• Title/Summary/Keyword: Sum data rate

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3D Beamforming Techniques in Multi-Cell MISO Downlink Active Antenna Systems for Large Data Transmission (대용량 데이터 전송을 위한 다중 셀 MISO 하향 능동 안테나 시스템에서 3D 빔포밍 기법)

  • Kim, Taehoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.11
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    • pp.2298-2304
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    • 2015
  • In this paper, we provide a new approach which optimizes the vertical tilting angle of the base station for multi-cell multiple-input single-output (MISO) downlink active antenna systems (AAS). Instead of the conventional optimal algorithm which requires an exhaustive search, we propose simple and near optimal algorithms. First, we represent a large system approximation based vertical beamforming algorithm which is applied to the average sum rate by using the random matrix theory. Next, we suggest a signal-to-leakage-and-noise ratio (SLNR) based vertical beamforming algorithm which simplifies the optimization problem considerably. In the simulation results, we demonstrate that the performance of the proposed algorithms is near close to the exhaustive search algorithm with substantially reduced complexity.

Novel SINR-Based User Selection for an MU-MIMO System with Limited Feedback

  • Kum, Donghyun;Kang, Daegeun;Choi, Seungwon
    • ETRI Journal
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    • v.36 no.1
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    • pp.62-68
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    • 2014
  • This paper presents a novel user selection method based on the signal-to-interference-plus-noise ratio (SINR), which is approximated using limited feedback data at the base stations (BSs) of multiple user multiple-input multiple-output (MU-MIMO) systems. In the proposed system, the codebook vector index, the quantization error obtained from the correlation between the measured channel and the codebook vector, and the measured value of the largest singular value are fed back from each user to the BS. The proposed method not only generates precoding vectors that are orthogonal to the precoding vectors of the previously selected users and are highly correlated with the codebook vector of each user but also adopts the quantization error in approximating the SINR, which eventually provides a significantly more accurate SINR than the conventional SINR-based user selection techniques. Computer simulations show that the proposed method enhances the sum rate of the conventional SINR-based methods by at least 2.4 (2.62) bps/Hz when the number of transmit antennas and number of receive antennas per user terminal is 4 and 1(2), respectively, with 100 candidate users and an SNR of 30 dB.

Resource Allocation for Cooperative Relay based Wireless D2D Networks with Selfish Users

  • Niu, Jinxin;Guo, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.6
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    • pp.1996-2013
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    • 2015
  • This paper considers a scenario that more D2D users exist in the cell, they compete for cellular resources to increase their own data rates, which may cause transmission interference to cellular users (CU) and the unfairness of resource allocation. We design a resource allocation scheme for selfish D2D users assisted by cooperative relay technique which is used to further enhance the users' transmission rates, meanwhile guarantee the QoS requirement of the CUs. Two transmission modes are considered for D2D users: direct transmission mode and cooperative relay transmission mode, both of which reuses the cellular uplink frequency resources. To ensure the fairness of resource distribution, Nash bargaining theory is used to determine the transmission mode and solve the bandwidth allocation problem for D2D users choosing cooperative relay transmission mode, and coalition formation game theory is used to solve the uplink frequency sharing problem between D2D users and CUs through a new defined "Selfish order". Through theoretical analysis, we obtain the closed Nash bargaining solution under CUs' rate constraints, and prove the stability of the formatted coalition. Simulation results show that the proposed resource allocation approach achieves better performance on resource allocation fairness, with only little sacrifice on the system sum rates.

Adaptive Motion Vector Estimation Using the Regional Feature (영역별 특성을 이용한 적응적 움직임 벡터 추정 기법)

  • Park, Tae-Hee;Lee, Dong-Wook;Kim, Jae-Min;Kim, Young-Tae
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.502-504
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    • 1995
  • In video image compression, it is important to extract the exact notion information from image sequence in order to perform the data compression, the field rate conversion, and the motion compensated interpolation effectively. It is well known that the location of the smallest sum of absolute difference(SAD) does not always give the true motion vector(MV) since the MV obtained via full block search is often corrupted by noise. In this paper, we first classifies the input blocks into 3 categories : the background, the shade-motion, and the edge-motion. According to the characteristics of the classified blocks, multiple locations of relatively small SAD are searched with an adaptive search window by using the proposed method. The proposed method picks MVs among those candidates by using temporal correlation. Since temporal correlation reveals the noise level in a particular region of the video image sequence, we are able to reduce the search are very effectively.

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Lower Body Somatotype Classification and Discrimination of Elderly Women According to Index (지수치를 이용한 노년 여성의 하반신 체형 유형화에 관한 연구)

  • 김수아;이경미;최혜선
    • Journal of the Korean Society of Costume
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    • v.53 no.6
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    • pp.117-130
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    • 2003
  • The purpose of this study is to provide the basic data on the development of ready-to-wear clothing for the elderly women as the population of the elderly has been constantly increasing as well as the purchasing power of the aged. The body measurements of 318 elderly women were taken. whose ages were over 60 years and enrolled in colleges for the elderly. sports centers. or business sites in Seoul and the neighboring districts. A total of 39 features in the lower body were used for the anthropometric measurement and analysis. The results of the study are as follows: 1. Indices of height and weight were used for factor analysis. cluster analysis, and discriminant analysis in order to 'classify lower body somatotype according to shape, excluding size factors. From the results of the factor analysis. the 5 factors showed the cumulative sum of square at 75.63%. 2. Somatotype were classified into two types according to a cluster analysis using height and weight dices. Type 1 is the group is relatively tall and has somewhat fat lower limbs. Type 2 is considered fat and has obesity factors around waist and abdomen area. The hit rate for the classified two groups showed the result at 95.9%.

A Study on the efficient AODV Routing Algorithm using Cross-Layer Design (크로스레이어 디자인을 이용한 효율적인 AODV 알고리즘에 관한 연구)

  • Nam, Ho-Seok;Lee, Tae-Hoon;Do, Jae-Hwan;Kim, Jun-Nyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.11B
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    • pp.981-988
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    • 2008
  • In this paper, the efficient AODV routing algorithm in MANET is proposed. Because transmission channel has a high error rate and loss in MANET, the number of hops can't be regarded as an absolute network metric. After measuring FER periodically at the data link layer using cross-layer design, the scheme that every node forwards the weight of link status in the reserved field of AODV protocol is used. In order to find the efficient route, we design AODV to be able to select an optimal route that has a good channel status by evaluating the sum of weight. The proposed AODV improves throughput, routing overhead and average end-to-end delay in comparison with the generic AODV.

The Variation of Visitor' Behavior in relation to the Planar Exhibition and the Three Dimensional Exhibition in Art Museum;focused on Busan Museum of Modern Art (미술관에서 평면전시와 입체전시에 따른 관람행태의 변화;부산시립미술관을 중심으로)

  • Jeong, Jae-Hoon
    • Korean Institute of Interior Design Journal
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    • v.17 no.4
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    • pp.84-91
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    • 2008
  • The objective of this study is to investigate how visitors' behavior change in relation to the pattern of exhibition in art museum. For the purpose Busan Museum of Modern Art was selected as the sample in this study. And two patterns of exhibition, namely the planar exhibition and the three dimensional exhibition, were surveyed using the tracking movement method. The data gathered from random-sampling 60 visitors in a art museum was analyzed by the correlation analysis and T-test. The results are as follows; 1) There is no meaningful difference in visitors' behavior by the exhibition pattern in terms of their viewing area, viewing time, viewing distance, viewing velocity, viewing rate. 2) In contrast, there is meaningful difference in terms of the number of stops by visitors and the time spent without movement to see the objects; visitors stopped more often and stayed longer within the three dimensional exhibition space than the planar exhibition in a art museum. In sum, visitors extrinsically show no big behavioral difference between the planar exhibition and the three dimensional exhibition, but much difference in the way they communicate with objects; they show more active behavior within the three dimensional exhibition space.

Influence of Time Stress on EEG Characteristics Related with Human Errors (시간 압박이 인간과오 관련 뇌파 특성에 미치는 영향)

  • Lim, Hyeon-Kyo
    • Journal of the Korean Society of Safety
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    • v.26 no.3
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    • pp.83-90
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    • 2011
  • It is well known that urgency resulted from time stress can be a great cause to industrial accidents. Therefore, time stress has been studied in the aspect of macroscopic view, namely industrial safety management, but has not been studied in microscopic view such as psychophysiological approach. Among diverse psychophysiological indices, Electroencephalogram(EEG) would be on of the most objective psychophysiological research technique on human errors though few research has been taken yet. This study aimed to get characteristics of human error while committing a simple arithmetic addition task by utilizing the power spectrum technique of EEG data. Each experiment was composed of 2 tasks under different condition - with and without time stress. As subjects, 5 young undergraduate students in their early twenties participated in this study. The results advocated a well-known fact that time stress downgrades the performance of human workers. However, correct answer rate and response time were not significantly influenced by time stress factor which might be explained by the constructural factor adopted in the present study. As in the previous studies, among various EEG-related measures, relative band power ratios of ${\alpha}$ and ${\beta}$ waves to sum of ${\alpha}$,${\beta}$,${\theta}$ wave powers, namely $P_{{\alpha}/({\alpha}+{\beta}+{\theta})}$ and $P_{{\beta}/({\alpha}+{\beta}+{\theta})}$ seemed to be the most effective measures to grasp variation of brain activities in time-stressed situation so that discussions were expanded about their variations.

Resource Allocation Algorithm for Multiple RIS-Assisted UAV Networks (다중 UAV-RIS 네트워크를 위한 자원 할당 알고리즘)

  • Heejae Park;Laihyuk Park
    • Journal of Platform Technology
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    • v.11 no.1
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    • pp.3-10
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    • 2023
  • Unmanned Aerial Vehicles (UAVs) have gained significant attention in 5G and 6G wireless networks due to their high flexibility and low hardware costs. However, UAV communication is still challenged by blockage and energy consumption issues. Reconfigurable Intelligent Surfaces (RISs) have emerged as a promising solution to these challenges, enabling improved spectral efficiency and reduced energy consumption by transmitting signals to users who cannot receive signals because of the obstacles. Many previous studies have focused on minimizing power consumption and data transmission delay through phase shift and power optimization. This paper proposes an algorithm that maximizes the sum rate by including bandwidth optimization. Simulation results demonstrate the effectiveness of the proposed algorithm.

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Energy-efficient semi-supervised learning framework for subchannel allocation in non-orthogonal multiple access systems

  • S. Devipriya;J. Martin Leo Manickam;B. Victoria Jancee
    • ETRI Journal
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    • v.45 no.6
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    • pp.963-973
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    • 2023
  • Non-orthogonal multiple access (NOMA) is considered a key candidate technology for next-generation wireless communication systems due to its high spectral efficiency and massive connectivity. Incorporating the concepts of multiple-input-multiple-output (MIMO) into NOMA can further improve the system efficiency, but the hardware complexity increases. This study develops an energy-efficient (EE) subchannel assignment framework for MIMO-NOMA systems under the quality-of-service and interference constraints. This framework handles an energy-efficient co-training-based semi-supervised learning (EE-CSL) algorithm, which utilizes a small portion of existing labeled data generated by numerical iterative algorithms for training. To improve the learning performance of the proposed EE-CSL, initial assignment is performed by a many-to-one matching (MOM) algorithm. The MOM algorithm helps achieve a low complex solution. Simulation results illustrate that a lower computational complexity of the EE-CSL algorithm helps significantly minimize the energy consumption in a network. Furthermore, the sum rate of NOMA outperforms conventional orthogonal multiple access.