• 한국항행학회논문지
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• 제10권1호
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• pp.79-85
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• 2006

무선통신 및 방송 기술의 발달과 함께 주파수 자원의 효율적 활용에 대한 관심이 더욱 높아지고 있다. 또한 향후 유비쿼터스 센서 네트워크, 이동 및 고정 무선통신, 무선방송 등 다양한 무선 응용 기술들이 혼재된 상황은 주파수 자원의 효율적 이용에 대한 요구를 강화할 것으로 예상된다. 본 논문에서는 다양한 무선자원을 능동적으로 인지하여 동적으로 변화하는 사용자의 요구 및 상황에 적합하도록 유휴 무선자원을 지능적으로 활용하는 제반 기술인 Cognitive Radio의 필요성 및 발전 방향과 IEEE 802.22 표준화 진행에 대하여 알아본다.

• Journal of Communications and Networks
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• 제17권4호
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• pp.394-405
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• 2015

This paper considers a wideband cognitive radio network which can simultaneously sense multiple narrowband channels and thus aggregate the detected available channels for transmission and proposes a novel cognitive radio system that exhibits improved sensing throughput and can save power consumption of secondary user (SU) compared to the conventional cognitive radio system studied so far. More specifically, under the proposed cognitive radio system, we study the problem of designing the optimal sensing time and power allocation strategy, in order to maximize the ergodic throughput of the proposed cognitive radio system under two different schemes, namely the wideband sensing-based spectrum sharing scheme and the wideband opportunistic spectrum access scheme. In our analysis, besides the average interference power constraint at primary user, the average transmit power constraint of SU is also considered for the two schemes and then a subgradient algorithm is developed to obtain the optimal sensing time and the corresponding power allocation strategy. Finally, numerical simulations are presented to verify the performance of the two proposed schemes.

• 디지털콘텐츠학회 논문지
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• 제6권3호
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• pp.179-184
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• 2005

무선통신 및 방송 기술의 발달과 함께 주파수 자원의 효율적 활용에 대한 관심이 더욱 높아지고 있다. 또한 향후 유비쿼터스센서 네트워크 이동 및 고정 무선통산 무선방송 등 다양한 무선 응용 기술들이 혼재된 상황은 주파수 자원의 효율적 이용에 대한 요구를 강화할 것으로 예상된다. 본 논문에서는 다양한 무선자원을 능동적으로 인지하여 동적으로 변화하는 사용자의 요구 및 상황에 적합하도록 유휴 무선자원을 지능적으로 활용하는 제반 기술인 Cognitive Radio의 필요성 및 발전 방향과 IEEE 802.22 표준화 진행에 대하여 알아본다.

• Journal of Communications and Networks
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• 제11권2호
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• pp.115-121
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• 2009

In cognitive radio (CR) systems, cognitive users can use the frequency bands when the primary users are not present. Hence, reliable detection of available spectrum is foundation of cognitive radio technology. To ensure unimpaired operation of primary users, cooperative spectrum sensing is needed. To reduce the network overhead of cooperative spectrum sensing, a novel cooperative spectrum sensing algorithm based on credibility is proposed. In particular, the close-form expressions for probability of detection and false-alarm are derived for the novel algorithm, and expression for the average overhead used for cooperation is given. The thresholds design method for the algorithm is also discussed. The conclusion is proved by computer simulations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권6호
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• pp.1379-1397
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• 2013

We consider a system where a licensed radio spectrum is shared by multiple primary users(PUs) and secondary users(SUs). As the spectrum of interest is licensed to primary network, power and channel allocation must be carried out within the cognitive radio network so that no excessive interference is caused to PUs. For this system, we study the joint beamforming and power allocation problem via game theory in this paper. The problem is formulated as a non-cooperative beamforming and power allocation game, subject to the interference constraints of PUs as well as the peak transmission power constraints of SUs. We design a joint beamforming and power allocation algorithm for maximizing the total throughput of SUs, which is implemented by alternating iteration of minimum mean square error based decision feedback beamforming and a best response based iterative power allocation algorithm. Simulation results show that the algorithm has better performance than an existing algorithm and can converge to a locally optimal sum utility.

• Journal of Communications and Networks
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• 제14권1호
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• pp.51-62
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• 2012

The exponential growth in wireless services has resulted in an overly crowded spectrum. The current state of spectrum allocation indicates that most usable frequencies have already been occupied. This makes one pessimistic about the feasibility of integrating emerging wireless services such as large-scale sensor networks into the existing communication infrastructure. Cognitive radio is an emerging dynamic spectrum access technology that can be used for flexibly and efficiently achieving open spectrum sharing. Cognitive radio is an intelligent wireless communication system that is aware of its radio environment and that is capable of adapting its operation to statistical variations of the radio frequency. In ad hoc cognitive radio networks, a common control channel (CCC) is usually used for supporting transmission coordination and spectrum-related information exchange. Determining a CCC in distributed networks is a challenging research issue because the spectrum availability at each ad hoc node is quite different and dynamic due to the interference between and coexistence of primary users. In this paper, we propose a novel CCC selection protocol that is implemented in a distributed way according to the appearance patterns of primary systems and connectivity among nodes. The proposed protocol minimizes the possibility of CCC disruption by primary user activities and maximizes node connectivity when the control channel is set up. It also facilitates adaptive recovery of the control channel when the primary user is detected on that channel.

• 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.

• 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.

• Journal of information and communication convergence engineering
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• 제11권4호
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• pp.223-228
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• 2013

Cognitive radio has been recently considered a promising technology to improve spectrum utilization by enabling secondary access to licensed bands that are not used by primary users temporarily or spatially. A prerequisite to this secondary access is the lack of interference to the primary system. This requirement makes spectrum sensing a key process for cognitive radio. In this study, we consider amplify and forward (AF)-based cooperative spectrum sensing for cognitive radio networks where multiple relay nodes are utilized to amplify and forward the primary user signal for better spectrum sensing, and maximum ratio combining is used for fusion detection by a cognitive coordinator. Further, the detection probability and the bit error rate of AF-based cooperative spectrum sensing are analyzed in fading multiple cognitive relay channels. The simulation results show that the AF-based cooperative spectrum sensing scheme outperforms the conventional scheme.

• 한국항행학회논문지
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• 제23권4호
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• pp.322-327
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• 2019

본 논문에서는 셀룰러 인지 라디오 망에서 주 사용자들 (PU; primary user)의 다중 채널상에서 발생하는 스펙트럼 홀 (spectrum hole)을 그룹핑(grouping)하여, 광대역 인지 사용자 (WCRU; wideband cognitive radio user)의 서비스 품질 (QoS; quality of service)을 향상시킬 수 있는 방법을 제안한다. 제안하는 스펙트럼 홀 그룹핑 방법은 같은 시간에 발생하는 스펙트럼 홀들을 위너예측과정으로 예측하고, 예측된 스펙트럼 홀을 그룹핑하여 광대역 인지 사용자를 지원함으로써 인지 사용자의 서비스 품질을 향상시킨다. 시뮬레이션을 통하여 단일 스펙트럼 홀 채널을 이용한 경우와 비교하여 핸드오프 호의 손실률과 초기 발생 호의 차단률을 줄일 수 있음을 보인다.