2017
DOI: 10.1504/ijcse.2017.081168
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A resource allocation evolutionary algorithm for OFDM system

Abstract: Abstract:Resource allocation for orthogonal frequency division multiplexing Orthogonal Frequency Division Multiplexing (OFDM) system, as a core technology for the 4th generation mobile communication system, has shown significant importance in the improvement of system transmission rate. At present, the two-step algorithm is described as a main method to deal with resource allocation for OFDM system. As carrier allocation and power allocation are not independent of each other, the two-step algorithm may result … Show more

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Cited by 4 publications
(4 citation statements)
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References 30 publications
(31 reference statements)
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“…In order to verify the performance of our proposed solution method using the PA-Jaya algorithm, the simulation model was run 10 times under the same parameter settings, and the average value was obtained. Moreover, the computational performance was also compared between our solution method and other popular algorithms, including SA [ 20 ], GA [ 21 ], PSO [ 22 , 23 ], DE [ 24 ], ICO [ 25 ], and traditional Jaya [ 33 ]. The detailed parameter settings for each algorithm can be found in Table 2 .…”
Section: Simulation Results and Analysesmentioning
confidence: 99%
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“…In order to verify the performance of our proposed solution method using the PA-Jaya algorithm, the simulation model was run 10 times under the same parameter settings, and the average value was obtained. Moreover, the computational performance was also compared between our solution method and other popular algorithms, including SA [ 20 ], GA [ 21 ], PSO [ 22 , 23 ], DE [ 24 ], ICO [ 25 ], and traditional Jaya [ 33 ]. The detailed parameter settings for each algorithm can be found in Table 2 .…”
Section: Simulation Results and Analysesmentioning
confidence: 99%
“…Generally speaking, the existing solutions mostly use the traditional mathematical optimization method or some greedy searching algorithms, which may suffer from a quite high computational complexity during the implementation process [ 18 , 19 ]. Some evolutionary algorithms, including simulated annealing (SA) [ 20 ], genetic algorithm (GA) [ 21 ], particle swarm optimization (PSO) [ 22 , 23 ], differential evolution (DE) [ 24 ], and immune clonal optimization (ICO) [ 25 ], are employed to deal with this issue, with the help of their effective computational features in the swarm intelligence paradigm. Through the use of those algorithms, a satisfactory solution effect was achieved during the resource allocation in CRNs [ 20 , 21 , 22 , 23 , 24 , 25 ].…”
Section: Introductionmentioning
confidence: 99%
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“…Although D2D communication has received incremental attentions in both 4G and 5G networks [14], the performance of system throughput and spectral efficiency can be improved [15]. Meanwhile, the interference to the cellular network is inevitably enhanced due to RBs’ sharing [16]. The method adopted to deal with the interference problem when CUs share RBs with D2D pairs is depicted as: the power control procedure is implemented to ensure that the interference from D2D pairs to CUs do not exceed a given threshold, followed by the application of a proper allocation algorithm to optimize the matching of D2D pairs and RBs to achieve a significant system performance increase.…”
Section: Introductionmentioning
confidence: 99%