• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권12호
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• pp.5943-5962
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• 2017

A resource allocation algorithm based on simultaneous wireless information and power transfer (SWIPT) to maximize the system throughput is proposed in orthogonal frequency division multiplexing (OFDM) relay networks. The algorithm formulates the problem under the peak power constraints of the source and each subcarrier (SC), and the energy causality constraint of the relay. With the given SC allocation of the source, we give and prove the optimal propositions of the formulated problem. Then, the formulated problem could be decomposed into two separate throughput maximization sub-problems by setting the total power to transfer energy. Finally, several SC allocation schemes are proposed, which are energy priority scheme, information priority scheme, balanced allocation scheme and exhaustive scheme. The simulation results reveal that the energy priority scheme can significantly reduce computational complexity and achieve approximate performance with the exhaustive scheme.

• 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.

• 한국통신학회논문지
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• 제29권12A호
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• pp.1291-1297
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• 2004

본 논문에서는 OFDMA 무선 이동 통신시스템에서 시스템의 수율을 최대화 하면서 비실시간 트래픽 사용자들에게 비례적인 공정성을 제공하기에 적합한 새로운 스케줄링 알고리즘을 제안 하였다. 새로이 제안된 알고리즘은 3GPP2에 적용된 비례공정 (Proportional Fairness) 스케줄링과 채널이득 값들에 대한 소팅 (Sorting) 개념을 응용하여 제안하였다. 비례공정 스케줄링은 OFDMA에서 각 사용자들에게 할당될 부반송파 개수를 계산하는데 응용하였으며, 소팅기법은 계산된 부반송파를 실제 사용자들에게 할당하는데 있어 시스템의 수율을 최대화 하는데 기여하였다. 모의실험을 통해 본 논문에 의해 새로이 제안된 알고리즘이 최대전송선택 알고리즘과 소팅을 하지 않은 경우에 비해 공정성 및 시스템 수율에서 특성이 향상됨을 알 수 있었으며, 또한 제안된 소팅 기법은 기존 사용자간 부반송파의 스와핑을 이용한 반복 순환기법과 비교 시 시스템 평균 수율은 거의 같으나 계산에 따른 부하가 최대 3배까지 개선됨을 알 수 있다.

• 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.

• 한국전자파학회논문지
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• 제18권5호
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• pp.465-470
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• 2007

멀티미디어 이동 통신에서 동일 채널 간섭은 시스템의 성능을 저하시키는 중요한 요인이다. 본 논문에서는 이러한 동일 채널 간섭을 억제하고 시스템의 성능을 최대화하기 위하여 주파수 재사용 구간을 사용한다. 먼저 수학적 모델링을 통하여 주파수 재사용 구간을 적용한 시스템에서의 동일 채널 간섭량을 분석한다. 이를 바탕으로 시스템 전송량을 최대화 시킬 수 있는 주파수 재사용 구간을 결정한다. 마지막으로 분석 결과와 모의 실험 결과를 통하여 주파수 재사용 구간을 적용한 시스템이 동일 채널 간섭량을 줄이며 시스템 전송량을 최대화 시킬 수 있음을 보인다. 실험 결과를 통하여 셀의 트레픽 로드에 따라서 재사용 구간이 $0.7{\sim}0.8$의 구간에서 시스템 전송량이 최대화 되며, 셀룰러 시스템 디자인 변수로 이와 같은 결과를 이용하면 시스템 전송량을 최대화 할 수 있다.

• 한국통신학회논문지
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• 제31권3A호
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• pp.254-266
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• 2006

최근에 OFDM 기반 셀룰러 시스템의 Throughput 및 셀 커버리지를 향상시키기 위하여 SDMA(Spatial Division Multiple Access) 방식을 적용하는 자원 할당 방식에 대한 연구가 시작되고 있으나, 대부분의 OFDM/SDMA 기반 자원 할당 방식에 대한 연구는 시스템 Throughput 만을 최적화시키거나 단일 셀 환경에서만 적응이 가능한 한계가 있다. 본 논문에서는 사용자가 요구하는 트래픽 특성에 맞는 High Layer QoS(Quality of Service) 파라미터를 고려하면서, 시스템의 Throughput의 손실을 최소화하고 인접 셀 간 간섭을 고려하여 다중 셀 환경에서도 적용이 가능한 하향 링크 OFDM/SDMA 기반 자원할당 알고리즘을 제안하고, Ped A 및 다중 안테나 채널모델인 SCME (Spatial Channel Model Extensions) 채널에서 제안된 알고리즘 성능을 분석한다.

• 한국통신학회논문지
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• 제31권7A호
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• pp.717-724
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• 2006

본 논문에서는 MIMO-OFDM 시스템에서 물리 계층으로부터의 궤환(Feedback) 정보를 이용하여 MAC 계층에서의 전송 용량 극대화 및 공평성을 제공하는 FATM(Fairness Aware Throughput Maximizing) 스케줄링 방식 기반의 QoS 지원을 위한 우선순위 큐 기반의 스케줄링 기법을 제안한다. 제안된 우선순위 큐 스케줄링 기법은 서 비스 클래스별 지연 요구 조건을 최대한 보장함과 동시에, 강한 버스트 특정을 갖는 서비스 클래스의 성능 저하를 효과적으로 방지할 수 있다. 제안된 스케줄링 기법의 QoS 지원을 위한 큐 스케줄링 기법은 SPQ(Strict Priority Queueing), DCBQ(Delay Constraint Based Queuing), HDCBQ(Hybrid Delay Constraint Based Queuing)로 나누어지고, 세 가지 방식에 대한 모의실험을 통해 성능을 비교 평가하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 춘계학술대회
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• pp.583-585
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• 2016

The recent advances in wireless networks area have led to new techniques, such as small cells or full-duplex (FD) transmission, have also been developed to further increase the network capacity. Particularly, full-duplex communication promises expected throughput gain by doubling the spectrum compared to half-duplex (HD) communication. Because this technique permits one set of frequencies to simultaneously transmit and receive signals. In this paper, we focus on the binary power control for the users and the base stations in full-duplex multiple cellulars wireless networks to obtain optimal sum-rate under the effect interference and noise. We investigate with a scenario in there one carrier is assigned to only one user in each cell and construct a model for this problem. In this work, we apply the binary power control by the its simplification in the implemented algorithm for both uplink and downlink simultaneously to maximize sum data rate of the system. At first, we realize the 2-cells case separately to check the optimal power allocation whether being binary. Then, we carry on with N-cells case in general through properties of binary power control.

• 경영과학
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• 제32권4호
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• pp.69-80
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• 2015

The semiconductor industry is one of those in which the most intricate processes are involved and there are many critical factors that are controlled with precision in those processes. Naturally production scheduling in the semiconductor industry is also very complex and studied by the industry and academia for many years; however, still there are many issues left unclear in the problem. This paper proposes an multi-objective optimization-based scheduling method for semiconductor fabrication(fab). Two main objectives are throughput maximization and meeting target production quantities. The first objective aims to reduce production cost, especially the fixed cost incurred by a large investment constructing a new fab facility. The other is meeting customer orders on time and also helps a fab maintain stable throughput through controlled WIP balancing in the long run. The paper shows a trade-off structure between the two objectives through experimental studies, which provides industrial practitioners with useful references.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.1884-1903
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• 2019

Device-to-Device (D2D) communications can provide proximity based services in the future 5G cellular networks. It allows short range communication in a limited area with the advantages of power saving, high data rate and traffic offloading. However, D2D communications may reuse the licensed channels with cellular communications and potentially result in critical interferences to nearby devices. To control the interference and improve network throughput in overlaid D2D cellular networks, a novel channel assignment approach is proposed in this paper. First, we characterize the performance of devices by using Poisson point process model. Then, we convert the throughput maximization problem into an optimal spectrum allocation problem with signal to interference plus noise ratio constraints and solve it, i.e., assigning appropriate fractions of channels to cellular communications and D2D communications. In order to mitigate the interferences between D2D devices, a cluster-based multi-channel assignment algorithm is proposed. The algorithm first cluster D2D communications into clusters to reduce the problem scale. After that, a multi-channel assignment algorithm is proposed to mitigate critical interferences among nearby devices for each D2D cluster individually. The simulation analysis conforms that the proposed algorithm can greatly increase system throughput.