Novel Hybrid SOR- and AOR-Based Multi-User Detection for Uplink M-MIMO B5G Systems
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsDear authors,
I have read your manuscript on "A Novel Hybrid SOR and AOR-Based Multi-User Detection for Uplink M-MIMO B5G Systems" and it is very promising.
It would be great to put in practice this novel uplink Multi-User Detection on actual 5GS. Do you think that these systems can support the transceiver stated in figure 2?
On the manuscript, I have prepared the following observations:
1. Please add a limitation of this study paragraph to add clarity to the paper.
2. Please add a paragraph where you describe what software you have used to account for the proposed model and to compute the results and graphs. This will also add clarity to the paper.
3. I do not see a direct connection to the title subject Multi-User detection. Could you introduce a paragraph to add clarity on this subject?
4. Can you highlight in the conclusions section once again your contributions to the field on the subject?
5. As in 4 please add a sentence to describe why your algorithm achieves so great performance in comparison with the others. Your result is remarkable on BER vs others iterative methods. Please highlight that.
Good luck with your research. I look forward to see the final manuscript!
Author Response
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Author Response File: 
Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsM-MIMO orthogonal frequency division multiplexing (OFDM) and universal filtered multicarrier (UFMC) systems are complemented by a novel multi-user detection scheme (MUD) that combines the advantages of sequential over-relaxation (SOR) and accelerated over-relaxation (AOR), referred to as mixed over-relaxation (MOR).
As a result of proper parameter and waveform adjustments, the proposed scheme only requires a few iterations in 4G and B5G environments, and has excellent performance in BER, especially when used in B5G networks. As a result of proper parameter and waveform adjustments, the proposed scheme only requires a few iterations in 4G and B5G environments, and has excellent performance in BER, especially when used in B5G networks.
A proper and updated list of references is provided.
There is a difference in the font for the title of Figure 5 compared to all other figures' titles.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for AuthorsIn the paper, the authors divided MOR into the initial and collaboration stages. The former will produce appropriate initial parameters to improve feasibility and divergence risk. Then, the latter achieves rapid convergence and refinement performance through alternating iterations. Conducted simulations show that our proposed detection, compared with the BER performance of traditional SOR and AOR, can achieve 99.999% and 99.998% improvement, respectively, and keep the complexity at O(N2 ), it balances BER performance and complexity by fewer iterations. Generally, this is a good paper. It can be accepted if the authors can consider the following issues: 1. The motivation of the work should be further organized in the introduction part. 2. How to prove the novelties of the work? 3. More words are welcome for the figures. 4. More detection and optimization methods are welcome to enrich the literature review such as Ensuring Secure Platooning of Constrained Intelligent and Connected Vehicles Against Byzantine Attacks: A Distributed MPC Framework;Resilient and constrained consensus against adversarial attacks: A distributed MPC framework 5. The language should be improved as well.
Comments on the Quality of English LanguageIn the paper, the authors divided MOR into the initial and collaboration stages. The former will produce appropriate initial parameters to improve feasibility and divergence risk. Then, the latter achieves rapid convergence and refinement performance through alternating iterations. Conducted simulations show that our proposed detection, compared with the BER performance of traditional SOR and AOR, can achieve 99.999% and 99.998% improvement, respectively, and keep the complexity at O(N2 ), it balances BER performance and complexity by fewer iterations. Generally, this is a good paper. It can be accepted if the authors can consider the following issues: 1. The motivation of the work should be further organized in the introduction part. 2. How to prove the novelties of the work? 3. More words are welcome for the figures. 4. More detection and optimization methods are welcome to enrich the literature review such as Ensuring Secure Platooning of Constrained Intelligent and Connected Vehicles Against Byzantine Attacks: A Distributed MPC Framework;Resilient and constrained consensus against adversarial attacks: A distributed MPC framework 5. The language should be improved as well.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
