Han Wang

TL;DR: Simulation results and analysis show that the proposed hybrid PTS-TR scheme could provide better PAPR reduction than conventional PTS and TR schemes in FBMC/OQAM systems.

TL;DR: A low-complexity sparse adaptive CE scheme is proposed that is based on a dynamic threshold that reduces the number of inner product calculations by considering only the columns of the measurement matrix greater than the threshold.

TL;DR: An intelligent OP prediction algorithm based on the improved cuckoo search (ICS) is presented and the results show that it has a better OP prediction performance than the existing algorithms.

TL;DR: The physical layer security performance of the mobile vehicular networks over N- Nakagami fading channels is investigated and exact closed-form expressions for the probability of strictly positive secrecy capacity, secrecy outage probability, and average secrecy capacity are derived.

TL;DR: A back-propagation (BP) neural network-based ABEP performance prediction algorithm is proposed and test the extreme learning machine (ELM), linear regression (LR), support vector machine (SVM), and BP neural network methods on the basis of results verify that this method can consistently achieve higher AB EP performance prediction results.