Multi-Radio Cooperation Technology and Heterogeneous Network Convergence

The heterogeneous network convergence is the trend of future network development. However, many bottlenecks exist in the converged system such as high time delay, high energy consumption, and low data rate. Multi-Radio Cooperation (MRC) technology is specially designed to overcome these bottlenecks and to satisfy the requirements of heterogeneous network convergence. MRC can improve network capacity, reduce the energy consumption of radio devices, and decrease handover latency between heterogeneous networks by the cooperation of multiple radios, and by efficient management and feasible allocation of multi-radio resources. MRC makes real seamless heterogeneous network convergence possible.

Key Technologies of Wireless Heterogeneous Network Security

Convergence and collaboration of heterogeneous networks in the next generation public mobile networks will be a subject of universal significance. Convergence of heterogeneous networks, as an effective approach to improve the coverage and capacity of public mobile network, to enable communication services, to provide Internet access and to enable mobile computing from everywhere, has drawn widespread attention for its good prospects in application. Construction of security system for wireless heterogeneous networks and development of new security models, key security techniques and approaches are critical and mandatory in heterogeneous networks development. Key technology of wireless heterogeneous networks security covers security routing protocol, access authentication, intrusion detection system, cooperative communication between nodes, etc.

Can a Government Initiate Enterprise Reform to Improve Efficiency？ A Cross-Section Analysis of the Chinese Pharmaceutical Industry

This paper examines the privatization, implemented by the effects of state-owned enterprises （SOE） Chinese government in the 1990s, on enterprise efficiency for a sample of non-privatized SOEs and privatized ex-SOEs. The study calculates input-oriented DEA meta-frontier efficiency scores, after accounting for heterogeneity in technology across groups. These scores are used to test whether or not one group＇s technology dominates the other. A measure of additional input saving is also provided if these enterprises have access to unrestricted rneta-technology. The analysis of the Chinese pharmaceutical industry reveals that privatization has not improved enterprise efficiency, at least in the short run. Almost 56% of inputs could be proportionally saved if these privatized ex-SOEs had been efficient, relative to the recta-production technology while non-privatized SOEs could proportionally save only 51%. Privatized ex-SOEs had less ability to access to meta-technology. This finding could be explained by subsequent observations that China, at the time of our analysis, did not have well-established intellectual property rights and formal drug approval procedures; these two factors are important driving forces for developing joint ventures with foreign investors to gain additional capital funding and technology transfer. Broadly speaking, our results are consistent with the subsequent shakeup in the Chinese pharmaceutical industry.

Stackelberg-based dynamic incentive pricing algorithm in heterogeneous ubiquitous network

A challenge in the convergence of heterogeneous networks is how to combine the ubiquitous resources and provide the diversified individual services. This paper designs a market model for aggregating reconfiguration in heterogeneous networks based on the tradeoff between resource allocation and consumers＇ requirement. To unify the benefits of operators and consumers, a novel Stackelberg-based dynamic incentive pricing algorithm is proposed. The results of the theoretical analysis and simulation demonstrate that the proposed strategy provides incentive for cooperation by means of appropriate resource allocation, and improves the utilization of network resources, thereby effectively realizing the optimization of the whole network performance.