• 제목/요약/키워드: Channel Assignment Algorithm

검색결과 98건 처리시간 0.028초

통신채널 할당 최적화 규칙 (An Optimization Rule for Channel Assignment Problem (CAP))

  • 이상운
    • 한국컴퓨터정보학회논문지
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    • 제18권6호
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    • pp.37-45
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    • 2013
  • 통신채널 최적 할당 문제는 아직까지 결정론적 규칙이 알려지지 않고 있어 비결정론적 방법인 휴리스틱 알고리즘으로 대부분 해를 구하고 있다. 본 논문은 통신채널 최적 할당 문제에 대해 결정론적 방법으로 채널 배정을 할 수 있음을 보인다. 채널 배정 규칙을 적용하여 필라델피아의 9개 사례에 대해 적용한 결과 최적해를 구하였다.

이동통신 시스템에서 Cooperative Diversity를 위한 Partner Assignment Algorithm (Partner Assignment Algorithm for Cooperative Diversity in mobile communication systems)

  • 정영석;이재홍
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.81-82
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    • 2006
  • Most work on cooperative diversity has assumed that the cooperating group (source and partners) and the associated average channel conditions between terminals (source, partners, and destination) are predetermined. In practical situations, however, it is important to develop the efficient algorithms for assigning the terminals with good inter-user channels for cooperating groups. In this paper, we propose the partner assignment algorithm for cooperative diversity in mobile communication systems. The proposed partner assignment algorithm is investigated by using the path loss model for mobile communication systems. Numerical results show that the proposed partner assignment algorithm provides the comparable probability of cooperative transmission to the partner assignment algorithm using exhaustive search. The probability of cooperative transmission increases with the number of users, which gives potential benefits of practical implementation to user cooperation in mobile communication systems.

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Pilot Sequence Assignment for Spatially Correlated Massive MIMO Circumstances

  • Li, Pengxiang;Gao, Yuehong;Li, Zhidu;Yang, Dacheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.237-253
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    • 2019
  • For massive multiple-input multiple-output (MIMO) circumstances with time division duplex (TDD) protocol, pilot contamination becomes one of main system performance bottlenecks. This paper proposes an uplink pilot sequence assignment to alleviate this problem for spatially correlated massive MIMO circumstances. Firstly, a single-cell TDD massive MIMO model with multiple terminals in the cell is established. Then a spatial correlation between two channel response vectors is established by the large-scale fading variables and the angle of arrival (AOA) span with an infinite number of base station (BS) antennas. With this spatially correlated channel model, the expression for the achievable system capacity is derived. To optimize the achievable system capacity, a problem regarding uplink pilot assignment is proposed. In view of the exponential complexity of the exhaustive search approach, a pilot assignment algorithm corresponding to the distinct channel AOA intervals is proposed to approach the optimization solution. In addition, simulation results prove that the main pilot assignment algorithm in this paper can obtain a noticeable performance gain with limited BS antennas.

셀룰라 이동 컴퓨팅 환경에서 유전 알고리즘을 이용한 채널차용 기법 (A Channel Borrowing Scheme using Genetic Algorithm in Cellular Mobile Computing Environment)

  • 이성훈;이동우;이상구
    • 한국정보과학회논문지:정보통신
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    • 제29권2호
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    • pp.165-173
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    • 2002
  • In the static channel assignment scheme for cellular mobile computing environment, each cell has a fixed number of channels and supports a service for a user′s request entering to the cell. This scheme has an advantage of simplicity. However, this scheme has a disadvantage that can′t control far hot cell problem. Therefore, to solve this problem, the "channel borrowing" concept is needed. In this paper, we propose a load balancing(channel borrowing, channel reassignment) approach using genetic algorithm. The purposes of using genetic algorithm in this paper are ${\circled1}$ to find early a cell including an available channel and ${\circled2}$ to decrease a number of probings and ${\circled3}$ to migrate to the cell after searching an available channel near upon optimality. To represent effectiveness of the proposed algorithm, we simulated various experiments.

Multi-level & Multi-bandwidth 시스템에서 위성중계기 입력반송파 전력의 최적 할당 기법 (A Method for Optimal Power Assignment of the Transponder Input Carriers in the Multi-level & Multi-bandwidth System)

  • 김병균;최형진
    • 전자공학회논문지A
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    • 제32A권9호
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    • pp.1167-1176
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    • 1995
  • This paper suggests a method for optimal power assignment of the satellite transponder input carriers in the Multi-level & Multi-bandwidth system. The interference and the noise effects analyzed for the optimal power assignment are intermodulation product caused by the nonlinear transponder characteristics, adjacent channel interference, co-channel interference, and thermal noise in the satellite link. The Fletcher- Powell algorithm is used to determine the optimal input carrier power. The performance criteria for optimal power assignment is classified into 4 categories according to the CNR of destination receiver earth station to meet the requirement for various satellite link environment. We have performed mathematical analysis of objective functions and their derivatives for use in the Fletcher-Powell algorithm, and presented various simulation results based on mathematical analysis. Since the satellite link, it is meaningful to model and analyze these effects in a unified manner and present the method for optimal power assignment of transponder input carriers.

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TSCH-Based Scheduling of IEEE 802.15.4e in Coexistence with Interference Network Cluster: A DNN Approach

  • Haque, Md. Niaz Morshedul;Koo, Insoo
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권1호
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    • pp.53-63
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    • 2022
  • In the paper, we propose a TSCH-based scheduling scheme for IEEE 802.15.4e, which is able to perform the scheduling of its own network by avoiding collision from interference network cluster (INC). Firstly, we model a bipartite graph structure for presenting the slot-frame (channel-slot assignment) of TSCH. Then, based on the bipartite graph edge weight, we utilize the Hungarian assignment algorithm to implement a scheduling scheme. We have employed two features (maximization and minimization) of the Hungarian-based assignment algorithm, which can perform the assignment in terms of minimizing the throughput of INC and maximizing the throughput of own network. Further, in this work, we called the scheme "dual-stage Hungarian-based assignment algorithm". Furthermore, we also propose deep learning (DL) based deep neural network (DNN)scheme, where the data were generated by the dual-stage Hungarian-based assignment algorithm. The performance of the DNN scheme is evaluated by simulations. The simulation results prove that the proposed DNN scheme providessimilar performance to the dual-stage Hungarian-based assignment algorithm while providing a low execution time.

FDMA기반 이동통신 시스템에서 효율적인 동적채널할당 방법 (A Method for Efficient Dynamic Channel Assignment in Mobile Communication Systems based FDMA)

  • 강기정;홍충선;이대영
    • 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.

Hopfield 신경망을 이용한 트래픽 제어 알고리즘 (Traffic Control Algorithm Using the Hopfield Neural Networks)

  • 이정일;김송민
    • 대한전자공학회논문지TE
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    • 제37권2호
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    • pp.62-68
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    • 2000
  • 동적채널할당 방식은 채널 이용 효율을 극대화시킬 수 있다는 장점은 있으나 채널을 최종적으로 가입자에게 할당 해주기 위해서는 여러 단계의 연산 과정을 수행해야 한다. 이로 인해 시스템 제어가 복잡해지고, 채널할당 시까지 필요로 하는 시간이 길어 전체 시스템 성능에 영향을 미치는 단점을 갖는다. 본 논문에서는 동적채널할당 방식을 적용하고자 할 때 가장 문제가 되는 채널할당 시까지 필요로 하는 제어 단계를 단순화시킬 수 있는 트래픽 제어 알고리즘을 제안한다.

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채널할당을 고려한 다중계층 셀룰러 네트워크 설계 (Hierarchical Cellular Network Design with Channel Allocation)

  • 박현수;이상헌
    • 한국국방경영분석학회지
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    • 제34권2호
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    • pp.63-77
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    • 2008
  • 제한된 주파수 범위 내에서 무선통신에 대한 수요증가에 따라 중계소 설치 및 채널할당 문제가 갈수록 중요시되고 있다. 최소한의 주파수 범위를 가지고 간접이 없는 채널을 할당하는 문제는 NP-hard 문제이다. 다중계층 셀룰러 네트워크는 무선통신의 수요가 늘어나고, 서비스 질 향상 요구의 증가에 따라 주목받고 있는 설계 방법이다. 다중계층 셀룰러 네트워크는 큰 도시에 적용되는 방법으로서 소비자의 이동속도에 따라 서로 다른 계층에서 관리하고 소비자에게 안정된 서비스를 제공한다. 본 논문의 유전자 알고리즘을 이용한 다중계층 설계는 지존의 2계층 방식과 달리 3계층(macro, micro, pico) 방법을 적용하며, EMC(Electromagnetic Compatibility Constraints)를 적응하여 현실성을 더욱 증가하였다. 후보지 선정 개수는 $15{\sim}40$개까지 적응하며, 72개의 데이터를 적용하여 알고리즘을 실험하여 수요자 수를 총 수요의 90%이상으로 끌어 올려 현실성을 강화시켰다.

Multi-Cluster based Dynamic Channel Assignment for Dense Femtocell Networks

  • Kim, Se-Jin;Cho, IlKwon;Lee, ByungBog;Bae, Sang-Hyun;Cho, Choong-Ho
    • 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.