SUMMARYThis paper describes an ICI mitigation method based on the generalized data-allocation of (1, − ) for orthogonal frequency division multiplexing systems. To improve the performance of the ICI mitigation for the higher-frequency offset, we propose an efficient search algorithm to generate the sub-optimal parameter for maximizing the carrier-to-interference ratio (CIR). The CIR and bit error rate performances of the proposed method were derived in this paper. The performances with different carrier frequency offset scenarios were evaluated by computer simulations. According to the simulation results, the performance of the proposed ICI mitigation scheme is better than that of the conventional ICI self-cancellation scheme and is nearly the same as that of the ICI self-cancellation scheme for the optimal parameter . Additionally, the proposed ICI mitigation scheme has a dramatically reduced hardware complexity in comparison with the ICI self-cancellation scheme for the optimal parameter .
This paper describes an adjustable fuzzy power control architecture for a multi-rate WCDMA system. The adjustable fuzzy power control architecture is employed to adaptively control the transmission power and select the suitable transmission rate in the uplink transmission. Unlike the conventional power control mechanisms, the proposed power control architecture can dynamically adjust the membership function of the fuzzy system by the input signal-to-interference (SIR) error and the error change. The adjustment of the membership function can improve the system performance in a time-varying fading channel. In addition, the conventional Lagrangian relaxation method and the fuzzy power control architecture with fixed membership function were evaluated by computer simulations. According to the simulation results, the adjustable fuzzy power control architecture achieves a smaller outage probability and has a higher average transmission rate than those of the prior power control architectures in a wireless fading channel.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.