• Title/Summary/Keyword: space allocation

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Frequency divided group beamforming with sparse space-frequency code for above 6 GHz URLLC systems

  • Chanho Yoon;Woncheol Cho;Kapseok Chang;Young-Jo Ko
    • ETRI Journal
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    • v.44 no.6
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    • pp.925-935
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    • 2022
  • In this study, we propose a limited feedback-based frequency divided group beamforming with sparse space-frequency transmit diversity coded orthogonal frequency division multiplexing (OFDM) system for ultrareliable low latency communication (URLLC) scenario. The proposed scheme has several advantages over the traditional hybrid beamforming approach, including not requiring downlink channel state information for baseband precoding, supporting distributed multipoint transmission structures for diversity, and reducing beam sweeping latency with little uplink overhead. These are all positive aspects of physical layer characteristics intended for URLLC. It is suggested in the system to manage the multipoint transmission structure realized by distributed panels using a power allocation method based on cooperative game theory. Link-level simulations demonstrate that the proposed scheme offers reliability by achieving both higher diversity order and array gain in a nonline-of-sight channel of selectivity and limited spatial scattering.

IP Address Auto-configuration for Mobile Ad Hoc Networks (이동 애드 혹 네트워크를 위한 인터넷 프로토콜 주소 자동 설정 기법)

  • Choi, Nak-Jung;Joung, Uh-Jin;Kim, Dong-Kyun;Choi, Yang-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.3A
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    • pp.297-309
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    • 2007
  • We introduce two distributed IP address auto-configuration mechanisms for mobile ad hoc networks. RADA (Random ADdress Allocation) is based on random IP address selection, while LiA (Linear Address Allocation) assigns new addresses sequentially, using the current maximum IP address. An improved version of LiA, hewn as LiACR (Linear Address Allocation with Collision Resolution) further reduces the control overhead. Simulation results show that, when many nodes join a network during a short period, RADA assigns addresses more quickly than LiA and LiACR. However, RADA uses the address space less efficiently, due to its random allocation of IP addresses. Hence, RADA is particularly useful in battlefield scenarios or rescue operations where fast setup is needed, while LiA and LiACR are more suitable for ad hoc networks that are moderate, confined and subject to some form of governance control, such as that orchestrated by a wireless service provider.

A Resource Allocation Strategy for Cloud Computing in Vehicular Datacenter (차량 데이터센터에서 클라우드 컴퓨팅을 위한 자원 선택 기법)

  • Kim, Seoyeon;Jung, Jinman;Kim, Taesik;Min, Hong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.183-189
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    • 2018
  • With the recent advancement of vehicle wireless communication technology, many vehicular clouds have been proposed. The existing research focused on cloud services through data collection based on vehicular networks of mobile V2V (Vehicle-to-Vehicle) and V2I (Vehicle-to-Infrastructure). In this paper, we present a vehicular datacenter model that utilizes the vehicle in the parking space as a resource for the datacenter. Also, we derive resource allocation strategy based on the expected execution time considering the leave rate of each vehicle in our vehicular datacenter model. Simulation results show that our proposed resource allocation strategies outperform the existing strategy in terms of mean execution time.

A study of system functions allocation of wireless communications based train control system (도시철도용 무선통신기반 열차제어시스템 기능배치 연구)

  • Yoon, Yong-Ki;Oh, Seh-Chan;Kim, Min-Su;Kim, Yong-Kyu;Choi, June-Young;Park, Jae-Young
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.2300-2305
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    • 2011
  • A Train control system is intended to assure train operation safety and to improve train operation efficiency. To perform these missions, the Train Control System consists of train safety space control part, train route control part and train operation management part. Train control technology changed from track circuit based to wireless based. And Wireless based train control technologies were developed by some railway signaling companies in Korea. To commercialize these control technologies, the development project is carried now. This project did analyze system requirements, and made the system development specification. Now this project finished system functions allocation, which will be performed by some subsystem. This paper describes roles of each function and the allocation of these functions to each subsystem.

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Symbol Characters Allocation of a QWERTY Type Keyboard Design for Smartphones

  • Kim, Kuk
    • Industrial Engineering and Management Systems
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    • v.13 no.4
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    • pp.408-413
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    • 2014
  • The QWERTY type keyboard is a classical device that has been used for computers for a long time. The keyboard design of mobile devices like smartphones is an important issue to consider because of the limited space on the touch screen. This paper presents a design for symbol allocation on the QWERTY type soft keyboard. A 27-cell model, including the full stop (.), is proposed in this paper. A QWERTY type keyboard for smartphones is mainly known for its spatial compatibility, whereas the characters of the ANSI keyboard are allocated to the shoulder positions for functional auxiliary input methods such as the long pressing method.

The Optimal Allocation Model for SAM Using Multi-Heuristic Algorithm : Focused on Aircraft Defense (복합 휴리스틱 알고리즘을 이용한 지대공 유도무기 최적배치 모형 : 항공기 방어를 중심으로)

  • Kwak, Ki-Hoon;Lee, Jae-Yeong;Jung, Chi-Young
    • Journal of the Korean Operations Research and Management Science Society
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    • v.34 no.4
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    • pp.43-56
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    • 2009
  • In korean peninsular, aircraft defense with SAM (Surface-to-Air Missile) is very important because of short range of combat space in depth. Effective and successful defense operation largely depends on two factors, SAM's location and the number of SAM for each target based on missile's availability in each SAM's location. However, most previous papers have handled only the former. In this paper, we developed Set covering model which can handle both factors simultaneously and Multi-heuristic algorithm for solving allocation problem of the batteries and missile assignment problem in each battery. Genetic algorithm is used to decide optimal location of the batteries. To determine the number of SAM, a heuristic algorithm is applied for solving missile assignment problem. If the proposed model is applied to allocation of SAM, it will improve the effectiveness of air defense operations.

The Effects of Cooking Operations Duties and Kitchen Facilities on Fatigue (조리 작업과 주방 환경이 조리 종사원의 업무 피로도에 미치는 영향에 관한 연구)

  • Chung, Hea-Jung;Rho, Su-Jung;Lee, Ken-Ho
    • Journal of the East Asian Society of Dietary Life
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    • v.18 no.3
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    • pp.405-414
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    • 2008
  • The purpose of this study was to understand the relationship between a chef's physical pain complaints and occupational circumstances. Cause-and-effect analysis of employees whose work was related to cooking was analyzed in relation to, - factor of cooking circumstances (kitchen condition, cooking operation, cooking allocation and distance of movement, cooking facilities) in order to ascertain possible links to physical pain. Cooking operations appeared to causes pain, especially in neck, shoulders, and legs. Cooking allocation and distance of movement, affected backache, eye-tiredness, and change of body-weight. Cooking space and facilities was related to, pain in waist, neck, shoulders, legs, arms, wrists, and back. Because cooking operations require extended concentrations and intensive effort, inappropriate occupational circumstances can lead to employees who usually suffer from accumulated.

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Geolocation Spectrum Database Assisted Optimal Power Allocation: Device-to-Device Communications in TV White Space

  • Xue, Zhen;Shen, Liang;Ding, Guoru;Wu, Qihui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.12
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    • pp.4835-4855
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    • 2015
  • TV white space (TVWS) is showing promise to become the first widespread practical application of cognitive technology. In fact, regulators worldwide are beginning to allow access to the TV band for secondary users, on the provision that they access the geolocation database. Device-to-device (D2D) can improve the spectrum efficiency, but large-scale D2D communications that underlie TVWS may generate undesirable interference to TV receivers and cause severe mutual interference. In this paper, we use an established geolocation database to investigate the power allocation problem, in order to maximize the total sum throughput of D2D links in TVWS while guaranteeing the quality-of-service (QoS) requirement for both D2D links and TV receivers. Firstly, we formulate an optimization problem based on the system model, which is nonconvex and intractable. Secondly, we use an effective approach to convert the original problem into a series of convex problems and we solve these problems using interior point methods that have polynomial computational complexity. Additionally, we propose an iterative algorithm based on the barrier method to locate the optimal solution. Simulation results show that the proposed algorithm has strong performance with high approximation accuracy for both small and large dimensional problems, and it is superior to both the active set algorithm and genetic algorithm.

A Simulation Based Study on Increasing Production Capacity in a Crankshaft Line Considering Limited Budget and Space (예산과 공간 제약하에서 크랭크샤프트 생산라인의 생산능력 증대를 위한 시뮬레이션 기반의 연구)

  • Wang, Guan;Song, Shou;Shin, Yang Woo;Moon, Dug Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.5
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    • pp.481-491
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    • 2014
  • In this paper, we discussed a problem for improving the throughput of a crankshaft manufacturing line in an automotive factory in which the budget for purchasing new machines and installing additional buffers is limited. We also considered the constraint of available space for both of machine and buffer. Although this problem seems like a kind of buffer allocation problem, it is different from buffer allocation problem because additional machines are also considered. Thus, it is not easy to calculate the throughput by mathematical model, and therefore simulation model was developed using $ARENA^{(R)}$ for estimating throughput. To determine the investment plan, a modified Arrow Assignment Rule under some constraints was suggested and it was applied to the real case.