• 한국도로학회논문집
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• 제17권5호
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• pp.93-103
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• 2015

PURPOSES : The purpose of this study is to present a linear programing optimization model for the design of lane-based lane-uses and signal timings for an isolated intersection. METHODS: For the optimization model, a set of constraints for lane-uses and signal settings are identified to ensure feasibility and safety of traffic flow. Three types of objective functions are introduced for optimizing lane-uses and signal operation, including 1) flow ratio minimization of a dual-ring signal control system, 2) cycle length minimization, and 3) capacity maximization. RESULTS : The three types of model were evaluated in terms of minimizing delay time. From the experimental results, the flow ratio minimization model proved to be more effective in reducing delay time than cycle length minimization and capacity maximization models and provided reasonable cycle lengths located between those of other two models. CONCLUSIONS : It was concluded that the flow ratio minimization objective function is the proper one to implement for lane-uses and signal settings optimization to reduce delay time for signalized intersections.

• Journal of information and communication convergence engineering
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• 제16권2호
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• pp.72-77
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• 2018

This paper presents a novel channel capacity maximization method for a distorted $2{\times}2$ line-of-sight (LOS) multiple-input multiple-output (MIMO) link. A LOS MIMO link may be distorted by the influence of environmental factors such that the channel capacity of the LOS MIMO link may be degraded. By using the proposed method, the channel capacity of a distorted $2{\times}2$ LOS MIMO link can be the same as that of the ideal $2{\times}2$ LOS MIMO link. The proposed method employs an additional receiver antenna to maximize the channel capacity. In contrast to a $3{\times}2$ LOS MIMO link, a receiver circuit for a third receiving antenna is not necessary. Hence, the receiver for the proposed method is much simpler than that for a $3{\times}2$ LOS MIMO link. We determine the optimal position of the additional receiver antenna analytically. Simulation results show that the channel capacity can approach the ideal using the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권1호
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• pp.193-214
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• 2017

In this paper, we study the problem of network utility maximization in a CSMA based multi-hop wireless network. Existing work in this aspect typically adopted continuous time Markov model for performance modelling, which fails to consider the channel conflict impact in actual CSMA networks. To maximize the utility of a CSMA based wireless network with channel conflict, in this paper, we first model its weighted network capacity (i.e., network capacity weighted by link queue length) and then propose a distributed link scheduling algorithm, called CSMA based Maximal-Weight Scheduling (C-MWS), to maximize the weighted network capacity. We derive the upper and lower bounds of network utility based on C-MWS. The derived bounds can help us to tune the C-MWS parameters for C-MWS to work in a distributed wireless network. Simulation results show that the joint optimization based on C-MWS can achieve near-optimal network utility when appropriate algorithm parameters are chosen and also show that the derived utility upper bound is very tight.

• Journal of Electrical Engineering and Technology
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• 제8권1호
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• pp.40-45
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• 2013

It is known that Reliability Differentiated Pricing (RDP) can improve the efficiency and benefits of consumers and producers. This paper examines the long-run social welfare maximization problem of the utility and presents a long-term reliability differentiated prices for firm capacity, based on customer outage costs. Then the applicability of the proposed pricing scheme is verified with a case study.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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• pp.398-399
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• 2006

The procurement of generation and transmission/Distribution capacity in vertically-integrated electric industry is sufficient by facility construction in suitable time. However, the introduction of competitive electricity market increase the efficiency of availability for facilities and fuels. As a result, long-term capacity procurement is required for stable demand-supply balance since it is expected to maintain their generation capacity at a minimum for profit maximization. In this paper, a new long-term capacity procurement mechanism is proposed, which is able to assure supplemental contribution in competitive electricity market.

• 통합자연과학논문집
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• 제13권2호
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• pp.69-75
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• 2020

Multiple Input Multiple Output (MIMO) is one of the important wireless communication technologies. This paper proposes MIMO system capacity enhancement by using convolution of periodic circulating vector signals. This signal represents statistical dependencies between transmission signal with discrete noise and receiver signal with the linear shifting of MIMO channel capacity by positive extents. We examine the channel capacity, outage probability and SNR of MIMO receiver by adding log determinant signal with validated in terms of numerical simulation.

• 한국통신학회논문지
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• 제34권3B호
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• pp.247-254
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• 2009

본 논문은 다중안테나를 구비한 전송단과 수신단의 활성화된 안테나 개수를 조절하여 통신 시스템의 소비전력을 최소화함으로써 동작시간을 최대화하는 전력절감 MAC 기법에 관한 것이다. 제안기법은 전력절감을 목적으로 다중안테나 시스템의 전송 방식인 멀티플렉싱 기법과 다이버시티 기법을 채널 상황에 따라 선택한다. 이러한 다중안테나 전력절감을 위한 MAC 기법은 무선단말에서 소모하는 전력을 고려한다. 이때 전송전력 뿐 아니라 활성화된 안테나 개수와 비례하는 회로 소모 에너지를 고려하기 때문에 성능분석 결과, 기존의 용량증대 접근 방법과는 다른 다중안테나 방안을 선택한다. 따라서 제안하는 다중안테나 전력절감 방식은 무선단말의 소비에너지 면에서 성능 향상을 보인다.

• 한국정보통신학회논문지
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• 제18권11호
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• pp.2613-2620
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• 2014

본 논문에서는 전이중(full duplexing) 모드로 동작하는 기지국과 시분할 이중(TDD: Time Division Duplexing) 모 드로 동작하는 사용자들이 통신하는 전이중 무선 셀룰라 네트워크를 고려한다. 전이중 모드 사용시 상향링크 사용자 는 하향링크 사용자에게 간섭을 유발하므로 시스템 성능을 극대화하기 위해서는 같은 무선 자원을 동시에 사용하는 상 하향링크 사용자 쌍을 어떻게 결정하는 지가 매우 중요하다. 본 논문은 셀 용량을 최대화하기 위한 최적화 문제 를 제시하고 낮은 복잡도를 갖는 차선의 사용자 스케쥴링 알고리즘을 제안한다. 제안하는 스케쥴링 방식은 더 좋은 신호 품질을 갖는 하향링크 사용자가 자신에게 간섭을 덜 미치게 하는 상향링크 사용자를 먼저 선택할 수 있도록 우 선권을 갖는 방식으로 동작한다. 시뮬레이션 결과 제안 사용자 스케쥴링 방식을 사용하는 전이중 시스템은 최적 성 능을 달성하면서 기존 TDD 시스템의 셀 용량을 현저히 개선한다.

• 한국통신학회논문지
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• 제32권10A호
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• pp.1023-1033
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• 2007

This study considers a joint congestion control, routing and power control for energy-constrained wireless networks. A mathematical model is introduced which includes maximization of network utility, maximization of network lifetime, and trade-off between network utility and network lifetime. The framework would maximize the overall throughput of the network where the overall throughput depends on the data flow rates which in turn is dependent on the link capacities. The link capacity on the other hand is a function of transmit power levels and link Signal-to-Interference-plus-Noise-Ratio (SINR) which makes the power allocation problem inherently difficult to solve. Using dual decomposition techniques, subgradient method, and logarithmic transformations, a joint algorithm for rate and power allocation problems was formulated. Numerical examples for each optimization problem were also provided.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.812-813
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• 2007

The procurement of generation and transmission/Distribution capacity in vertically-integrated electric industry is sufficient by facility construction in suitable time. However, the introduction of competitive electricity market increase the efficiency of availability for facilities and fuels. As a result, long-term capacity procurement is required for stable demand-supply balance since it is expected to maintain their generation capacity at a minimum for profit maximization. In this paper, a new long-term capacity procurement mechanism is constructed, which is able to assure supplemental contribution in competitive electricity market.