2012
DOI: 10.1109/tvt.2011.2175409
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Joint Optimal Subcarrier and Power Allocation for Wireless Cooperative Networks Over OFDM Fading Channels

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Cited by 37 publications
(42 citation statements)
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“…By the formula (6) and formula (8) can see that the capacity and the error probability has a nonlinear relationship, namely that when the capacity is optimal, the error rate is not always optimal. So it is not perfect to use the optimal value of any index of the capacity or the error probability as the objective function to optimize the power allocation.…”
Section: Relationship Between Capacity and Error Probabilitymentioning
confidence: 99%
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“…By the formula (6) and formula (8) can see that the capacity and the error probability has a nonlinear relationship, namely that when the capacity is optimal, the error rate is not always optimal. So it is not perfect to use the optimal value of any index of the capacity or the error probability as the objective function to optimize the power allocation.…”
Section: Relationship Between Capacity and Error Probabilitymentioning
confidence: 99%
“…Therefore, it is an important problem in the field of cooperative communication technology, namely, how to reasonably allocate power to improve the performance of cooperative communication system. At present, the power allocation scheme based on cooperative communication has become a research hotspot [3][4].…”
Section: Introductionmentioning
confidence: 99%
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“…It is clearly that the approximate measure will reduce the performance. Wang et al (2012a) propose a sub-carrier cooperation and user grouping method. The method can apparently reduce computational complexity.…”
Section: Introductionmentioning
confidence: 99%
“…Capacity and throughput can also be enhanced through cooperative resource sharing and scheduling among nodes within a network. At present, the joint subcarrier and power allocation problem is often formulated as an optimization problem of maximizing the system throughput or the weighted sum rate under the total sum power constraint and the individual power constraint, respectively [6], [7], [8], [9], [10], [11], [12]. The proposed strategies are based on nonlinear programming and the Lagrangian dual decomposition method.…”
Section: Introductionmentioning
confidence: 99%