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For a given subcarrier, the subproblem is given by (6).
If, for a given subcarrier, the relay helps both sources, it decodes the sources' codewords successively.
This shows that the statistics of the signal and leakage powers for a given subcarrier and user remain unchanged.
We propose an iterative method, where at each iteration we first solve the subproblems (6) to obtain an user-to-carrier allocation for a given subcarrier power allocation,.
Also, if, for a given subcarrier, the relay helps both sources simultaneously, it re-encodes the decoded sources' codewords via superposition coding.
This is motivated by the fact that for a given subcarrier allocation (SA), the power allocation is a single-user water-filling (SUWF) for each user.
Similar(49)
First, we have formulated the channel estimate MSE minimization problem for a determined subcarrier set as an SDP, then we have employed convex optimization techniques to obtain near optimal power distribution to a given subcarrier set.
In Figure 3, we illustrate how to compute the interference caused by the different subcarriers of F A to a given subcarrier m of system (B).
Define μ k * [ n ] as the optimal PA for given subcarrier n if assigned to user k.
The equal-rate resource allocation is specified for a fixed subcarrier assignment in Section 'Multiuser resource allocation given subcarrier assignment'.
We will first derive the SDR for a given data-bearing subcarrier based on the Bussgang's theory.
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