On the Connections between Intertemporal and Intra-temporal Trades

This paper develops a new theory of international economics by introducing Heckscher-Ohlin features of intra-temporal trade into an intertemporal trade approach of current account. To do so, we consider a dynamic general equilibrium model with tradable sectors of different factor intensities, which allows for substitution between intertemporal trade (current account adjustment) and intra-temporal trade (goods trade). An economy's response to a shock generally involves a combination of a change in the composition of goods trade and a change in the current account. Flexible factor markets reduce the need for the current account to adjust. On the other hand, the more rigid the factor markets, the larger the size of current account adjustment relative to the volume of goods trade, and the slower the speed of adjustment of the current account towards its long-run equilibrium. We present empirical evidence consistent with the theory.

Bit-level Optimized Neural Network for Multi-antenna Channel Quantization

Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology. In order to reduce the overhead of CSI feedback, we propose a deep learning based CSI quantization method by developing a joint convolutional residual network (JC-ResNet) which benefits MIMO channel feature extraction and recovery from the perspective of bit-level quantization performance. Experiments show that our proposed method substantially improves the performance