• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.441-443
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• 2008

본 논문은 신재생에너지 보급 화대를 위한 정책수단으로 활용되고 있는 신재생에너지 의무할당제(RPS; Renewable Portfolio Standards)의 시행현황과 제도 동향을 미국 사례 중심으로 분석하였다. 신재생에너지 의무할당제의 전반적인 시행 사례 분석을 통하여 국내에 RPS 도입 시 고려할 다양한 제반사항을 식별하고 활용할 수 있는 기회를 제공하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.506-512
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• 2016

Recently, energy harvesting technology is considered as a tool to improve the lifetime of sensor networks by mitigating the battery capacity limitation problem. However, the previous work on energy harvesting has failed to provide practical information since it has assumed an ideal channel knowledge model with perfect channel state information at transmitter (CSIT). This paper proposes an energy efficient resource allocation scheme that takes account of the channel estimation process and the corresponding estimation error. Based on the optimization tools, we provide information on efficient scheduling and power allocation as the functions of channel estimation accuracy, harvested energy, and data rate. The simulation results confirm that the proposed scheme outperforms the conventional energy harvesting networks without considering channel estimation error in terms of energy efficiency. Furthermore, with taking account of channel estimation error, the results provides a new way for allocating resources and scheduling devices.

• Environmental and Resource Economics Review
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• v.19 no.4
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• pp.805-828
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• 2010

Korea also plans to introduce Renewable Portfolio Standard (RPS) for strengthening market functions after 2012 as United States and several members of EU countries did. Through the introduction of RPS, it requires energy industry to supply new and renewable energy at fixed rate. Therefore, it will contribute to the distribution of new and renewable energy. This paper analyzed the economic effect of the introduction of RPS using CGE. The summary of the paper on the analysis of the economic effect based on endogenous growth theory under imperfect market competition by using CGE is as follows; Since RPS possibly regulates the amount of new and renewable energy, it can achieve the target amount of new and renewable energy without fail. As achieving the target amount accurately, the distribution of more advanced skills can be expected. However, GDP reduction can occur because investment cost increases due to the requirement of new and renewable energy supply. Therefore, in the long run, it is appropriate to introduce RPS because it contributes to the distribution of new and renewable energy and can be utilized as a new growth engine to encourage economic growth.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.1
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• pp.17-22
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• 2016

In relay networks, relay nodes amplify or demodulate/remodulate the received signal from the transmitter, and transmit that signal to the receiver. The received signals from several relays are combined and used for demodulation at the receiver, which enhances the performance of the overall system. Partially differential modulation scheme which uses coherent modulation at the relay and non-coherent modulation scheme at the receiver is adopted for modulation scheme. We analyze the performance of systems depending on various energy allocations of source and relays given the total energy in relay networks.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.655-660
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• 2024

Relay has been applied various communication environments due to its advantages of performance enhancement in communication systems. In this paper, we analyze the performance of a dual-hop communication system which uses one relay by considering asymmetric communication scenarios. The performance is based on bit error rate. Firstly, we compare the overall performance of dual-hop communication system under symmetric and asymmetric, and then analyze the performance depending on the resource allocation. Energy allocation and relay location are considered in the resource allocation. The performance of overall system for each energy allocation and relay location is analyzed. In addition, we analyze the performance of communication system when both energy and relay location are considered simultaneously. Based on the analyzed performance, we discuss the effect of resource allocation for symmetric and asymmetric environments.

• Journal of Technology Innovation
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• v.28 no.2
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• pp.1-36
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• 2020

While the policy intervention of each country for the promotion of renewable energy is strengthened, Korea introduced Feed-in Tariff (FIT) in 2002 to directly support the development of renewable energy. But in 2012, the shift of policy instrument that from FIT to Renewable Portfolio Standard (RPS) is occurred. This is a unique background that is currently found only in Korea, and new answers that focus on the outcomes of the shift of policy instruments are needed in addition to the existing discussion of comparison of FIT and RPS. Therefore, this study analyzed the change of policy efficiency after the shift to RPS using Data Envelopment Analysis(DEA) and Malmquist Index. In the result of analysis, a difference in the improvement of policy efficiency after in shift to RPS is found among each renewable energy source. This result is because renewable energy companies voluntarily entered the market only for energy sources that have secured technology or price competitiveness, and this indicates that the performance of renewable energy after the RPS shift has been concentrated on specific energy sources. As a result of this study, considering that the goal of renewable energy policy is to expand distribution and to drive growth engines, multi-faceted analysis is required in consideration of technology and market in selecting policy instruments.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.407-412
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• 2007

본 논문에서는 IEEE 802.16 OFDMA 시스템에서 단말들의 에너지 절약을 위한 효율적인 상향 링크 자원 할당 알고리즘을 제시한다. 기지국은 각각의 단말들이 상향링크로 데이터를 전송할 수 있도록 상향링크 부프레임에 연속적인 형태의 자원을 할당해 줘야 한다. 이렇게 각 단말들의 에너지 소비를 고려하여 효율적으로 자원을 할당하는 방식은 최적화 문제의 형태로 접근할 수 있다. 본 논문에서는 전체 에너지소비가 최소가 되는 자원 할당 문제를 Multiple Choice Knapsack 문제로 정의하고, 이를 효율적으로 풀 수 있는 준최적화 알고리즘을 제시한다. 준최적화 알고리즘은 전체 에너지 소비가 최소가 되는 각 단말들의 최적의 변조로 부호화 기법을 찾는다. 그리고 성능평가를 통해 준최적화 알고리즘이 채널 상태만을 고려하여 변조로 부호화 레벨을 결정하는 기법에 비해 최대 53%의 성능 이득을 보이는 것을 제시한다.

• Annual Conference of KIPS
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• 2013.11a
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• pp.284-286
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• 2013

멀티채널 무선센서네트워크에서 기존의 채널할당 방법들은 각 노드마다 다른 채널을 할당하는 방법을 채택하여 연구하였다. 이러한 경우 노드 간 전송 시에 채널을 수신 노드의 채널로 변경하고 다시 자신의 수신 채널로 변경이 필요하다. 채널 변경에는 에너지를 소모하기 때문에 이를 줄인다면 전송에 좀더 많은 에너지를 사용할 수 있다. 따라서 본 논문에서는 하위 노드의 수를 이용하여 이를 기반으로 채널할당을 하고 성능평가를 통해 에너지소모량을 측정한다. 측정결과 기존 기법에 비해 약 12%의 성능 향상을 보였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.7
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• pp.571-579
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• 2013

This paper proposes an energy-efficient mode selection and power allocation scheme in device-to-device (D2D) communication system as an underlay coexistence with cellular networks. We analyze the energy efficiency which is defined as the summation of the energy efficiencies for all devices. The proposed scheme consists of two steps. First, we calculate the transmission power maximizing the energy efficiency for all possible modes of each device. Although the proposed power cannot maximize the system capacity, we prove that the proposed transmission power is the optimal power which maximizes the energy efficiency. In the second step, we select a mode which has the maximal energy efficiency among all possible mode combinations of the devices. Then we can jointly obtain the transmission power and the mode which can maximize the energy efficiency. The proposed scheme has the optimal performance with respect to the energy efficiency and outperforms the conventional schemes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1255-1261
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• 2016

Recently, the energy harvesting technology in which energy is collected from the wireless signal which is transmitted by mobile communication devices, has been considered as a novel way to improve the life time of wireless sensors by mitigating the lack of power supply problem. In this paper, we consider the optimal sensing time and power allocation problem for cognitive radio systems, where the energy efficiency of secondary user is maximized while the constraint are satisfied, using the optimization technique. Based on the derived optimal solutions, we also have proposed an iterative resource allocation algorithm in which the optimal power and sensing time allocation can be found without excessive computations. The simulation results confirm that the proposed scheme achieves the optimal performance and it outperforms the conventional resource allocation schemes in terms of energy efficiency while the constraints are guaranteed to be satisfied.