• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.11A
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• pp.1146-1153
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• 2007

In this paper, we analyze the I/Q imbalances effects at the WiBro uplimk when using direct-conversion RF transceiver. If I/Q imbalance exists, the transmit signal is spread over two sbcarriers. As a result, phenomenon of performance reducing is produced. Contrary to OFDM system in which one user uses all subcarrier, symmetrical two subcarriers are assigned other users in OFDMA system. I/Q imbalances elements can't be estimated such a conventional allocation method of tiles in subchannel and compensated. In order to solve the problem, We propose a new method in order that symmetrical two subcarriers are assigned one user. If novel method is applied, we can estimate I/Q imbalances and compensate distortion received signal. As a result, we can obtain a performance similar performance when I/Q imbalances is not existed. Also, if proper detection methods are used, we get the effect of performance improvement, because of diversity gain what is happened due to combining I/Q imbalances with multi path fading channel.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.6
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• pp.440-448
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• 2022

Recently, due to the introduction of distributed energy resources, the optimal resource allocation problem of the power network is more and more important, and the distributed resource allocation method is required to process huge amount of data in large-scale power networks. In the optimal resource allocation problem, many studies have been conducted on the case when the supply-demand balance is satisfied due to the limitation of the generation capacity of each generator, but the studies considering the supply-demand imbalance, that total demand exceeds the maximum generation capacity, have rarely been considered. In this paper, we propose the consensus-based distributed algorithm for the optimal resource allocation of power network considering the supply-demand imbalance condition as well as the supply-demand balance condition. The proposed distributed algorithm is designed to allocate the optimal resources when the supply-demand balance condition is satisfied, and to measure the amount of required resources when the supply-demand is imbalanced. Finally, we conduct the simulations to verify the performance of the proposed algorithm.

• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.139-147
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• 2012

This paper suggests simple search algorithm for optimal solution in assignment problem. Generally, the optimal solution of assignment problem can be obtained by Hungarian algorithm. The proposed algorithm reduces the 4 steps of Hungarian algorithm to 1 step, and only selects the minimum cost of row and column then gets the optimal solution simply. For the 27 balanced and 7 unbalanced assignment problems, this algorithm finds the optimal solution but the genetic algorithm fails to find this values. This algorithm improves the time complexity O($n^3$) of Hungarian algorithm to O(n). Therefore, the proposed algorithm can be general algorithm for assignment problem replace Hungarian algorithm.

• 대학교육
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• s.85
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• pp.56-63
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• 1997

세상은 사람이 만든다. 지역의 발전도 지역의 인재가 이룩한다. 그러므로 지역의 유능한 인재가 서울로 유출되면, 그 지역의 발전을 기대하기 어렵다. 그런데 지금과 같은 현실을 그대로 방임하면, 악순환 구조로 인해 지역의 인재는 지속적으로 유츌될 뿐이다. 이러한 극심한 불균형을 해소하기 위한 한 방법으로 인재충원에서 지역할당제를 실시할 것을 주장한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.141-151
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• 2012

This paper suggests more simple algorithm than Hungarian algorithm for assignment problem. Hungarian algorithm selects minimum cost of row and column, and subtracts minimum cost from each cost. Then, performs until the number of minimum lines with 0 equals the number of rows. But, the proposed algorithm selects the minimum cost for each rows only. From the start point with over 2 to the target point with null selects in column, fixes the maximum opportunity cost that the difference of the cost of starting point and target point, and moves the cost less than opportunity cost th more than previous cost. For the 25 balance and 7 unbalance assignment problems, This algorithm gets the optimal solution same as Hungarian algorithm. This algorithm improves the time complexity $O(n^3)$ of Hungarian algorithm to $O(n^2)$, and do not performs the transformation process from unbalance to balance assignment in Hungarian algorithm. Therefore, this algorithm can be alter Hungarian algorithm in assignment problem.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2000.11a
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• pp.59-62
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• 2000

현재 CDMA 시스템에서 통화채널의 주파수 할당 방식에 Hashing 알고리즘이 사용되며, Hashing알고리즘에 의해 FA(frequency assignment)간 부하 균형을 유지하고 있다. Hashing 알고리즘은 모든 가입자 번호를 각 FA에 균일하게 할당하지만, 개별 기지국의 가입자 분포는 각 FA별로 반드시 균일하게 분포되지는 않는다. 이런 FA간 가입자 분포의 불균형은 해당 기지국의 과부하로 인식되어 조기 FA 증설이 요구되며, 해당 과부하 FA의 통화품질 열화를 일으킨다. 따라서 부하 균형에 따라 통화채널의 FA할당을 조절하기 위한 Hashing 후 강제 할당 방식인 OFD(optional forced distributio)을 제안하고 이를 CDMA 시스템에 적용하여 부하 균형의 개선 효과를 얻었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.163-171
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• 2013

This paper proposes an algorithm that seeks the optimal solution for an assignment problem through a simplified process. Generally it is Hungarian algorithm that is prevalently used to solve a given assignment problem. The proposed algorithm reduces 4 steps Hungarian algorithm into 2 steps. Firstly, the algorithm selects the minimum cost from a matrix and deletes the rest of the rows and columns. Secondly, it improves on the solution through reassignment process. For 27 balanced assignment problems and 7 unbalanced problems, the proposed algorithm has successfully yielded the optimal solution, which Genetic algorithm has failed. This algorithm is thus found to be an appropriate replacement of Hungarian algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.211-220
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• 2013

This paper proposes an algorithm that easily finds an optimal solution for linear bottleneck assignment problems. It is either threshold or augmenting path algorithm that is generally used to solve the bottleneck assignment problem. This paper proposes a reverse-delete algorithm that follows 2 steps. Firstly, the algorithm deletes the maximum cost in a given matrix until it renders a single row or column. Next, the algorithm improves any solution that contains a cost exceeding the threshold value $c^*_{ij}$. Upon its application to 28 balanced assignment problems and 7 unbalanced problems, the algorithm is found to be both successful and simple.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.10A
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• pp.1645-1652
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• 2001

제3세대 이동 통신 시스템에서 상향 링크와 하향 링크 사이에 불균형적인 타임 슬롯 할당이 가능한 TD/CDMA TDD 시스템은 비대칭적인 트래픽을 효과적으로 분배하는데 적합하다. 게다가 TD/CDMA TDD 시스템은 슬롯이 시간 영역과 코드 영역에서 정의되기 때문에 유효 자원의 statistical multiplexing이 매우 효과적이다. 그러나 상향 링크와 하향 링크사이의 트래픽의 비대칭성을 반영하기 위해서 타임 슬롯을 최적으로 할당시킬 수 있는 동적 경계선이 요구된다. 본 논문에서 슬롯의 하향 링크부분이 이동국의 접근 시도의 정도에 따라 최대화되는 새로운 최적의 TDD 경계선 제어 움직임 알고리즘을 제안하였다. 제안된 알고리즘에서 이동국의 평균 접근 시도가 미리 정의된 상한 임계치를 초과할 경우, TDD 경계선은 평균 접근 시도가 다른 하한 임계치 아래로 내려갈 때까지 프레임의 중앙에 위치한다. 본 논문에서 모의실험 결과를 통하여 제안된 알고리즘이 기존의 TDD 경계선 알고리즘보다 데이터 트래픽의 평균 접근 지연과 음성 트래픽의 블록킹 확률 측면에서 훨씬 더 좋은 성능을 나타냄을 입증하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.7
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• pp.1457-1467
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• 2015

Depending on the type of Tx-Rx pairs, VHF Data Exchange System (VDES) for maritime communication is expected to employ the different frequency channels. Load imbalance between the different channels turns out to be a critical problem for the multi-hop communication using Ad-hoc Self-Organizing TDMA (ASO-TDMA) MAC protocol, which has been proposed to provide the connectivity between land station and remote ship stations. In order to handle the inter-channel load imbalance problem, we consider a model of the stochastic geomety in this paper. After analyzing the spatial reuse efficiency in each hop region by the given model, we show that the resource utility can be maximized by balancing the inter-channel traffic load with optimal resource allocation in each hop region.