Zhangdui Zhong

TL;DR: In this paper, three types of ANNs, the Back Propagation Network, Radial Basis Function Neural Network and Extreme Learning Machine, were used to predict channel path loss and shadow fading.

TL;DR: By adding the obstructed V2V scenario into standard channel model families, this paper provides a foundation for evaluating intelligent vehicular communications in challenging conditions.

TL;DR: This paper investigates the downlink resource allocation problem for multimedia services delivery in HSR multiple-input multiple-output MIMO-orthogonal frequency division multiplexing OFDM system with a cellular/infostation integrated network architecture and proposes a dynamic resource allocation algorithm based on the stochastic optimisation technique.

TL;DR: This paper investigates the information-energy region for simultaneous wireless information and power transfer (SWIPT) system in mobility scenarios, where a moving transmitter transmits information and energy to a power splitting receiver by jointly optimizing the transmit power at the transmitter and the PS ratio at the receiver.