COMPETITION AND GROWTH: A TIME SERIES ANALYSIS FOR SOUTH KOREA

By utilising South Korea’s annual data from 1986 to 2004, the regression results are found to be consistent with the hypothesis that more intense competition makes a substantial contribution to real per capita income growth rate. It is also evident in the structural change analysis that competition has intensified due to the regulatory reform over the period 1999 to 2004, which in turn enhanced the real per capita income growth rate. It has been observed that competition is highly sensitive to real per capita income growth rate. Therefore, the choice of South Korea’s policy instruments should be based upon the intensity of competition through the market monitoring mechanism of large companies (e.g., private lawsuits for damage compensation in antitrust cases) as well as regulatory reform.Competition, Real Per Capita Income Growth Rate, Structural Break Analysis, Market Monitoring Mechanism

Development and Modelling of High-Efficiency Computing Structure for Digital Signal Processing

The paper is devoted to problem of spline approximation. A new method of nodes location for curves and surfaces computer construction by means of B-splines and results of simulink-modeling is presented. The advantages of this paper is that we comprise the basic spline with classical polynomials both on accuracy, as well as degree of paralleling calculations are also shown.Comment: 4 Pages, 5 figures, IEEE International Conference on Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '0

Resource Allocation Techniques for Wireless Powered Communication Networks with Energy Storage Constraint

This paper studies multi-user wireless powered communication networks, where energy constrained users charge their energy storages by scavenging energy of the radio frequency signals radiated from a hybrid access point (H-AP). The energy is then utilized for the users' uplink information transmission to the H-AP in time division multiple access mode. In this system, we aim to maximize the uplink sum rate performance by jointly optimizing energy and time resource allocation for multiple users in both infinite capacity and finite capacity energy storage cases. First, when the users are equipped with the infinite capacity energy storages, we derive the optimal downlink energy transmission policy at the H-AP. Based on this result, analytical resource allocation solutions are obtained. Next, we propose the optimal energy and time allocation algorithm for the case where each user has finite capacity energy storage. Simulation results confirm that the proposed algorithms offer 30% average sum rate performance gain over conventional schemes