• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제14권5호
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• pp.502-506
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• 2008

최근에 제안된 강화 학습 기법인 "potential-based" reinforcement learning(RL) 기법은 다수 학습들과 expert advice들을 감독 지식으로 강화 학습 알고리즘에 융합하는 것을 가능하게 했고 그 효용성은 최적 정책으로의 이론적 수렴성 보장으로 증명되었다. 본 논문에서는 potential-based RL 기법을 셀룰러 네트워크에서의 채널 할당 문제에 적용한다. Potential-based RL 기반의 동적 채널 할당 기법이 기존의 fixed channel assignment, Maxavail, Q-learning-based dynamic channel assignment 채널 할당 기법들보다 효율적으로 채널을 할당한다. 또한, potential-based RL 기법이 기존의 강화 학습 알고리즘인 Q-learning, SARSA(0)에 비하여 최적 정책에 더 빠르게 수렴함을 실험적으로 보인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권4호
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• pp.1535-1554
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• 2016

This paper proposes a novel channel assignment scheme called multi-cluster based dynamic channel assignment (MC-DCA) to improve system performance for the downlink of dense femtocell networks (DFNs) based on orthogonal frequency division multiple access (OFDMA) and frequency division duplexing (FDD). In order to dynamically assign channels for femtocell access points (FAPs), the MC-DCA scheme uses a heuristic method that consists of two steps: one is a multiple cluster assignment step to group FAPs using graph coloring algorithm with some extensions, while the other is a dynamic subchannel assignment step to allocate subchannels for maximizing the system capacity. Through simulations, we first find optimum parameters of the multiple FAP clustering to maximize the system capacity and then evaluate system performance in terms of the mean FAP capacity, unsatisfied femtocell user equipment (FUE) probability, and mean FAP power consumption for data transmission based on a given FUE traffic load. As a result, the MC-DCA scheme outperforms other schemes in two different DFN environments for commercial and office buildings.

• Journal of Communications and Networks
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• 제8권1호
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• pp.13-20
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• 2006

In cellular mobile communications, how to achieve optimum system capacity with limited frequency spectrum is one of the main research issues. Many dynamic channel assignment (DCA) schemes have been proposed and studied to allocate the channels more efficiently, thus, the capacity of cellular systems is improved. Reuse partitioning (RP) is another technique to achieve higher capacity by reducing the overall reuse distance. In this paper, we present a network-based DCA scheme with the implementation of RP technique, namely dynamic reuse partitioning with interference information (DRP-WI). The scheme aims to minimize the effect of assigned channels on the availability of channels for use in the interfering cells and to reduce their overall reuse distances. The performance of DRP-WI is measured in terms of blocking probability and system capacity. Simulation results have confirmed the effectiveness of DRP-WI scheme. Under both uniform and non-uniform traffic distributions, DRP-WI exhibits outstanding performance in improving the system capacity. It can provide about 100% capacity improvement as compared to conventional fixed channel assignment scheme with 70 system channels.

• 한국멀티미디어학회논문지
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• 제12권6호
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• pp.824-832
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• 2009

Multi-radio multi-channel Wireless Mesh Network requires an effective management policy to control the assignment of channels to each radio. We concentrated our investigation on modeling method and solution to find a dynamic channel assignment scheme that is adapted to change of network traffic. Multi-path routing scheme was chosen to overwhelm the unreliability of wireless link. For a particular traffic state, our optimization model found a specific traffic distribution over multi-path and a channel assignment scheme that maximizes the overall network throughput. We developed a simple heuristic method for channel assignment by gradually removing clique load to obtain higher throughput. We also presented numerical examples and discussion of our models in comparison with existing research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권1호
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• pp.68-82
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• 2011

Wireless mesh networks (WMNs) provide high-speed backbone networks without any wired cable. Many researchers have tried to increase network throughput by using multi-channel and multi-radio interfaces. A multi-radio multi-channel WMN requires channel assignment algorithm to decide the number of channels needed for each link. Since the channel assignment affects routing and interference directly, it is a critical component for enhancing network performance. However, the optimal channel assignment is known as a NP complete problem. For high performance, most of previous works assign channels in a centralized manner but they are limited in being applied for dynamic network environments. In this paper, we propose a simple flow estimation algorithm and a hybrid channel assignment algorithm. Our flow estimation algorithm obtains aggregated flow rate information between routers by packet sampling, thereby achieving high scalability. Our hybrid channel assignment algorithm initially assigns channels in a centralized manner first, and runs in a distributed manner to adjust channel assignment when notable traffic changes are detected. This approach provides high scalability and high performance compared with existing algorithms, and they are confirmed through extensive performance evaluations.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1463-1466
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• 2002

This paper suggests the effective channel assignment scheme for mobility prediction handover. For maintaining required quality of service (QoS) during handover, there are handover algorithms these reserve the channel where the movement is predicted. But channel assignment schemes these have been studied are not considered mobility prediction handover. This paper suggests the channel assignment scheme that considers mobility predicted handover. The suggested algorithm maintains dropping probability of handover calls, decreases blocking probability of new calls and increases channel utilization.

• 한국통신학회논문지
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• 제38B권4호
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• pp.257-265
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• 2013

본 연구에서는 펨토 기지국 (Access Point: AP) 밀도가 높은 Orthogonal Frequency Division Multiple Access (OFDMA) 기반 펨토셀 네트워크 환경에서 하향링크 시스템 성능 향상을 위한 그래프 컬러링 기반 동적채널할당 (Graph Coloring based Dynamic Channel Assignment: GC-DCA) 방법을 연구한다. 제안하는 GC-DCA는 그래프 컬러링을 이용한 펨토 AP 그룹화 단계와 펨토 사용자 단말 (User Equipment: UE)의 신호 대 잡음비 (Signal to Interference plus Noise Ratio: SINR)을 고려한 동적채널할당 단계로 구성된다. 시뮬레이션을 통해 평균 펨토 UE 전송률과 펨토 UE 가 요구하는 전송률을 만족하지 못하는 펨토 UE 확률을 분석한 후, 제안하는 GC-DCA 가 다른 채널할당 방법들 보다 우수함을 보인다.

• International Journal of Contents
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• 제1권2호
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• pp.31-34
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• 2005

The new realtime applications like multimedia and realtime services in a wireless network will be dramatically increased. However, many realtime services of mobile hosts in a cell cannot be continued because of insufficiency of useful channels. Conventional channel assignment approaches didn't properly consider the problem to serve realtime applications in a cell. This paper proposes a new realtime channel assignment algorithm based on time constraint analysis of channel requests. The proposed algorithm dynamically borrows available channels from neighboring cells. It also supports a smooth handoff which continuously serves realtime applications of the mobile hosts.

• 정보처리학회논문지C
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• 제11C권2호
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• pp.203-212
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• 2004

최근 이동통신 네트워크에서 채널의 수요는 폭발적으로 증가하고 있다. 그렇지만 수요에 맞는 충분한 채널을 제공하기는 힘든 것이 현실이다. 이러한 수요를 충족시키기 위하여는 채널들을 간섭 현상이 없도록 재사용 함으로써 효율적으로 이용할 수 있도록 각 셀의 수요에 맞게 최적으로 할당하는 것이 요구된다. 본 논문의 목적은 이동통신 서비스 지역에 따라 채널 수요에 대한 변화가 불확실하고, 시간에 따라 변화가 심한 이동통신 네트워크에서 각 셀이 채널을 필요로 할 때 필요한 채널 수만큼을 동적으로 빠른 시간에 최적 할당하는 것이다. 이 목적을 달성하기 위하여 휴리스틱 알고리즘(Heuristic Algerian)을 사용하여 채널간의 간섭 정도를 최소화하는 동적 채널 할당방법을 개발하였다.

• 인터넷정보학회논문지
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• 제23권5호
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• pp.25-31
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• 2022

초고밀도 네트워크(Ultra dense network, UDN)는 5G 이동통신 시스템에서 많은 수의 스몰셀 기지국(Small-cell access point, SAP)이 매크로셀의 서비스 영역에 배치되기 때문에 매크로 단말(Macro user equipment, MUE)이 수신하는 간섭량이 증가하여 시스템 용량이 크게 감소한다. 따라서, 본 논문은 UDN에서 SAP의 수가 증가하여도 MUE의 성능을 보장하기 위한 상향링크 유동적 채널할당 방법을 제안한다. 제안하는 유동적 채널할당 방법은 간섭량이 높은 MUE와 동일한 부채널을 사용하지 않도록 SAP들이 사용하는 부채널을 제어하여 MUE의 신호 대 간섭 잡음비(Signal to interference and noise ratio)를 주어진 임계값 이상으로 보장하는 것을 목표한다. 시뮬레이션을 통해 제안하는 유동적 채널할당 방법이 다른 방법들과 비교해 스몰셀 사용자 단말의 성능은 크게 감소되지 않으면서 MUE의 평균 전송 용량이 향상됨을 보인다.