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Featured researches published by Naoki Kusashima.


international conference on information and communication security | 2009

Fractional Base Station Cooperation Cellular Network

Naoki Kusashima; Ian Dexter Garcia; Kei Sakaguchi; Kiyomichi Araki; Shoji Kaneko; Yoji Kishi

In modern cellular systems, high-rate communication is performed using MIMO transmission by a Single Base Station (BS). This method is able to improve the transmission rate when the user is at the cell-inner. However the rate severely degrades when the user is located at cell-edge. Base Station Cooperation (BSC) MIMO is solve the cell-edge problem. BSC MIMO can improve capacity at the cell-edge than FFR or TAA cancellation, however, it has minimal impact on cell-inner users and increases complexity of the network. In this paper, Fractional Base Station Cooperation Cellular Network (FBSC-CN) is proposed in which a combination of Single BS MIMO and BSC Multiuser (MU) MIMO is performed in order to achieve gains both at the cell-inner and cell-edge with limited complexity. Furthermore, by cooperating with each BS autonomously and distributedly, cooperative BSs are able to select the most suitable transmission schemes to the users accordingly.


personal, indoor and mobile radio communications | 2010

Dynamic cooperation set clustering on base station cooperation cellular networks

Ian Dexter Garcia; Naoki Kusashima; Kei Sakaguchi; Kiyomichi Araki

Base station cooperation (BSC) has been identified as a key radio access technology for next-generation cellular networks such as LTE-Advanced. BSC maximizes its gains over non-cooperation (NC) in a network wherein interference from cooperating BSs is the main limitation. However, at locations where the signals from non-cooperating BSs are the dominant interference, the gains are minimal. Therefore, for every user equipment, the set of cooperating BSs must be properly selected in order to achieve the potential gains of BSC in a cellular network. In this paper, various BSC cluster types and cell regions are introduced, and the impact of dynamic clustering on BSC spectral efficiency is discussed. It is shown that to maximize the spectral efficiency gains of BSC multi-user MIMO to a UE, the BSs which induce the strongest received signal powers must be selected for cooperation. Simulation results show that by performing dynamic clustering, the geographical area at which BSC achieves better spectral efficiency over NC can be significantly increased over that of static clustering.


Eurasip Journal on Wireless Communications and Networking | 2010

Impact of base station cooperation on cell planning

Ian Dexter Garcia; Naoki Kusashima; Kei Sakaguchi; Kiyomichi Araki; Shoji Kaneko; Yoji Kishi

Base station cooperation (BSC) has been identified as a key radio access technology for next-generation cellular networks such as LTE-Advanced. BSC impacts cell planning, which is the methodical selection of base station (BS) sites, and BS equipment configuration for cost-effective cellular networks. In this paper, the impact of BSC on cell plan parameters (coverage, traffic, handover, and cost), as well as additional cell planning steps required for BSC are discussed. Results show that BSC maximizes its gains over noncooperation (NC) in a network wherein interference from cooperating BSs is the main limitation. Locations exist where NC may produce higher throughputs, therefore dynamic or semistatic switching between BSC and NC, called fractional BSC, is recommended. Because of interference from noncooperating BSs, the gains of BSC over NC are upper bounded, and diminishes at greater intersite distances because of noise. This encourages smaller cell sizes, higher transmit powers, and dynamic clustering of cooperative BSs.


Archive | 2008

CELLULAR MOBILE COMMUNICATION SYSTEM, BASE STATION CONTROL DEVICE, AND INTERSTATION-COOPERATED COMMUNICATION CONTROL METHOD

Shoji Kaneko; Takashi Inoue; Kei Sakaguchi; Naoki Kusashima; Ian Dexter Garcia


IEICE Transactions on Communications | 2011

Dynamic Fractional Base Station Cooperation Using Shared Distributed Remote Radio Units for Advanced Cellular Networks

Naoki Kusashima; Ian Dexter Garcia; Kei Sakaguchi; Kiyomichi Araki; Shoji Kaneko; Yoji Kishi


Proceedings of the Society Conference of IEICE | 2010

BS-2-17 OFDM symbol synchronization for Base Station Cooperation MIMO

Shinichi Tajima; Naoki Kusashima; Kei Sakaguchi; Kiyomichi Araki; Shoji Kaneko; Yoji Kishi


Proceedings of the IEICE General Conference | 2010

B-5-107 User Combination Selection Method for Base Station Cooperation Multi-User MIMO

Naoki Kusashima; Ian Dexter Garcia; Kei Sakaguchi; Kiyomichi Araki; Shoji Kaneko; Yoji Kishi


電子情報通信学会総合大会講演論文集 | 2009

BS-3-11 CELL PLANNING OF FRACTIONAL BASE STATION COOPERATION

Ian Dexter Garcia; Naoki Kusashima; Kei Sakaguchi; Kiyomichi Araki


Technical report of IEICE. RCS | 2009

A Study of Efficiently and Fast Tracking Equalization in OFDM Systems

Naoki Kusashima; Ian Dexter Garcia; Syouji Kaneko; Takashi Inoue; Kei Sakaguchi; Kiyomichi Araki


Archive | 2009

Cellular mobile communication system, base station control apparatus undZwischenstations-knitted together communication control method

Takashi Inoue; Ian Dexter Garcia; Shoji Kaneko; Kei Sakaguchi; Naoki Kusashima

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Kiyomichi Araki

Tokyo Institute of Technology

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Ian Dexter Garcia

Tokyo Institute of Technology

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Ian Dexter Garcia

Tokyo Institute of Technology

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Shinichi Tajima

Tokyo Institute of Technology

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