Ning Zhang

Jon W. Mark

Security-Aware Cooperation in Cognitive Radio Networks

Algorithm/architecture Co-design for Wireless Communications Systems

Yi Wang

Chongqing Kang

Ershun Du

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

Analytics and Optimization for Renewable Energy Integration

Kerstin Schwabe

The papers of the volume mirror the ongoing debate on approaches towards two related topics: conjunction and ellipsis. The major issues are the syntactic relationship between the conjuncts, the syntactic category of the conjunction words, the size of the conjuncts, the syntactic and semantic status of the null elements, and semantic and information structural restrictions. A wide range of facts from various languages are explored in relation to phrasal coordination, Gapping, Pseudogapping, VP-ellipsis, and Sluicing.

Ellipsis in Conjunction

We have witnessed a massive growth in wireless data, which almost doubles every year. The wireless data is expected to skyrocket further in the future due to the proliferation of devices and the emerging data-hungry applications. To accommodate the explosive growth in mobile traffic, a large amount of wireless spectrum is needed. With the limited spectrum resource, the current static spectrum allocation policy cannot serve well for future wireless systems. Moreover, it exacerbates the spectrum scarcity by resulting in severe spectrum underutilization. As a promising solution, dynamic spectrum access (DSA) is envisaged to increase spectrum efficiency by dynamic sharing all the spectrum. DSA can be enabled by cognitive radio technologies, which allow the unlicensed users (the secondary users, i.e., SUs) to dynamically access the unused spectrum (i.e., spectrum holes) owned by the licensed users (the primary users i.e., PUs). In order to identify the unused spectrum (spectrum holes), unlicensed users need to conduct spectrum sensing. While spectrum sensing might be inaccurate due to multipath fading and shadowing. To address this problem, user cooperation can be leveraged, with two main forms: cooperative spectrum sensing and cooperative cognitive radio networking (CCRN). For the former, SUs cooperate with each other in spectrum sensing to better detect the spectrum holes. For the latter, SUs cooperate with the PUs to gain access opportunities from the PUs by improving the transmission performance of the PUs. Whereas cooperation can also incur security issues, e.g., malicious users might participate into cooperation, corrupting or disrupting the communication of legitimate users, selfish users might refuse to contribute to cooperation for self-interests, etc. Those security issues are of great importance and need to be considered for cooperation in DSA. In this thesis, we study security-aware cooperation in DSA. First, we investigate cooperative spectrum sensing in multi-channel scenario such that a user can be scheduled for spectrum sensing and spectrum sharing. The cooperative framework can achieve a higher average throughput per user, which provides the incentive for selfish users to participate in cooperative spectrum sensing. Second, secure communication in CCRN is studied, where the SUs cooperate with the PU to enhance the latter's communication security and then gain transmission opportunities. Partner selection, spectrum access time allocation, and power allocation are investigated. Third, we study risk aware cooperation based DSA for the multiple channel scenario, where multiple SUs cooperate with multiple PUs for spectrum access opportunities, considering the trustworthiness of SUs. Lastly, we propose an incentive mechanism to stimulate SUs to cooperate with PUs when they have no traffic. The cooperating SUs are motivated to cooperate with PUs to enhance the security of the PUs by accumulating credits and then consume the earned credits for spectrum trading when they have traffic in the future.

Security-aware Cooperation in Dynamic Spectrum Access

Jian Zhang

Zhaoguang Hu

The book focuses on low-carbon issues and China’s economy, which is analyzed from the perspective of electricity economics. It proposes the novel concept of an “economic gene” to reflect certain characteristics of the economy. The gene mapping of China’s economy has been studied based on production functions with electricity. Economic mutations have also been studied with the aim of diagnosing problems in the economy. Two such mutations have occurred in China since 1978, the most recent being in 2012 and no further mutation is expected until 2025. The book describes the inherent quality of China’s economy from 2012 to 2025, and how mechanism reforms would greatly improve marginal representative factor productivity in this period. The agents response equilibrium (ARE) approach to simulate national economy, based on multi-agent technology is proposed. Another cornerstone of the model is the input-output table. Simulated input-output tables from 2011 to 2025 are provided in the book. This book provides recommendations for policy makers and advisors, and is a valuable resource for researchers in the fields of economics, public policies, low-carbon development, electricity and energy. It also provides insights into China’s economic development.

Ning Zhang

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