• 제목/요약/키워드: two-tier network

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Femtocell Networks Interference Management Approaches

  • Alotaibi, Sultan
    • International Journal of Computer Science & Network Security
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    • 제22권4호
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    • pp.329-339
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    • 2022
  • Small cells, particularly femtocells, are regarded a promising solution for limited resources required to handle the increasing data demand. They usually boost wireless network capacity. While widespread usage of femtocells increases network gain, it also raises several challenges. Interference is one of such concerns. Interference management is also seen as a main obstacle in the adoption of two-tier networks. For example, placing femtocells in a traditional macrocell's geographic area. Interference comes in two forms: cross-tier and co-tier. There have been previous studies conducted on the topic of interference management. This study investigates the principle of categorization of interference management systems. Many methods exist in the literature to reduce or eliminate the impacts of co-tier, cross-tier, or a combination of the two forms of interference. Following are some of the ways provided to manage interference: FFR, Cognitive Femtocell and Cooperative Resource Scheduling, Beamforming Strategy, Transmission Power Control, and Clustering/Graph-Based. Approaches, which were proposed to solve the interference problem, had been presented for each category in this work.

Beamforming Optimization for Multiuser Two-Tier Networks

  • Jeong, Young-Min;Quek, Tony Q.S.;Shin, Hyun-Dong
    • Journal of Communications and Networks
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    • 제13권4호
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    • pp.327-338
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    • 2011
  • With the incitation to reduce power consumption and the aggressive reuse of spectral resources, there is an inevitable trend towards the deployment of small-cell networks by decomposing a traditional single-tier network into a multi-tier network with very high throughput per network area. However, this cell size reduction increases the complexity of network operation and the severity of cross-tier interference. In this paper, we consider a downlink two-tier network comprising of a multiple-antenna macrocell base station and a single femtocell access point, each serving multiples users with a single antenna. In this scenario, we treat the following beamforming optimization problems: i) Total transmit power minimization problem; ii) mean-square error balancing problem; and iii) interference power minimization problem. In the presence of perfect channel state information (CSI), we formulate the optimization algorithms in a centralized manner and determine the optimal beamformers using standard convex optimization techniques. In addition, we propose semi-decentralized algorithms to overcome the drawback of centralized design by introducing the signal-to-leakage plus noise ratio criteria. Taking into account imperfect CSI for both centralized and semi-decentralized approaches, we also propose robust algorithms tailored by the worst-case design to mitigate the effect of channel uncertainty. Finally, numerical results are presented to validate our proposed algorithms.

Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm

  • Jiao, Yan;Joe, Inwhee
    • Journal of Communications and Networks
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    • 제18권1호
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    • pp.112-122
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    • 2016
  • Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.

네트워크 기반 다자간 아바타 채팅 시스템의 구현 (An Implementation of the Avatar Chatting System for Network-Based Multi-User Environment)

  • 김종수;권오준;김태석
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2003년도 춘계학술발표대회논문집
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    • pp.171-174
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    • 2003
  • 다자간 채팅은 인터넷 기반에서 진보적인 발전을 한 분야이고, 네트워크 게임과 같은 어플리케이션 제작에 있어 필수적인 기술이다. 본 논문에서는 자바 기술을 이용하여 one-tier, two-tier 구조가 가진 불편한 유지보수, 데이터 은닉의 문제점을 해결하기 위하여 multi-tier architecture로 아바타를 사용하여 다자간 채팅시스템을 구현하였다. 또한 채팅에서 흥미를 유발하기 위한 캐릭터 전송기술, 다양한 문자를 보내기 위한 문자 포맷 기술을 구현하였다.

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Clustering Based Adaptive Power Control for Interference Mitigation in Two-Tier Femtocell Networks

  • Wang, Hong;Song, Rongfang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권4호
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    • pp.1424-1441
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    • 2014
  • Two-tier femtocell networks, consisting of a conventional cellular network underlaid with femtocell hotspots, play an important role in the indoor coverage and capacity of cellular networks. However, the cross- and co-tier interference will cause an unacceptable quality of service (QoS) for users with universal frequency reuse. In this paper, we propose a novel downlink interference mitigation strategy for spectrum-shared two-tier femtocell networks. The proposed solution is composed of three parts. The first is femtocells clustering, which maximizes the distance between femtocells using the same slot resource to mitigate co-tier interference. The second is to assign macrocell users (MUEs) to clusters by max-min criterion, by which each MUE can avoid using the same resource as the nearest femtocell. The third is a novel adaptive power control scheme with femtocells downlink transmit power adjusted adaptively based on the signal to interference plus noise ratio (SINR) level of neighboring users. Simulation results show that the proposed scheme can effectively increase the successful transmission ratio and ergodic capacity of femtocells, while guaranteeing QoS of the macrocell.

계층적 LTE 네트워크에서 최적의 트래킹 로드밸런스 기법의 성능분석 (Performance Analysis of Optimal Tracking Load Balance Scheme in Hierarchical LTE Networks)

  • 전민수;정종필
    • 전자공학회논문지
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    • 제50권6호
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    • pp.9-21
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    • 2013
  • 트래킹(Tracking)은 셀의 관점에서 트래킹 영역내의 UE(User Equipment)를 탐색하는 과정이다. 이 논문에서는, 매크로셀-마이크로셀 계층적 LTE 네트워크에 관한 PMMT(Pure Macro-Micro Tracking)과 IMMT(Integrated Macro-Micro Tracking)로 불리는 두가지 트래킹 기법의 성능을 평가한다. 이런 네트워크에서 UE들은 매크로셀과 겹쳐 있는 마이크로셀 모두에서 신호를 받을 수 있다. PMMT 기법에서 UE는 매크로셀-계층 또는 겹쳐있는 마이크로셀-계층에서 각각 호출될 수 있다. IMMT 기법에서 UE는 매크로셀-계층과 겹쳐있는 마이크로셀-계층의 조합으로 호출된다. 매크로셀-계층과 마이크로셀-계층 사이에 최적의 로드밸런스가 평가되었고, 분석 모델은 두 기법을 평가하기 위해 개발되었다.

Clustering Strategy Based on Graph Method and Power Control for Frequency Resource Management in Femtocell and Macrocell Overlaid System

  • Li, Hongjia;Xu, Xiaodong;Hu, Dan;Tao, Xiaofeng;Zhang, Ping;Ci, Song;Tang, Hui
    • Journal of Communications and Networks
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    • 제13권6호
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    • pp.664-677
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    • 2011
  • In order to control interference and improve spectrum efficiency in the femtocell and macrocell overlaid system (FMOS), we propose a joint frequency bandwidth dynamic division, clustering and power control algorithm (JFCPA) for orthogonal-frequency-division-multiple access-based downlink FMOS. The overall system bandwidth is divided into three bands, and the macro-cellular coverage is divided into two areas according to the intensity of the interference from the macro base station to the femtocells, which are dynamically determined by using the JFCPA. A cluster is taken as the unit for frequency reuse among femtocells. We map the problem of clustering to the MAX k-CUT problem with the aim of eliminating the inter-femtocell collision interference, which is solved by a graph-based heuristic algorithm. Frequency bandwidth sharing or splitting between the femtocell tier and the macrocell tier is determined by a step-migration-algorithm-based power control. Simulations conducted to demonstrate the effectiveness of our proposed algorithm showed the frequency-reuse probability of the FMOS reuse band above 97.6% and at least 70% of the frequency bandwidth available for the macrocell tier, which means that the co-tier and the cross-tier interference were effectively controlled. Thus, high spectrum efficiency was achieved. The simulation results also clarified that the planning of frequency resource allocation in FMOS should take into account both the spatial density of femtocells and the interference suffered by them. Statistical results from our simulations also provide guidelines for actual FMOS planning.

센서 네트워크에서 모바일 싱크를 위한 에너지 효율적인 라우팅 프로토콜 (An Energy-Efficient Routing Protocol for Mobile Sinks in Sensor Network)

  • 조지은;최종원
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제14권5호
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    • pp.482-486
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    • 2008
  • 센서 네트워크에서 센서 노드를 디자인할 때 중요한 고려사항 중 하나가 제한된 자원을 가진 센서 네트워크에서 주어진 에너지 소모를 최소화하여서 네트워크 수명을 연장하는 것이다. 이를 위해서 지금까지 많은 연구들이 되어 오고 있다. 그중 센서 네트워크에서 다수의 모바일 싱크를 지원하기 위한 프로토콜로 TTDD(Two-Tier Data Dissemination approach)가 제안되었지만 그리드 구조형성과 유지를 위한 제어 패킷이 증가하는 문제를 발생시켰다. 그러므로 본 논문에서는 센서네트워크에서 여러 개의 모바일 싱크와 다수의 소스가 존재하는 네트워크에서 고정 그리드를 이용하여 사용한 패킷의 양을 줄임으로써 에너지 효율적인 라우팅 프로토콜을 제안한다.

5G Network Communication, Caching, and Computing Algorithms Based on the Two-Tier Game Model

  • Kim, Sungwook
    • ETRI Journal
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    • 제40권1호
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    • pp.61-71
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    • 2018
  • In this study, we developed hybrid control algorithms in smart base stations (SBSs) along with devised communication, caching, and computing techniques. In the proposed scheme, SBSs are equipped with computing power and data storage to collectively offload the computation from mobile user equipment and to cache the data from clouds. To combine in a refined manner the communication, caching, and computing algorithms, game theory is adopted to characterize competitive and cooperative interactions. The main contribution of our proposed scheme is to illuminate the ultimate synergy behind a fully integrated approach, while providing excellent adaptability and flexibility to satisfy the different performance requirements. Simulation results demonstrate that the proposed approach can outperform existing schemes by approximately 5% to 15% in terms of bandwidth utilization, access delay, and system throughput.

자기조직화지도 신경망 모형과 Tier 모형을 이용한 아시아컨테이너항만의 클러스터링측정 및 추세분석에 관한 실증적 연구 (An Empirical Study on the Measurement of Clustering and Trend Analysis among the Asian Container Ports Using Self Organizing Maps based on Neural Network and Tier Models)

  • 박노경
    • 한국항만경제학회지
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    • 제30권1호
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    • pp.23-55
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    • 2014
  • 본 논문에서는 아시아 컨테이너항만들 간의 클러스터링 추세를 분석하기 위해서 자기조직화지도 신경망 모형과 Tier모형에 대해서 이론적으로 설명하고, 아시아 38개 컨테이너항만들의 11 년간 자료를 4개의 투입요소(선석길이, 수심, 총면적, 크레인 수), 1개의 산출요소(컨테이너화물처리량)를 이용하여 국내항만(부산, 인천, 광양항)들이 어떤 항만들과 클러스터링 해야만 하는지에 대한 측정방법을 실증적으로 보여 주고 분석하였다. 실증분석의 주요한 결과는 다음과 같다. 첫째, 자기조직화지도 신경망모형에 의한 클러스터링 추세분석에서 국내항만들은 클러스터링을 통해서 효율성을 증대[부산항(26.5%), 인천항(13.05%), 광양항(22.95%)]시 킬 수 있는 것으로 나타났다. 둘째, Tier모형을 이용한 클러스터링분석에서는 부산항(홍콩, 상해, 마닐라, 싱가포르항), 인천항(아덴, 닝보, 다바오, 방콕항), 광양항(아덴, 닝보, 방콕, 하이파, 두바이, 광저우항)과 각각 클러스터링을 해야만 하는 것으로 나타났다. 셋째, 자기조직화지도 신경망 모형에 Tier모형을 접목시킨 모형에서는 (1) 부산항은 인천항과 광양항에 비해서 효율성이 더 개선되었다. (2) 인천항은 2001년부터 2007년까지는 효율성이 더디게 개선되었으나, 2008년 이후에는 더욱 개선되었다. (3) 광양항은 2001년부터 2003년까지는 개선도가 높았으나, 2004년 이후 부터는 지속적으로 개선도가 하락하였다. 본 논문이 갖는 정책적인 함의는 첫째, 항만정책입안자들이 본 연구에서 사용한 두 가지 모형과 접목시킨 모형을 항만의 클러스터링 정책에 도입하여 해당항만이 발전할 수 있는 전략을 수립하고 이행해 나가야만 한다는 점이다. 둘째, 본 논문의 실증분석결과 국내항만들의 참조항만, 클러스터링항만들로서 나타난 아시아항만들에 대하여, 그들 항만들의 항만개발, 운영에 대한 내용을 정밀하게 분석하고 도입하여 실시하는 것이 필요하다.