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[ÇóÖú] ͶÁËICL¸øÁËrejected-and-resubmission allowedµÄÒâ¼û£¬ÇóÖú´óÅ£ÃÇÔõô¿´ ÒÑÓÐ2È˲ÎÓë

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The review of the referenced manuscript, CL2015-2386, is now complete. I regret to inform you that based on the enclosed reviews and my own
reading of your manuscript, I am unable to recommend its publication in IEEE Communications Letters.

You may revise and resubmit your manuscript to IEEE Communications Letters. When you do so, please include a cover letter that indicates the
new submission is a revision of an earlier manuscript and the reference number of that prior manuscript. Also include as a supporting document a
point-by-point response to the comments of the reviewers and the editor. The responses to comments file must be uploaded in PDF format in the same
section in your submission as the body of your paper in ScholarOne Manuscripts, and not under the cover letter. Please also be aware that ALL
submissions to IEEE Communications letters must complete the Electronic Copyright Process.

If you decide to resubmit your manuscript you should complete the resubmission through the Manuscript Central. Click on "Manuscripts with
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Note, that according to the IEEE COMML policy, the maximum number of permitted resubmissions after a Reject-Resubmission Allowed decision is one
(1) and the maximum number of permitted Minor Revisions is (2).

Additional comments include:
The paper was evaluated by three independent reviewers who pointed out
several issues to be addressed and/or clarified. The authors should revise
the paper accordingly in a possible resubmission.

Reviewer: 1
Comments to the Author
IEEE Communications Letters
In theory, this Letter gives a good solution to the resource allocation problem usually occurred in the context of cognitive multi-pair relaying
transmission, by use of a similar optimisation strategy to those widely used for sub-carrier allocation in multi-user ODFM context (although the cost
function varies).

In practice, however, how to find a so-called "central controller, which collects all the required information", as claimed by the authors at the end of
Section II? Especially, in a large cognitive networks with mobile users, how can a central controller (even if it exists like a genius), how can it determine
which users should be grouped to jointly perform Tx power allocation? Similarly, which relays should be chosen as a potential group used to serve the aforementioned users? With such regards, the reviewer does not believe that such a central resource allocation strategy is of any practical interest in real wireless systems. Instead, some distributed strategies are more promising.

On the other hand, to better demonstrate the necessity of such complex resource-allocation operations, could the authors compare the end-to-end
performance, e.g., in terms of sum date rate of secondary transmission, between the proposed transmission scheme and the simplest scheme with
fixed power allocation and random relay selection?

Reviewer: 2
Comments to the Author
In this article, the authors investigate the resource optimization
problem for the multi-user multi-relay decode-forward (DF)
cognitive radio networks. The reviewer has the following concerns:
1)The authors should include the structure of the document.
2)The reviewer thinks that it would be important to explain the reason why these parameters results were chosen. Also, the authors should include references of articles that consider the discrete particle swarm optimization (DPSO) algorithm and the traditional water-filling (TWF) algorithm in cognitive radio.
3)The authors should explain better the metric bandwidthpower product (BPP). How the use of this metric improves the spectrum efficiency?
4)The authors created so much variables, it is hard to follow the sequence through the paper. The authors should review all the text and try to write the article with the minimum of variables. For instance, the authors use R^{n}_{m,k}, c_m, c for the transmission rate.¡¢
5)The authors should explain better the arrangement of the nodes in the network. It is hard to see the localization of the nodes with a expression as "3+0.2¡Árand[0, 1]".
6)What is the value of R_{max} in the numerical results?
7)Are the parameters of the numerical results normalized? What is the unit of the metric bandwidthpower product (BPP)? Is the rate requirement c in bpcu or bps?
8)How is the results for a scenario where the primary receivers accept a great quantity of interference? For instance with I_{th} = 15 dB.
9) The equation (11) must be rewritten, because for c different of one, the  supposition is not valid. The authors should write the variable w_{m,k} as (P_{sm}+P_k)/((2^c-
1)sigma^2), so the equation is valid independently of sigma and c.

Reviewer: 3
Comments to the Author
The authors applied bandwidth-power product as a metric of optimization
and use joint optimal relay matching and greedy resource allocation (JRMRA)
algorithm as a solution. I am not sure about the novelty of the proposed
optimization and the proposed solution.
In general the paper is well written and helps the researcher in this field.
I did some search and I found the following paper, [R1] at the bottom, which is very close to this work, however the authors did not clarify their novelty to
this work in the introduction section. In some parts it is a straightforward
extension to [R1]
Also I have found the following paper, [R2], also the authors did shoe their
contribution over it.
In general the paper is well written and helps the researcher in this field.

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