• Title/Summary/Keyword: Multi-User

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A Simplified Zero-Forcing Receiver for Multi-User Uplink Systems Based on CB-OSFB Modulation

  • Bian, Xin;Tian, Jinfeng;Wang, Hong;Li, Mingqi;Song, Rongfang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2275-2293
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    • 2020
  • This paper focuses on the simplified receiver design for multi-user circular block oversampled filter bank (CB-OSFB) uplink systems. Through application of discrete Fourier transform (DFT), the special banded structure and circular properties of the modulation matrix in the frequency domain of each user are derived. By exploiting the newly derived properties, a simplified zero-forcing (ZF) receiver is proposed for multi-user CB-OSFB uplink systems in the multipath channels. In the proposed receiver, the matrix inversion operation of the large dimension multi-user equivalent channel matrix is transformed into DFTs and smaller size matrix inversion operations. Simulation is given to show that the proposed ZF receiver can dramatically reduce the computational complexity while with almost the same symbol error rate as that of the traditional ZF receiver.

On the Multiuser Diversity in SIMO Interfering Multiple Access Channels: Distributed User Scheduling Framework

  • Shin, Won-Yong;Park, Dohyung;Jung, Bang Chul
    • Journal of Communications and Networks
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    • v.17 no.3
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    • pp.267-274
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    • 2015
  • Due to the difficulty of coordination in the cellular uplink, it is a practical challenge how to achieve the optimal throughput scaling with distributed scheduling. In this paper, we propose a distributed and opportunistic user scheduling (DOUS) that achieves the optimal throughput scaling in a single-input multiple-output interfering multiple-access channel, i.e., a multi-cell uplink network, with M antennas at each base station (BS) and N users in a cell. In a distributed fashion, each BS adopts M random receive beamforming vectors and then selects M users such that both sufficiently large desired signal power and sufficiently small generating interference are guaranteed. As a main result, it is proved that full multiuser diversity gain can be achieved in each cell when a sufficiently large number of users exist. Numerical evaluation confirms that in a practical setting of the multi-cell network, the proposed DOUS outperforms the existing distributed user scheduling algorithms in terms of sum-rate.

Multi-user Multi-purpose 3D Simulation Engine (다자참여 다목적 3차원 시뮬레이션 엔진)

  • Koh, Wook
    • Journal of the Korea Computer Graphics Society
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    • v.1 no.2
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    • pp.273-278
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    • 1995
  • 실시간 3차원 렌더링(real-time 3D rendering)은 멀티미디어와 그래픽 반도체 기술의 발달로 PC와 게임전용기에서 급속히 확산되고 있는 추세이며 응용소프트웨어의 개발과 이를 지원할 수 있는 기술 개발은 매우 중요한 과제이다. 본 논문에서는 다자참여 (multi-user)와 다목적(multi-purpose) 활용이 가능한 고성능 3차원 시뮬레이션 엔진 소프트웨어의 구현 방법을 제시한다. 또한 데이터베이스 구축을 하기위한 도구의 구성과 다목적 활용을 위한 재구성(reconfiguration) 방법을 제시한다.

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Generalized User Selection Algorithm im Downlink Multiuser MIMo System (하향링크 다중 사용자 MIMO 시스템에서의 일반화된 사용자 선택 알고리즘)

  • Kang, Dae Geun;Shin, Change Ui;Kuem, Dong Hyun;Choi, Seung Won
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.4
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    • pp.99-105
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    • 2012
  • Recently, there are many user selection algorithms in multi user multiple-input multiple-output (MU-MIMO) systems. One of well-known user selection methods is Semi orthogonal user selection (SUS). It is an algorithm maximizing channel capacity. However, it is applicable only when user's antenna is one. We propose a generalized user selection algorithm regardless of the number of user's antennas. In the proposed scheme, Base station (Bs) selects the first user who has the highest determinant of channel and generates a user group that correlation with first user's channel is less than allowance of correlation. Then, each determinant of channels made up of first user's channel and a user's channel in the generated group is calculated and BS selects the next user who has the highest determinant of that. BS selects following users by repeating above procedure. In this paper, we get better performance because of selecting users who have the highest determinant of channel as well as allowance of correlation optimally calculated through matrix operations.

Implementation of a DI Multi-Touch Display Using an Improved Touch-Points Detection and Gesture Recognition (개선된 터치점 검출과 제스쳐 인식에 의한 DI 멀티터치 디스플레이 구현)

  • Lee, Woo-Beom
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.1
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    • pp.13-18
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    • 2010
  • Most of the research in the multi-touch area is based on the FTIR(Frustrated Total Internal Re리ection), which is just implemented by using the previous approach. Moreover, there are not the software solutions to improve a performance in the multi touch-blobs detection or the user gesture recognition. Therefore, we implement a multi-touch table-top display that is based on the DI(Diffused Illumination), the improved touch-points detection and user gesture recognition. The proposed method supports a simultaneous transformation multi-touch command for objects in the running application. Also, the system latency time is reduced by the proposed ore-testing method in the multi touch-blobs detection processing. Implemented device is simulated by programming the Flash AS3 application in the TUIO(Tangible User Interface Object) environment that is based on the OSC(Open Sound Control) protocol. As a result, Our system shows the 37% system latency reduction, and is successful in the multi-touch gestures recognition.

Ubiquitous Context-aware Modeling and Multi-Modal Interaction Design Framework (유비쿼터스 환경의 상황인지 모델과 이를 활용한 멀티모달 인터랙션 디자인 프레임웍 개발에 관한 연구)

  • Kim, Hyun-Jeong;Lee, Hyun-Jin
    • Archives of design research
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    • v.18 no.2 s.60
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    • pp.273-282
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    • 2005
  • In this study, we proposed Context Cube as a conceptual model of user context, and a Multi-modal Interaction Design framework to develop ubiquitous service through understanding user context and analyzing correlation between context awareness and multi-modality, which are to help infer the meaning of context and offer services to meet user needs. And we developed a case study to verify Context Cube's validity and proposed interaction design framework to derive personalized ubiquitous service. We could understand context awareness as information properties which consists of basic activity, location of a user and devices(environment), time, and daily schedule of a user. And it enables us to construct three-dimensional conceptual model, Context Cube. Also, we developed ubiquitous interaction design process which encloses multi-modal interaction design by studying the features of user interaction presented on Context Cube.

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Partly Random Multiple Weighting Matrices Selection for Orthogonal Random Beamforming

  • Tan, Li;Li, Zhongcai;Xu, Chao;Wang, Desheng
    • Journal of Communications and Networks
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    • v.18 no.6
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    • pp.892-901
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    • 2016
  • In the multi-user multiple-input multiple-output (MIMO) system, orthogonal random beamforming (ORBF) scheme is proposed to serve multiple users simultaneously in order to achieve the multi-user diversity gain. The opportunistic space-division multiple access system (OSDMA-S) scheme performs multiple weighting matrices during the training phase and chooses the best weighting matrix to be used to broadcast data during the transmitting phase. The OSDMA-S scheme works better than the original ORBF by decreasing the inter-user interference during the transmitting phase. To save more time in the training phase, a partly random multiple weighting matrices selection scheme is proposed in this paper. In our proposed scheme, the Base Station does not need to use several unitary matrices to broadcast pilot symbol. Actually, only one broadcasting operation is needed. Each subscriber generates several virtual equivalent channels with a set of pre-saved unitary matrices and the channel status information gained from the broadcasting operation. The signal-to-interference and noise ratio (SINR) of each beam in each virtual equivalent channel is calculated and fed back to the base station for the weighting matrix selection and multi-user scheduling. According to the theoretical analysis, the proposed scheme relatively expands the transmitting phase and reduces the interactive complexity between the Base Station and subscribers. The asymptotic analysis and the simulation results show that the proposed scheme improves the throughput performance of the multi-user MIMO system.

Performance analysis of MIMO-OFDM systems with adaptive beamformer (다중 사용자 환경에서 적응 빔 형성기를 가진 MIMO-OFDM 시스템의 성능 분석)

  • Kim, Chan-Kyu
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.9
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    • pp.1-8
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    • 2007
  • In this paper, the new beamforming is proposed for an orthogonal frequency division multiplexing(OFDM) system with multi-input multi-output(MIMO). Through the proposed Pre-FFT beamforming technique for MIMO-OFDM, the multibeams are formed toward each multi-transmitter antenna of the desired user. The proposed beamforming for MIMO-OFDM can reduce cochannel interference and get diversity gain in the multi-user environment. Therefore, the performance of MIMO-OFDM system is very improved. BER performance improvement of the proposed approach is investigated through computer simulation by applying it to MIMO-OFDM system in the multi-user environment.

Multi-channel Long Short-Term Memory with Domain Knowledge for Context Awareness and User Intention

  • Cho, Dan-Bi;Lee, Hyun-Young;Kang, Seung-Shik
    • Journal of Information Processing Systems
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    • v.17 no.5
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    • pp.867-878
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    • 2021
  • In context awareness and user intention tasks, dataset construction is expensive because specific domain data are required. Although pretraining with a large corpus can effectively resolve the issue of lack of data, it ignores domain knowledge. Herein, we concentrate on data domain knowledge while addressing data scarcity and accordingly propose a multi-channel long short-term memory (LSTM). Because multi-channel LSTM integrates pretrained vectors such as task and general knowledge, it effectively prevents catastrophic forgetting between vectors of task and general knowledge to represent the context as a set of features. To evaluate the proposed model with reference to the baseline model, which is a single-channel LSTM, we performed two tasks: voice phishing with context awareness and movie review sentiment classification. The results verified that multi-channel LSTM outperforms single-channel LSTM in both tasks. We further experimented on different multi-channel LSTMs depending on the domain and data size of general knowledge in the model and confirmed that the effect of multi-channel LSTM integrating the two types of knowledge from downstream task data and raw data to overcome the lack of data.

Role-Behavior Based Access Control on Mobile Agent System for Workflow Management System (워크플로우 응용을 위한 이동 에이전트 시스템에의 역할-행위 기반 접근통제 적용)

  • Shin, Wook;Lee, Dong-Ik;Yoon, Seok-Hwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.10 no.3
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    • pp.11-28
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    • 2000
  • In these days it is rapidly increasing that multi-user, multi-layered commercial software developments for companies or public institutions. Security services are necessary for most of systems and the access control service is the essential of security services. Current access control methods that are used as access control policies are classified as Discretionary Access Control Mandatory Access Control and Role Based Access Control. However there are some inefficiencies when those methods are applied to current multi-user, multi-layered systems. Therefore it is required that a new access control method that takes complex system resources into account from the side of policy. In this paper extending previous Role Based of 'Behavior' and a basic model of the method. And we simply implement the method on the mobile agent based workflow management system that is a representative example of multi-user. multi-layered softwares and shows implementation results to tap possibilities of real-world application.