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Chuyen Khoa Huynh,이원철 한국통신학회 2013 Journal of communications and networks Vol.15 No.5
In this article, we suggest a two-dimensional geneticalgorithm (GA) method that applies a cognitive radio (CR) decisionengine which determines the optimal transmission parametersfor multicarrier communication systems. Because a CR is capableof sensing the previous environmental communication information,CR decision engine plays the role of optimizing the individualtransmission parameters. In order to obtain the allowable transmissionpower of multicarrier based CR system demands interferenceanalysis a priori, for the sake of efficient optimization, a twodimensionalGAstructure is proposed in this paper which enhancesthe computational complexity. Combined with the fitness objectiveevaluation standard, we focus on two multi-objective optimizationmethods: The conventional GA applied with the multi-objectivefitness approach and the non-dominated sorting GA with Paretooptimalsorting fronts. After comparing the convergence performanceof these algorithms, the transmission power of each subcarrieris proposed as non-interference emission with its optimalvalues in multicarrier based CR system.
Huynh, Chuyen Khoa,Lee, Won Cheol The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.1
Nowadays, smart meter (SM) technology is widely effectively used. In addition, power allocation (PA) and channel selection (CS) are considered problems with many proposed approaches. In this paper, we will suggest a specific scenario for an SM configuration system and show how to solve the optimization problem for transmission between SMs and the data concentrator unit (DCU), the center that collects the data from several SMs, via simulation. An efficient CS with PA scheme is proposed in the TV white space system, which uses the TV band spectrum. On the basic of the optimal configuration requirements, SMs can have a transmission schedule and channel selection to obtain the optimal efficiency of using spectrum resources when transmitting data to the DCU. The optimal goals discussed in this paper are the maximum capacity or maximum channel efficiency and the maximum allowable power of the SMs used to satisfy the quality of service without harm to another wireless system. In addition, minimization of the interference to the digital television system and other SMs is also important and needs to be considered when the solving coexistence scenario. Further, we propose a process that performs an interference analysis scheme by using the spectrum engineering advanced Monte Carlo analysis tool (SEAMCAT), which is an integrated software tool based on a Monte-Carlo simulation method. Briefly, the process is as follows: The optimization process implemented by genetic evolution optimization engines, i.e., a genetic algorithm, will calculate the best configuration for the SM system on the basis of the interference limitation for each SM by SEAMCAT in a specific configuration, which reaches the solution with the best defined optimal goal satisfaction.
Chuyen Khoa Huynh,이원철 한국통신학회 2016 Journal of communications and networks Vol.18 No.1
Nowadays, smart meter (SM) technology is widely effectivelyused. In addition, power allocation (PA) and channel selection(CS) are considered problems with many proposed approaches. In this paper, we will suggest a specific scenario for anSM configuration system and show how to solve the optimizationproblem for transmission between SMs and the data concentratorunit (DCU), the center that collects the data from several SMs,via simulation. An efficient CS with PA scheme is proposed in theTV white space system, which uses the TV band spectrum. On thebasic of the optimal configuration requirements, SMs can have atransmission schedule and channel selection to obtain the optimalefficiency of using spectrum resources when transmitting data tothe DCU. The optimal goals discussed in this paper are the maximumcapacity or maximum channel efficiency and the maximumallowable power of the SMs used to satisfy the quality of servicewithout harm to another wireless system. In addition, minimizationof the interference to the digital television system and otherSMs is also important and needs to be considered when the solvingcoexistence scenario. Further, we propose a process that performsan interference analysis scheme by using the spectrum engineeringadvanced Monte Carlo analysis tool (SEAMCAT), whichis an integrated software tool based on a Monte-Carlo simulationmethod. Briefly, the process is as follows: The optimization processimplemented by genetic evolution optimization engines, i.e., agenetic algorithm, will calculate the best configuration for the SMsystem on the basis of the interference limitation for each SM bySEAMCAT in a specific configuration, which reaches the solutionwith the best defined optimal goal satisfaction.
Huynh, Chuyen Khoa,Lee, Won Cheol The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.5
In this article, we suggest a two-dimensional genetic algorithm (GA) method that applies a cognitive radio (CR) decision engine which determines the optimal transmission parameters for multicarrier communication systems. Because a CR is capable of sensing the previous environmental communication information, CR decision engine plays the role of optimizing the individual transmission parameters. In order to obtain the allowable transmission power of multicarrier based CR system demands interference analysis a priori, for the sake of efficient optimization, a two-dimensionalGA structure is proposed in this paper which enhances the computational complexity. Combined with the fitness objective evaluation standard, we focus on two multi-objective optimization methods: The conventional GA applied with the multi-objective fitness approach and the non-dominated sorting GA with Pareto-optimal sorting fronts. After comparing the convergence performance of these algorithms, the transmission power of each subcarrier is proposed as non-interference emission with its optimal values in multicarrier based CR system.
Chuyen Khoa Huynh,윤덕원,최주평,이원철 한국통신학회 2019 ICT Express Vol.5 No.1
The focus of this paper is the development of a solution regarding the coexistence of the LTE-LAA and Wi-Fi networks in the 5 GHz bandwidth by using an interference analysis and traffic optimization for which channel selection schemes are used. By implementing an analysis tool based on the Monte Carlo method, named “3DMCAT”, a simulation is applied with the LBT protocol in both the time and frequency domains on the frame based equipment of the spatial, time, spectrum domain; this tool is implemented by combining a Microsoft Excel calculation and the corresponding VBA. 3DMCAT shows the results of transmission performance analysis for the coexistence schemes of the Wi-Fi and LTE-LAA systems in the 5 GHz frequency bands.
A modified tone injection scheme for PAPR reduction using genetic algorithm
이원철,최주평,Chuyen Khoa Huynh 한국통신학회 2015 ICT Express Vol.1 No.2
Owing to the capability to provide a wide variety of intelligent behaviors, cognitive radio (CR) has become a promising technology to improve spectrum utilization efficiently. One of the popular techniques which adapt CR concept to multi-carrier systems is known as tone injection scheme. This scheme is a sort of peak-to-average-power ratio (PAPR) reduction methods deployable to multi-carrier systems such as orthogonal frequency division multiplexing (OFDM). However, a conventional tone injection scheme might increase averaged transmit power attributed to expanding the size of constellation on purpose to get optimal PAPR reduction. Based on a weighted-sum genetic algorithm to resolve multi-objective optimization problem (MOOP), the modified tone injection scheme exploits the agility of CR technology to rapidly adapt operating parameters in order to fulfill PAPR reduction as well as mitigation of power increase optimally. The simulation results verify that the proposed scheme is flexible because it could not only control the performance of PAPR reduction, but also alleviate power increase by steering weight values at the expense of relatively low complexity comparing with other conventional method.