The introduction is weak, if the authors aim is to elaborate the Internet of drone technology and they want to add something about the UAV 6 G communication technology then they must follow the following articles to get idea and revise the introduction part. 

[1]. "Channel Modeling for UAV-to-Ground Communications with Posture Variation and Fuselage Scattering Effect," in IEEE Transactions on Communications, doi: 10.1109/TCOMM.2023.3255900.

[2]. Qiuming Zhu, Zikun Zhao, Kai Mao, Xiaomin Chen, Weiqiang Liu, Qihui Wu, A Real-Time Hardware Emulator for 3D Non-Stationary U2V Channels. IEEE Transactions on Circuits and Systems-I: Regular Papers , 2021, 68(9): 3951-3964.

5.  The system model is not properly discussed, the link among transmitter and reciever, the shape of communication area, discussion about line of sight and which band of frequency is suitable for IoDT. The author can study the following paper for this. 

[1]. Kai Mao, Qiuming Zhu, Maozhong Song, Hanpeng Li, Benzhe Ning, Gert Frolund Pedersen, Wei Fan, Machine Learning-Based 3D Channel Modeling for U2V mmWave Communications, IEEE Internet of Things Journal, Mar. 2022, early access, DOI: 10.1109/JIOT.2022.3155773.

6. The relation of filter banks are need to be discussed that how the modulation signals are filtered and transmitted to the reciefver like "“Architecture optimization for filtered multicarrier waveforms in 5G,” Wireless Personal Communications, vol. 1, pp. 1–24, 2022." 

7.  The results are in insufficient and not related to the proposed model, Which algoirthm the author used, not mentioned, how this is good from others not discussed. Which type of communication transmission path they A2G, G2A or A2A or A2V. The results need be updated. 

8. The conclusion is also not consistent  with the proposed model. 

 

 

The English presentation of the manuscript is poor. 

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

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Comments for author File: Comments.pdf

Some minor mistakes have been found in the manuscript, so I suggest authors to review the manuscript in order to fix them.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

The paper could be improved in the following aspects:

- In abstract, the authors mentioned the context is in 6G, as 5G lacks capabilities. Since 6G is not standardized yet, it would be great to explain the major difference/improvements from 5G to next generation.

- It is appreciated to introduce background and context of the work. However, the background in IoT and 6G could be better organized. For example, the current description lists emerging technologies in 6G and their limitations. But it would be pretty hard to understand the problem and have a big picture based on such elaboration. It may be easier to follow if the author could provide the demand, generic challenges, and limitation of existing techniques, as the order and on a higher level.

- The problem scope is not very clear. Specifically, the AP assigment problem is originated from mMIMO. So there is a gap that why mMIMO is necessary for IoT. In addition, what is the insight/intuition behind usage of a subset of AP other than any other pattern.

- In addition to overall cost and performance in static case, it would be great to discuss the reliability and cost of AP allocation under mobility, i.e. handovers. It provides another critical factor to design AP selection algorithms.

Overall writing is clear. Some sentences are too long to easily follow.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors have addressed the comments, however, there are still some amendements are needed. 

1. Abstract is still need some improvement like PBAS is not defined, and there is always comma before respectively. " 1.0501 bits/s/Hz attained with transmission 17 scheme 1 and 2 respectively.

2. 3.1. PBAS Algorithm in section and subsection the abbreviiation must write in elaborated form. 

3. Figure 2. Flowchart of the proposed algorithm, there is always full stop after figure and table captions.

4.  evaluated in fig. 5 for the proposed 243  The figure 5 must write from capital word. 

 

English of the paper is very poor, which must be revised and proofread. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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