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Soon Kyu Park

Bio: Soon Kyu Park is an academic researcher from Soongsil University. The author has contributed to research in topics: Communications system & Transmission (telecommunications). The author has an hindex of 2, co-authored 3 publications receiving 20 citations.

Papers
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Proceedings ArticleDOI
01 Aug 2007
TL;DR: A novel optimization algorithm named goal-pareto based non-dominated sorting genetic algorithm (GBNSGA) has a role of playing an optimal reconfiguration of agile cognitive radio system by altering set of modem parameters designated as knobs working in dynamic wireless environment.
Abstract: This paper proposes a novel optimization algorithm named goal-pareto based non-dominated sorting genetic algorithm (GBNSGA). The proposed technique has a role of playing an optimal reconfiguration of agile cognitive radio (CR) system by altering set of modem parameters designated as knobs working in dynamic wireless environment. Recently, various kinds of bio-inspired algorithms either timely or costly efficient have been investigated so as to accomplish a smart way of switching the radio configuration. Towards this, the proposed GBNSGA in this paper performs a hybrid type of optimization process from a functional point of view, namely well-known pareto-based non-dominated sorting genetic algorithm (NSGA) performs with goal programming (GP) cooperatively. To confirm the validity, a realistic scenario covering cdma2000 forward link for the class of conversational audio service delivered in Rician channel is set to be considered. By conducting computer simulations, the figure of merits of the proposed algorithm will be exploited regarding how many sets of not over-maximizing systems are achieved residing in range of prescribed performance goals after an optimization procedure. Among those, the optimal configuration can be achieved in the sense of consuming low transmit power, while obeying required quality of service.

11 citations

Patent
23 Oct 2008
TL;DR: In this article, a multi-coexistence communication system based on an interference-aware environment and a method for operating the same can remove interference detected using an interference temperature limit from at least one transmission signal and transmit the signal to a main/sub communication terminal during data communication on a wired/wireless communication network formed of a main base station, a sub-base station, the main communication terminal, and the sub communication terminal.
Abstract: A multi-coexistence communication technology is provided. A multi-coexistence communication system based on an interference-aware environment and a method for operating the same can remove interference detected using an interference temperature limit from at least one transmission signal and transmit the signal to a main/sub communication terminal during data communication on a wired/wireless communication network formed of a main base station, a sub base station, the main communication terminal, and the sub communication terminal, thereby smoothly providing a high-speed seamless data transmission service based on a multi-coexistence communication environment where a distributed small-scale network requiring a low transmission rate, a medium-scale network for providing various wireless communication services, and a large-scale broadcasting network requiring a high transmission rate and high quality coexist, and preventing congestion due to increased demand for frequency resources.

7 citations

Patent
18 Mar 2010
TL;DR: In this paper, a multi-coexistence communication system based on an interference-aware environment and a driving method is provided to recognize a situation about interference using an interference temperature limit value, thereby transmitting the signal after removing the interference value from a transmission signal.
Abstract: PURPOSE: A multi coexistence communication system based on an interference-aware environment and a driving method thereof are provided to recognize a situation about interference using an interference temperature limit value, thereby transmitting the signal after removing the interference value from a transmission signal. CONSTITUTION: A sub base station(200) generates a sub transmission signal by itself. The sub base station inputs a frequency bandwidth and an interference temperature limiting value. The sub base station determines frequency usage capacity according to the inputted interference temperature limiting value. The sub base station assigns the frequency bandwidth of a sub communication terminal(400) in the determined capacity.

2 citations


Cited by
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Journal ArticleDOI
TL;DR: To help researchers better understand the practical implications of AI to their CR designs, this paper reviews several CR implementations that used the following AI techniques: artificial neural networks (ANNs), metaheuristic algorithms, hidden Markov models (HMMs), rule-based systems, ontology- based systems (OBSs), and case-based system (CBSs).
Abstract: Cognitive radio (CR) is an enabling technology for numerous new capabilities such as dynamic spectrum access, spectrum markets, and self-organizing networks. To realize this diverse set of applications, CR researchers leverage a variety of artificial intelligence (AI) techniques. To help researchers better understand the practical implications of AI to their CR designs, this paper reviews several CR implementations that used the following AI techniques: artificial neural networks (ANNs), metaheuristic algorithms, hidden Markov models (HMMs), rule-based systems, ontology-based systems (OBSs), and case-based systems (CBSs). Factors that influence the choice of AI techniques, such as responsiveness, complexity, security, robustness, and stability, are discussed. To provide readers with a more concrete understanding, these factors are illustrated in an extended discussion of two CR designs.

275 citations

Dissertation
01 Jan 2007
TL;DR: This dissertation provides the theory, design, and implementation of a cognitive engine, the enabling technology of cognitive radio, which provides a general framework to build and test cognitive engine algorithms and components such as sensing technology, optimization routines, and learning algorithms.
Abstract: This dissertation provides the theory, design, and implementation of a cognitive engine, the enabling technology of cognitive radio. A cognitive radio is a wireless communications device capable of sensing the environment and making decisions on how to use the available radio resources to enable communications with a certain quality of service. The cognitive engine, the intelligent system behind the cognitive radio, combines sensing, learning, and optimization algorithms to control and adapt the radio system from the physical layer and up the communication stack. The cognitive engine presented here provides a general framework to build and test cognitive engine algorithms and components such as sensing technology, optimization routines, and learning algorithms. The cognitive engine platform allows easy development of new components and algorithms to enhance the cognitive radio capabilities. It is shown in this dissertation that the platform can easily be used on a simulation system and then moved to a real radio system. The dissertation includes discussions of both theory and implementation of the cognitive engine. The need for and implementation of all of the cognitive components is strongly featured as well as the specific issues related to the development of algorithms for cognitive radio behavior. The discussion of the theory focuses largely on developing the optimization space to intelligently and successfully design waveforms for particular quality of service needs under given environmental conditions. The analysis develops the problem into a multi-objective optimization process to optimize and trade-off of services between objectives that measure performance, such as bit error rate, data rate, and power consumption. The discussion of the multi-objective optimization provides the foundation for the analysis of radio systems in this respect, and through this, methods and considerations for future developments. The theoretical work also investigates the use of learning to enhance the cognitive engine’s capabilities through feed-back, learning, and knowledge representation. The results of this work include the analysis of cognitive radio design and implementation and the functional cognitive engine that is shown to work in both simulation and on-line experiments. Throughout, examples and explanations of building and interfacing cognitive components to the cognitive engine enable the use and extension of the cognitive engine for future work.

107 citations

Journal ArticleDOI
TL;DR: The 5G takes CR flexibility and adaptability and makes the first step through a commercial and tangible form.
Abstract: Both the cognitive radio (CR) and the fifth generation of cellular wireless standards (5G) are considered to be the future technologies: on one hand, CR offers the possibility to significantly increase the spectrum efficiency, by smart secondary users (CR users) using the free licensed users spectrum holes; on the other hand, the 5G implies the whole wireless world interconnection (WISDOM--Wireless Innovative System for Dynamic Operating Megacommunications concept), together with very high data rates Quality of Service (QoS) service applications. In this paper, they are combined together into a "CR based 5G". With this aim, two novel ideas are advanced: the 5G terminal is a CR terminal and the CR technology is chosen for WISDOM concept. Thus, the 5G takes CR flexibility and adaptability and makes the first step through a commercial and tangible form.

106 citations

Book
30 Jun 2009
TL;DR: In this paper, a detailed description of cognitive radio and its individual parts is presented, where the basic processing elements and their capabilities are implemented as modular components and each component can be developed and tested independently, before integration with the rest of the engine.
Abstract: This cutting-edge resource offers practical overview of cognitive radio - a paradigm for wireless communications in which a network or a wireless node changes its transmission or reception parameters. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components. Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine. Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior.

42 citations

Patent
16 Sep 2011
TL;DR: In this paper, a communication control device including a communication unit configured to make communication with one or more secondary communication nodes operating a secondary system using at least one of a frequency channel allocated to a primary system and adjacent to the frequency channel is defined.
Abstract: Provided is a communication control device including a communication unit configured to make communication with one or more secondary communication nodes operating a secondary system using at least one of a frequency channel allocated to a primary system and a frequency channel adjacent to the frequency channel, a determination unit configured to determine an upper limit number of secondary systems or secondary communication nodes to be allocated with transmission power, and a power allocation unit configured to allocate transmission power to each secondary system or each secondary communication node in each secondary system based on the determined upper limit number and the acceptable interference amount of the primary system.

37 citations