• 한국위성정보통신학회논문지
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• 제4권2호
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• pp.5-11
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• 2009

본 논문에서는 무선 인지 시스템 사용자의 전송 품질을 향상시킬 수 있는 위성을 이용한 무선 인지 시스템의 무선 자원 할당 방법을 제안한다. 무선 인지 시스템은 주파수 사용의 효율성을 높이기 위해 제안된 시스템이다. 무선 인지 시스템은 주사용자의 성능에 영향을 미치지 않도록 동작하여야 하기 때문에 무선 인지 시스템 사용자의 상황에 따라서 전송 품질을 보장할 수 없는 경우가 생긴다. 특히, 무선 인지 시스템의 사용자가 늘어날수록 주사용자에게 미치는 간섭 외에도 무선 인지 사용자간의 간섭 또한 증가하기 때문에 시스템 성능이 저하 될 수 있다. 이런 문제를 해결하기 위해 무선 인지 시스템과 위성을 이용한 적응적인 자원 할당 기법을 제안한다. 이 방법을 통해 무선 인지 시스템의 성능을 향상 시킬 수 있다.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.13-26
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• 2023

Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

• Journal of Preventive Medicine and Public Health
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• 제56권1호
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• pp.31-40
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• 2023

Objectives: This study investigated the effect of cognitive impairment on the association between social network properties and mortality among older Korean adults. Methods: This study used data from the Korean Social Life, Health, and Aging Project. It obtained 814 older adults' complete network maps across an entire village in 2011-2012. Participants' deaths until December 31, 2020 were confirmed by cause-of-death statistics. A Cox proportional hazards model was used to assess the risks of poor social network properties (low degree centrality, perceived loneliness, social non-participation, group-level segregation, and lack of support) on mortality according to cognitive impairment. Results: In total, 675 participants (5510.4 person-years) were analyzed, excluding those with missing data and those whose deaths could not be verified. Along with cognitive impairment, all social network properties except loneliness were independently associated with mortality. When stratified by cognitive function, some variables indicating poor social relations had higher risks among older adults with cognitive impairment, with adjusted hazard ratios (HRs) of 2.12 (95% confidence interval [CI], 1.34 to 3.35) for social nonparticipation, 1.58 (95% CI, 0.94 to 2.65) for group-level segregation, and 3.44 (95% CI, 1.55 to 7.60) for lack of support. On the contrary, these effects were not observed among those with normal cognition, with adjusted HRs of 0.73 (95% CI, 0.31 to 1.71), 0.96 (95% CI, 0.42 to 2.21), and 0.95 (95% CI, 0.23 to 3.96), respectively. Conclusions: The effect of social network properties was more critical among the elderly with cognitive impairment. Older adults with poor cognitive function are particularly encouraged to participate in social activities to reduce the risk of mortality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2128-2147
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• 2021

Cognitive radio systems are being implemented recently to tackle spectrum underutilization problems and aid efficient data traffic. Spectrum sensing is the crucial step in cognitive applications in which cognitive user detects the presence of primary user (PU) in a particular channel thereby switching to another channel for continuous transmission. In cognitive radio systems, the capacity to precisely identify the primary user's signal is essential to secondary user so as to use idle licensed spectrum. Based on the inherent capability, a new spectrum sensing technique is proposed in this paper to identify all types of primary user signals in a cognitive radio condition. Hence, a spectrum sensing algorithm using improved convolutional neural network and long short-term memory (CNN-LSTM) is presented. The principle used in our approach is simulated annealing that discovers reasonable number of neurons for each layer of a completely associated deep neural network to tackle the streamlining issue. The probability of detection is considered as the determining parameter to find the efficiency of the proposed algorithm. Experiments are carried under different signal to noise ratio to indicate better performance of the proposed algorithm. The PU signal will have an associated modulation format and hence identifying the presence of a modulation format itself establishes the presence of PU signal.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권12호
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• pp.3003-3017
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• 2013

In this paper, we investigate the outage performance of a cognitive relay network. We consider mutual interference in an independent, non-identically distributed Nakagmai-m fading environment. We first derive the close-form outage probability expression, which provides an efficient means to evaluate the effects of several parameters. This allows us to study the impact of several parameters on the network's performance. We then derive the asymptotic expression and reveal that the diversity order is strictly determined by the fading severity of the cognitive system. It is not affected by the primary network. Moreover, the primary network only affects the coding gain of the cognitive system. Finally, Monte Carlo simulations are provided, which corroborate the analytical results.

• 한국인터넷방송통신학회논문지
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• 제15권2호
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• pp.45-49
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• 2015

본 논문에서는 인지 통신의 스펙트럼 감지 기법에 에너지 하베스팅 기법을 적용하여 2차 송신단의 전력 소모 없이 스펙트럼을 감지할 수 있을 뿐만 아니라 전력을 저장할 수 있는 방안을 제안하였다. 감지 및 수집 알고리즘은 에너지 하베스팅 기법으로 수집되는 전력량을 임계값과 비교하여 1차 네트워크의 스펙트럼 사용 유무를 판단하며 2차 송신단이 메시지를 전송하려는 경우, 1차 네트워크가 사용 중이라면 주파수를 변경하여 스펙트럼의 사용 유무를 판단하게 된다. 또한 전송하려는 메시지를 가지지 않는 경우, 지속적으로 전력을 수집하게 된다. 따라서 에너지 하베스팅 기법을 스펙트럼 감지 기법에 적용할 경우, 2차 네트워크의 전력이 낭비되는 문제점을 제거하고 전력을 충전하게 되므로 인지 네트워크의 활용도 및 효율성을 증가시킬 수 있다.

• 정보과학회 논문지
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• 제42권1호
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• pp.130-137
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• 2015

에너지 소비율 및 이에 따른 환경문제가 증가됨에 따라 저탄소 친환경을 고려한 통신기법들의 필요성이 대두되고 있다. 네트워크 코딩 기술은 불필요한 데이터 전송, 및 횟수를 줄여주고 데이터 전송패턴을 예측하는데 도움을 줄 수 있기 때문에 에너지 효율적인 통신기법의 기본을 제공해줄 수 있다. 특히 자아 및 주변을 인지하고 최적의 결정을 내릴 수 있도록 해주는 인지 라디오 네트워크와 맞물려서 활용된다면 시너지 효과를 극대화할 수 있다. 본 논문에서는 네트워크 코딩이 가능한 무선환경에서 주파수 및 에너지 소비율을 인지하여 최적의 성능을 낼 수 있는 기법을 제안하고 부분관찰 마코브결정과정(POMDP)으로 모델링한다. 성능평가를 통해 같은 에너지 양을 소비했을 때 제안하는 기법이 기존 연구들에 비해서 최대 25% 성능향상이 있음을 증명했다.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.168-174
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• 2021

The Cognitive radio (CR) is evolving technology for managing the spectrum bandwidth in wireless network. The security plays a vital role in wireless network where the secondary users are trying to access the primary user's bandwidth. During the allocation the any malicious user either he pretends to be primary user or secondary user to access the vital information's such as credentials, hacking the key, network jam, user overlapping etc. This research paper discusses on various types of attack and to prevent the attack in cognitive radio network. In this research, secondary users are identified by the primary user to access the primary network by the secondary users. The secondary users are given authorization to access the primary network. If any secondary user fails to provide the authorization, then that user will be treated as the malicious user. In this paper two approaches are suggested one by applying elliptic curve cryptography and the other method by using priority-based service access.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 춘계학술발표대회
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• pp.206-209
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• 2014

Control message exchange is major job for cognitive radio to exist and use spectrum opportunistically. For this control message exchange they need a common control channel (CCC). Once this channel is affected by a primary user, communication stops until new CCC is setup. This takes substantial time and if they could not get free channel, this halt continues for long time. To prevent such cease of communication, we propose a combination of two networks, namely WLAN and UWB, to let the communication continue. In our proposed idea if the CCC of a certain CR in WLAN is affected, the CR changes its network from WLAN to UWB and keeps the communication because UWB cannot be affected by PU. In the proposed idea every cognitive radio has two transceivers; one for the overlay network (WLAN) and another UWB network. If a primary user is detected in the spectrum of a cognitive radio, it continues exchanging control messages under the UWB network and in parallel negotiates for a new CCC using the WLAN network. This idea solves the communication interruption until new CCC is setup.

• Journal of information and communication convergence engineering
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• 제13권4호
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• pp.221-227
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• 2015

Spectrum sensing plays an essential role in a cognitive radio network, which enables opportunistic access to an underutilized licensed spectrum. In conventional cooperative spectrum sensing (CSS), all cognitive users (CUs) in the network spend the same amount of time on spectrum sensing and waste time in remaining silent when other CUs report their sensing results to the fusion center. This problem is solved by the superposition cooperative spectrum sensing (SPCSS) scheme, where the sensing time of a CU is extended to the reporting time of the other CUs. Subsequently, SPCSS assigns the CUs different sensing times and thus affects both the sensing performance and the throughput of the system. In this paper, we propose an algorithm to determine the optimal sensing time of each CU for SPCSS that maximizes the achieved system throughput. The simulation results prove that the proposed scheme can significantly improve the throughput of the cognitive radio network compared with the conventional CSS.