• Title/Summary/Keyword: Loss Allocation

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Performance Evaluation of DWBA for TWDM PON (TWDM PON의 동적파장 및 대역할당 알고리즘 성능평가)

  • Hong, Seong Hak;Han, Man Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.978-979
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    • 2013
  • This paper introduces a dynamic wavelength and bandwidth allocation method for TWDM PON and describes the performance evaluation results. Using computer simulations, we compare the frame delay variance and the frame loss rate of the introduced method with those of the existing method.

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Preventive Adaption Threshold Mechanism in Buffer Allocation for Shared Memory Buffer (공유 메모리 버퍼에서의 예방적 적응 한계치 버퍼 할당 기법)

  • Shin, Tae-Ho;Lee, Sung-Chang;Lee, Hyeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.38 no.10
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    • pp.24-33
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    • 2001
  • Delay, delay variation and packet loss rate are principal QoS(Quality of Service) elements of packet communication. This paper proposes a new buffer allocation mechanism to improve the packet loss performance in such a situation that multiple logical buffers share a single physical memory buffer. In the proposed buffer allocation mechanism, the movement of dynamic threshold follows a curved track instead of a straight line which is used in the DT(dynamic threshold) mechanism. In order evaluate the effectiveness of the proposed mechanism, it is compared with the existing previously proposed mechanisms in several aspects including NC(no control), ST(Static Threshold) and DT mechanisms.

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Communication Resource Allocation Strategy of Internet of Vehicles Based on MEC

  • Ma, Zhiqiang
    • Journal of Information Processing Systems
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    • v.18 no.3
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    • pp.389-401
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    • 2022
  • The business of Internet of Vehicles (IoV) is growing rapidly, and the large amount of data exchange has caused problems of large mobile network communication delay and large energy loss. A strategy for resource allocation of IoV communication based on mobile edge computing (MEC) is thus proposed. First, a model of the cloud-side collaborative cache and resource allocation system for the IoV is designed. Vehicles can offload tasks to MEC servers or neighboring vehicles for communication. Then, the communication model and the calculation model of IoV system are comprehensively analyzed. The optimization objective of minimizing delay and energy consumption is constructed. Finally, the on-board computing task is coded, and the optimization problem is transformed into a knapsack problem. The optimal resource allocation strategy is obtained through genetic algorithm. The simulation results based on the MATLAB platform show that: The proposed strategy offloads tasks to the MEC server or neighboring vehicles, making full use of system resources. In different situations, the energy consumption does not exceed 300 J and 180 J, with an average delay of 210 ms, effectively reducing system overhead and improving response speed.

On Calculation of Total Power and Allocation for Achieving Near 1+1 Capacity Region of 2PAM NOMA in 5G Networks (5G 네트워크에서 비직교 다중 접속 2PAM의 근접 1+1 용량 영역 달성을 위한 총 전력과 할당의 계산)

  • Chung, Kyuhyuk
    • Journal of Convergence for Information Technology
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    • v.11 no.5
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    • pp.9-16
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    • 2021
  • In binary-modulation non-orthogonal multiple access (NOMA), there has been rare researches for the 1+1 capacity region to be achieved; how much total power is required and what power allocation is assigned for this total power. In this paper, the average total transmitted power to achieve 1+1 capacity region of binary pulse amplitude modulation (2PAM) NOMA is investigated, with a tolerable loss. Then, based on the sufficient average total transmitted power, we calculate the power allocation coefficient to achieve 1+1 capacity region. Furthermore, it is shown by numerical results that with the tolerable loss less than 0.008, near 1+1 capacity region is achieved. We also calculate numerically the power allocation coefficient for both users to achieve near 1+1 capacity region. As a result, for 2PAM NOMA to operate near 1+1 capacity region, proper total power with appropriate power allocation could be calculated in design of NOMA systems.

Minimization of Fuel Cost by Optimal P-Q Generation in Three-Bus System (3 모선 시스템의 유무효 발전력 최적분담을 통한 연료비 최소화)

  • Lee, Sang-Joong;Yang, Seong-Deog
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.1
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    • pp.40-43
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    • 2005
  • This paper presents the minimization of the fuel cost by optimal allocation of P-Q generation in a three-bus sample system. Derivation of the system loss sensitivities by optimization technique is introduced. The loss sensitivities are substituted into the optimality conditions and the optimal P-Q allocation is computed to obtain the minimal fuel cost.

The Allocation of Risk under Sale of Goods in American Law - Focused on the Uniform Commercial Code and Cases - (미국법상 물품매매계약에서의 위험의 분배 - 통일상법전(UCC)의 규정 및 사례를 중심으로 -)

  • Kim, Young Ju
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.58
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    • pp.59-98
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    • 2013
  • Risk of loss is a term used in the law of contracts to determine which party should bear the burden of risk for damage occurring to goods after the sale has been completed, but before delivery has occurred. Under the Uniform Commercial Code (UCC), there are four risk of loss rules, in order of application. First, it is agreement that is the agreement of the parties controls. Second, the breaching party is liable for any uninsured loss even though breach is unrelated to the problem. Hence, if the breach is the time of delivery, and the goods show up broken, then the breaching rule applies risk of loss on the seller. Third, the delivery by common carrier other than by seller is necessary: Risk of loss shifts from seller to buyer at the time that seller completes its delivery obligations; If it is a destination contract, then risk of loss is on the seller; If it is a delivery contract, then the risk of loss is on the buyer. Fourth, if the seller is a merchant, then the risk of loss shifts to the buyer upon buyer's receipt of the goods. If the buyer never takes possession, then the seller still has the risk of loss. This paper discusses problems of risk of loss under the American law. Specifically, this paper focuses on the interpretation of UCC sections and analysis of various cases. By comparing, also, UCC and Korean law, the paper proposes some implications of risk of loss issues for Korean law.

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Dynamic Slot Allocation Algorithm of Wireless ATM (무선 ATM에서의 동적 슬롯 할당 알고리즘)

  • Lee, Ji-Hyun;Yu, So-Young;Seo, Ju-Ha
    • Journal of Industrial Technology
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    • v.21 no.A
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    • pp.189-198
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    • 2001
  • In recent years, the predominant part in telecommunications is mobile communications. The next generation network is extending today's voice-only mobile networks to multi-service networks. ATM Network is possible to carry such multi-media traffic and it will be expect to use wireless ATM for the future mobile access network. One of manly important aspects for the performance of wireless ATM is the Medium Access Control (MAC) protocol. The MAC protocol must be able to satisfyingly handle the different ATM services (CBR, VBR, ABR and UBR) with their radically different performance requirements. Additionally, the MAC protocol must be able to cope with the complex radio environment where fading, multi-path propagation interference and burst-errors further complicate the situation. In this paper, a dynamic slot allocation algorithm in wireless ATM is proposed for an efficient channel sharing/media access at the MAC layer. We use equivalent capacity in the allocation of slots for VBR traffic which is variable along the time. It is simple and effective slot allocation method for VBR service. In particular, we consider the slot allocation of a session consisted of several connections for requirement of multimedia traffic. Simulation shows that the cell loss ratio is reduced by re-allocation of extra slots in Mobile Terminal (MT).

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Impact of Channel Estimation Errors on BER Performance of Single-User Decoding NOMA System

  • Chung, Kyuhyuk
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.18-25
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    • 2020
  • In the fifth generation (5G) and beyond 5G (B5G) mobile communication, non-orthogonal multiple access (NOMA) has attracted great attention due to higher spectral efficiency and massive connectivity. We investigate the impacts of the channel estimation errors on the bit-error rate (BER) of NOMA, especially with the single-user decoding (SUD) receiver, which does not perform successive interference cancellation (SIC), in contrast to the conventional SIC NOMA scheme. First, an analytical expression of the BER for SUD NOMA with channel estimation errors is derived. Then, it is demonstrated that the BER performance degrades severely up to the power allocation less than about 20%. Additionally, we show that for the fixed power allocation of 10% in such power allocation range, the signal-to-noise (SNR) loss owing to channel estimation errors is about 5 dB. As a consequence, the channel estimation error should be considered for the design of the SUD NOMA scheme.

Optimal Capacity and Allocation of Distributed Generation by Minimum Operation Cost in Distribution Systems

  • Shim Hun;Park Jung-Hoon;Bae In-Su;Kim Jin-O
    • KIEE International Transactions on Power Engineering
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    • v.5A no.1
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    • pp.9-15
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    • 2005
  • In the operation of distribution systems, DGs (Distributed Generations) are installed as an alternative to extension and the establishment of substations, transmission and distribution lines according to the increasing power demand. In the operation planning of DGs, determining optimal capacity and allocation achieves economical profitability and improves the reliability of power distribution systems. This paper proposes a determining method for the optimal number, size and allocation of DGs in order to minimize the operation costs of distribution systems. Capacity and allocation of DGs for economical operation planning duration are determined to minimize total cost composed with power buying cost, operation cost of DGs, loss cost and outage cost using the GA (Genetic Algorithm).

AUTOMATING SUPERVISORY MANPOWER ALLOCATION FOR CONSTRUCTION SITES

  • Jieh-Haur Chen;Li-Ren Yang;W. H. Chen;C. K. Chang
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.239-248
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    • 2007
  • In the highly competitive construction industry, a slight inaccuracy of estimation can easily cause the loss of a project. Erroneous experience-based cost estimates or allocations of on-site supervisory manpower often offset the profit gained from the project and may jeopardize the management processes. To counter these types of problems, we develop a model using mathematical analysis and case-based reasoning to automate the allocation of on-site supervisory manpower and estimate construction site costs. The method is founded upon laborious data collection processes and analysis by matching statistical assumptions, and is applicable to construction projects. In the modeling the costs and allocation of on-site supervisory manpower are quantified for both owners and contractors before initiating or bidding on the projects. The findings confirm that the degree of variation of the model predictions has an accuracy rate at 88.47%. Single-site construction projects can be accurately predicted and the assignment of supervisory manpower feasibly automated.

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