• 한국통신학회논문지
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• 제37B권11호
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• pp.1050-1057
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• 2012

Super Wi-Fi는 TV white space 대역을 이용하여 Wi-Fi 네트워크를 구성하는 무선 인터넷 서비스 기술이다. 하지만, TV white space 대역 이용자는 기존 ISM 대역에서와 달리 incumbent user가 활성화될 때마다 Super Wi-Fi로 사용 중인 채널을 양보해야 하므로 Wi-Fi 서비스의 연속성을 보장하기 어렵다. 본 논문에서는 Super Wi-Fi 서비스 영역에서 AP (access point)가 운용채널을 비워 주어야 할 때 다른 이용 가능한 TV 채널을 AP의 운용채널로 선택하고 이 결과를 MS (mobile station)에게 제공함으로써 Wi-Fi의 서비스의 연속성이 보장될 수 있는 방법을 제시하였다. 즉, AP의 운용채널에 incumbent user가 나타나면 즉시 운용채널을 비우지 않고 incumbent user에 간섭을 주지 않는 subcarrier들의 그룹인 active subchannel을 이용하여 MS에게 AP 자신이 운용할 다른 채널의 정보를 제공한다. 이 채널정보를 공유한 MS는 AP의 운용할 다른 채널로 빠른 채널 핸드오버를 할 수 있으므로 Super Wi-Fi 서비스 연속성 보장성능이 향상될 수 있다. 제시한 채널 핸드오버 방법을 기존 Wi-Fi 방법과 비교하여 핸드오버 지연시간이 개선됨을 확인하였다.

• Journal of Communications and Networks
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• 제18권1호
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• pp.50-64
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• 2016

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.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.55-68
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• 2023

In recent years, the Television White Space (TVWS) has attracted the interest of many researchers due to its propagation characteristics obtainable between 470MHz and 790MHz spectrum bands. The plenty of unused channels in the TV spectrum allows the secondary users (SUs) to use the channels for broadband services especially in rural areas. However, when the number of SUs increases in the TVWS wireless network the aggregate interference also increases. Aggregate interferences are the combined harmful interferences that can include both co-channel and adjacent interferences. The aggregate interference on the side of Primary Users (PUs) has been extensively scrutinized. Therefore, resource allocation (power and spectrum) is crucial when designing the TVWS network to avoid interferences from Secondary Users (SUs) to PUs and among SUs themselves. This paper proposes a model to improve the resource allocation for reducing the aggregate interface among SUs for broadband services in rural areas. The proposed model uses joint power and spectrum hybrid Firefly algorithm (FA), Genetic algorithm (GA), and Particle Swarm Optimization algorithm (PSO) which is considered the Co-channel interference (CCI) and Adjacent Channel Interference (ACI). The algorithm is integrated with the admission control algorithm so that; there is a possibility to remove some of the SUs in the TVWS network whenever the SINR threshold for SUs and PU are not met. We considered the infeasible system whereby all SUs and PU may not be supported simultaneously. Therefore, we proposed a joint spectrum and power allocation with an admission control algorithm whose better complexity and performance than the ones which have been proposed in the existing algorithms in the literature. The performance of the proposed algorithm is compared using the metrics such as sum throughput, PU SINR, algorithm running time and SU SINR less than threshold and the results show that the PSOFAGA with ELGR admission control algorithm has best performance compared to GA, PSO, FA, and FAGAPSO algorithms.