Abstract
Multicarrier code division multiple access (MC-CDMA) is one of the effective techniques for high data rate transmission with large user capacity. The use of carrier interferometry (CI) codes further improves this user capacity relative to the conventional spreading codes. However, CDMA is interference limited and needs proper power allocation for channel capacity (data transmission rate) improvement. According to Shannon’s theorem, channel capacity i.e data transmission rate increases with the increase in transmit power due to an increased signal-to-noise-ratio (SNR). MC-CDMA system being multiuser communication system, both signal and interference power are increased with the increase in transmit power which in turn demands optimum power allocation for transmission capacity improvement. In this paper, we develop an adaptive transmit power allocation technique for carrier interferometry multicarrier code division multiple access (CI/MC-CDMA) system using Genetic Algorithms (GA). GA is used to find the optimum transmitted powers that maximize the channel capacity as well as reduce BER values. Objective function is defined as maximum channel capacity in a power constraint scenario. We have reported the performance of both the non-power adaptive and GA based proposed adaptive systems. Simulation results show that significant improvement in BER performance and transmission capacity are achieved in the present system.
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Maity, S.P., Hati, S. (2011). Adaptive Power Allocation in CI/MC-CDMA System Using Genetic Algorithms. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_61
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DOI: https://doi.org/10.1007/978-3-642-22720-2_61
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