• 제목/요약/키워드: cellular network

검색결과 938건 처리시간 0.032초

Interference Coordination for Device-to-Device (D2D) under Multi-channel of Cellular Networks

  • Zulkifli, Aunee Azrina;Huynh, Thong;Kuroda, Kaori;Hasegawa, Mikio
    • Journal of Multimedia Information System
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    • 제3권4호
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    • pp.135-140
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    • 2016
  • To improve the throughput of Device-to-Device (D2D) communication, we focus on the scenario where D2D pair can reuse multi-channel of cellular communication. However, as sharing same channel with cellular communication can cause interference between D2D communication and cellular communication, a proper interference management is needed. In this paper, we propose interference-based channel allocation to select the channels to be used by D2D communication and a solution from game theory perspective to optimize the D2D communication throughput under multi-channel as well as guarantee the interference from it to cellular network. The simulation results verify the stability of the proposed method.

Packet Scheduling for Cellular Relay Networks by Considering Relay Selection, Channel Quality, and Packet Utility

  • Zhou, Rui;Nguyen, Hoang Nam;Sasase, Iwao
    • Journal of Communications and Networks
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    • 제11권5호
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    • pp.464-472
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    • 2009
  • In this paper, we propose a packet scheduling algorithm for cellular relay networks by considering relay selection, variation of channel quality, and packet delay. In the networks, mobile users are equipped with not only cellular but also user relaying radio interfaces, where base station exploits adaptive high speed downlink channel. Our proposed algorithm selects a user with good cellular channel condition as a relay station for other users with bad cellular channel condition but can get access to relay link with good quality. This can achieve flexible packet scheduling by adjusting transmission rates of cellular link. Packets are scheduled for transmission depending on scheduling indexes which are calculated based on user's achieved transmission rate, packet utility, and proportional fairness of their throughput. The performance results obtained by using computer simulation show that the proposed scheduling algorithm is able to achieve high network capacity, low packet loss, and good fairness in terms of received throughput of mobile users.

패턴 인식을 위한 진화 셀룰라 분류기 (Evolvable Cellular Classifiers for Pattern Recognition)

  • Ju, Jae-ho;Shin, Yoon-cheol;Hoon Kang
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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    • pp.236-240
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    • 2000
  • A cellular automaton is well-known for self-organizing and dynamic behaviors in the field of artificial life. This paper addresses a new neuronic architecture called an evolvable cellular classifier which evolves with the genetic rules (chromosomes) in the non-uniform cellular automata. An evolvable cellular classifier is primarily based on cellular programing, but its mechanism is simpler because it utilizes only mutations for the main genetic operators and resembles the Hopfield network. Therefore, the desirable hi t-patterns could be obtained through evolutionary processes for just one individual agent. As a result, an evolvable hardware is derived which is applicable to classification of bit-string information.

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셀룰러 기반 저궤도 위성통신 기술 동향 (Technology Trends in Cellular-Based Low Earth Orbit Satellite Communications)

  • 신재승;황유선;배형득;신재욱;오성민
    • 전자통신동향분석
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    • 제38권2호
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    • pp.1-11
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    • 2023
  • The recent explosion in the number of low earth orbit (LEO) satellites launched to space allows to easily anticipate that the number of satellites in orbit will sustain a dramatic increase. As satellite components are integrated and unified with terrestrial cellular networks, they will play a key role in providing coverage and resilience for future cellular networks. We provide a brief overview of typical scenarios and network architectures for cellular-based LEO satellite communication systems. In addition, we outline 3GPP standardization trends in non-terrestrial networks and satellite access based on 5G/5G Advanced systems and analyze future evolution prospects of cellular-based satellite communication systems.

셀 룰라 발진기 네트웍을 이용한 새로운 2진 주파수 편이 변조 기법 (A New Binary Frequency Shift Keying Technique Using Cellular Oscillator Networks)

  • 원은주;강성묵;최종호;문규
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(2)
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    • pp.258-261
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    • 2000
  • In this paper, the design of Binary FSK Using Cellular Oscillator Network architecture is newly introduced and analyzed. With its easy frequency controllability and MHz range of quadrature signals, the Cellular Oscillator Network can be used in RF communication systems. Binary Frequency Shift Keying can also be implemented through digital loop-path switching. This FSK model is simulated and proved with typical 3V, 0.5$\mu\textrm{m}$ CMOS N-well process parameters.

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Behavior Analysis of Evolved Neural Network based on Cellular Automata

  • Song, Geum-Beom;Cho, Sung-Bae
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.181-184
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    • 1998
  • CAM-Brain is a model to develop neural networks based in cellular automata by evolution, and finally aims at a model as and artificial brain,. In order to show the feasibility of evolutionary engineering to develop an artificial brain we have attempted to evolve a module of CAM-Brain for the problem to control a mobile robot, In this paper, we present some recent results obtained by analyzing the behaviors of the evolved neural module. Several experiments reveal a couple of problems that should be solved when CAM-Brain evolves to control a mobile robot. so that some modification of the original model is proposed to solve them. The modified CAM-Brain has evolved to behave well in a simulated environment, and a thorough analysis proves the power of evolution.

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On Solving the Tree-Topology Design Problem for Wireless Cellular Networks

  • Pomerleau Yanick;Chamberland Steven;Pesant Gilles
    • Journal of Communications and Networks
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    • 제8권1호
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    • pp.85-92
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    • 2006
  • In this paper, we study a wireless cellular network design problem. It consists of selecting the location of the base station controllers and mobile service switching centres, selecting their types, designing the network into a tree-topology, and selecting the link types, while considering the location and the demand of base transceiver stations. We propose a constraint programming model and develop a heuristic combining local search and constraint programming techniques to find very good solutions in a reasonable amount of time for this category of problem. Numerical results show that our approach, on average, improves the results from the literature.

복잡한 행동을 위한 셀룰라 오토마타 기반 신경망 모듈의 동적선택 (Dynamic Selection of Neural Network Modules based on Cellular Automata for Complex Behaviors)

  • 김경중;조성배
    • 대한전기학회논문지:시스템및제어부문D
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    • 제51권4호
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    • pp.160-166
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    • 2002
  • Since conventional mobile robot control with one module has limitation to solve complex problems, there have been a variety of works on combining multiple modules for solving them. Recently, many researchers attempt to develop mobile robot controllers using artificial life techniques. In this paper, we develop a mobile robot controller using cellular automata based neural networks, where complex tasks are divided to simple sub-tasks and optimal neural structure of each sub-task is explored by genetic algorithm. Neural network modules are combined dynamically using the action selection mechanism, where basic behavior modules compete each other by inhibition and cooperation. Khepera mobile robot simulator is used to verify the proposed model. Experimental results show that complex behaviors emerge from the combination of low-level behavior modules.

Distance Geometry-based Wireless Location Algorithms in Cellular Networks with NLOS Errors

  • Zhao, Junhui;Zhang, Hao;Ran, Rong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권6호
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    • pp.2132-2143
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    • 2015
  • This paper presents two distance geometry-based algorithms for wireless location in cellular network systems-distance geometry filtering (DGF) and distance geometry constraint (DGC). With time-of-arrival range measurements, the DGF algorithm estimates the mobile station position by selecting a set of measurements with relatively small NLOS (non-line-of-sight) errors, and the DGC algorithm optimizes the measurements first and then estimates the position using those optimized measurements. Simulation results show that the proposed algorithms can mitigate the impact of NLOS errors and effectively improve the accuracy of wireless location.

Femtocell Subband Selection Method for Managing Cross- and Co-tier Interference in a Femtocell Overlaid Cellular Network

  • Kwon, Young Min;Choo, Hyunseung;Lee, Tae-Jin;Chung, Min Young;Kim, Mihui
    • Journal of Information Processing Systems
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    • 제10권3호
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    • pp.384-394
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    • 2014
  • The femtocell overlaid cellular network (FOCN) has been used to enhance the capacity of existing cellular systems. To obtain the desired system performance, both cross-tier interference and co-tier interference in an FOCN need to be managed. This paper proposes an interference management scheme that adaptively constructs a femtocell cluster, which is a group of femtocell base stations that share the same frequency band. The performance evaluation shows that the proposed scheme can enhance the performance of the macrocell-tier and maintain a greater signal to interference-plus-noise ratio than the outage level can for about 99% of femtocell users.