Design of MC-CDMA receiver using radial basis function network to mitigate multiple access interference and nonlinear distortion
| Autor: | C. V. Ravi Kumar, Kala Praveen Bagadi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Radial basis function network Minimum mean square error Code division multiple access Computer science business.industry 02 engineering and technology Interference (wave propagation) 020901 industrial engineering & automation Interference (communication) Artificial Intelligence Control theory Nonlinear distortion 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless 020201 artificial intelligence & image processing business Software Computer Science::Information Theory Communication channel |
| Zdroj: | Neural Computing and Applications. 31:1263-1273 |
| ISSN: | 1433-3058 0941-0643 |
| DOI: | 10.1007/s00521-017-3127-0 |
| Popis: | Multicarrier code division multiple access (MC-CDMA) is a novel wireless communication technology with high spectral efficiency and system performance. However, all multiple access techniques including MC-CDMA were most likely to have multiple access interference (MAI). So, this paper mainly aims at designing a suitable receiver for MC-CDMA system to mitigate such MAI. The classical receivers like maximal-ratio combining and minimum mean square error fail to cancel MAI when the MC-CDMA is subjected to nonlinear distortions, which may occur due to saturated power amplifiers or arbitrary channel conditions. Being highly nonlinear structures, the neural network (NN) receivers such as multilayer perceptron and radial basis function networks could be better alternative for such a case. The possibility NN receiver for a MC-CDMA system under different nonlinear conditions has been studied with respect to both performance and complexity analysis. |
| Databáze: | OpenAIRE |
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