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3 edition of Marginal optimal beam scheduling and space-time multiuser detection. found in the catalog.

Marginal optimal beam scheduling and space-time multiuser detection.

Eftychios S. Psimoulis

Marginal optimal beam scheduling and space-time multiuser detection.

by Eftychios S. Psimoulis

  • 136 Want to read
  • 38 Currently reading

Published by National Library of Canada in Ottawa .
Written in English


Edition Notes

Thesis (M.A.Sc.) -- University of Toronto, 2002.

SeriesCanadian theses = -- Th`eses canadiennes
The Physical Object
Pagination1 microfiche : negative.
ID Numbers
Open LibraryOL20682461M
ISBN 100612739597
OCLC/WorldCa54065929

Still, they do not provide optimal throughput performance for massive MIMO systems with a large number of antennas. Multi-user scheduling and joining user scheduling methods have been proposed recently to provide optimal scheduling in a massive MIMO downlink system [,]. Several other efficient scheduling methods are proposed in [,]. marginal space learning (MSL), for 3D object detection [1]. MSL performs parameter estimation in a series of marginal spaces with increasing dimensionality. To be specific, the task is split into three steps: object position estimation, position-orientation estima-tion, and position-orientation-scale estimation (as shown in Fig. 1). Instead of.

He co-authored two books entitled Single- and Multi-Carrier DS-CDMA - Multiuser Detection, Space-Time Spreading, Synchronization and Standards and Near-Capacity Variable-Length Coding, respectively, both of which were jointly published by John Wiley & Sons and IEEE Press. Additionally, he published 10+ book chapters.   Otherwise nonlinear beam- forming is required, a situation that is similar to nonlinear single-user equalization and nonlinear CDMA multiuser detection [30–35]. In this study, we restrict to the linear beam- former (6), because it has a low computational complexity and can readily be implemented in downlink receivers.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We investigate the problem of scheduling for the uplink of a time slotted multiuser multiple input multiple output (MIMO) system with sum capacity as the performance metric. We first consider schedul-ing users ’ transmissions for fixed transmit beamformers. Upper bounds for the sum capacity of the time slotted. Massive MIMO is the generalization of a multi-user MIMO system that serves multiple users through spatial multiplexing over a channel with favorable propagation 18 conditions using time-division duplex scheme and relying on channel reciprocity and uplink reference signals to obtain CSI of each user. The base station is equipped with N a n t e n n a s antennas to communicate with N u s e r.


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Marginal optimal beam scheduling and space-time multiuser detection by Eftychios S. Psimoulis Download PDF EPUB FB2

Group-Optimal Linear Space-Time Multiuser Detection. at a marginal cost in performance. On the analysis of switched-beam antennas for the W-CDMA downlinkApplication of antenna arrays to.

sets out the basic details of multiuser detection, starting with simple examples and progressing to state-of-the-art applications. The only prerequisites assumed are undergraduate-level probability, linear algebra, and digital communications.

The book contains over Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure Emil Bjornson, Mats Bengtsson, and Bj¨ orn Ottersten¨ Transmit beamforming is a versatile technique for signal transmission from an array of N antennas to one or multiple users [1].

In wireless communications, the goal is to increase the signal power at. Multi-Path Marginal Space Learning for Object Detection Abstract This chapter introduces a novel method for fast detection of objects with a large number of parameters.

The method is based on Marginal Space Learning (MSL), which is a learning-based optimization technique that. capacity of a multiuser MIMO scheduler in the time slot with effective signatures is given by [7] (.

" # $ % & ' (4) Formally, the sum capacity optimization problem for multiuser MIMO scheduling is given by max) * + (5) s.t., - (6) The sum capacity maximization for multiuser MIMO scheduling is a combinatorial optimization problem and has.

The proposed joint user and scheduling schemes are related to the beam selection problem in beamspace MIMO systems [21], [22], [27]–[30], or more generally antenna selection problem in MIMO systems [31].

However, the considered joint scheduling problem in beam domain is unique, in the sense that the beam magnitudes are strongly correlated. single-beam links in the presence of strong optical turbulence. We adapt a space-time block code proposed for RF wireless systems to be used with intensity-modulated optical signals, and find that significant signal-to-noise ratio gains are obtained by using a four-beam link over a single-beam link with the same total electrical power.

Optimal Beam Search for Machine Translation Alexander M. Rush Yin-Wen Chang MIT CSAIL, Cambridge, MAUSA fsrush, [email protected] Michael Collins Department of Computer Science, Columbia University, New York, NYUSA [email protected] Abstract Beam search is a fast and empirically effective method for translation.

Forecasting Real-Time Locational Marginal Price: AStateSpaceApproach Yuting Ji, Jinsub Kim, Robert J. Thomas and Lang Tong School of Electrical and Computer Engineering Cornell University, Ithaca, NY, USA.

Email: {yj, jk, rjt1,lt}@ Abstract—The problem of. On the interplay between scheduling interval and beamwidth selection for low-latency and reliable V2V mmWave communications Abstract: The interest in mmWave communications has risen sharply in the last years motivated by their widespread consideration as a technological solution capable of dealing with the stringent rate requirements currently.

Multiuser detection (MUD) techniques are known to improve the performance of CDMA cellular communication systems. This performance improvement usually comes at a large computational cost. To reduce the complexity, it has been proposed recently to exploit the spatial dimension by grouping users in clusters and apply MUD individually to each group.

This approach leads to a potentially. Due to the ability of efficiently computing true marginal mean [6], Gaussian BP has been successfully applied in many areas, such as MMSE multi-user detection, equalization and channel estimation.

In [13], we derive and analyze the optimal group-based space-time multiuser linear detector with beamforming using the formalism of [4], and demonstrate the potential in complexity reduction of. Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1].

To accurately localize a 3D object, we need to estimate nine pose parameters (three for position, three for orientation, and three for anisotropic scaling). Optimal Rate-based Scheduling on Multiprocessors⁄ Anand Srinivasan and James H. Anderson Department of Computer Science, University of North Carolina Chapel Hill, NC.

Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel Article (PDF Available) in Journal of Systems Science and Complexity 23(1) In multiuser CR networks, beamforming in conjunction with user scheduling can be used in order to select the best cognitive user to be served by the designed beamformer.

In this context, most of the contributions in the literature consider the problem of designing an efficient scheduling algorithm for the SUs in order to maximize the throughput.

Book Author(s): Prof. Lajos Hanzo FREng, FIEEE, FIET, DSc. chair enthusiastic supporter academic liaison IEEE Distinguished Lecturer Governor Editor‐in‐Chief. University of Southampton, UK.

Search for more papers by this author. Yosef (Jos) Akhtman BSc, PhD. By selecting the best group of users, multiuser scheduling can function as a soft coverage enhancement technique without increasing the extra transmission power in the physical layer.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—Opportunistic scheduling and beamforming schemes are proposed for multiuser MIMO-SDMA downlink systems with linear combining in this work.

Signals received from all antennas of each mobile terminal (MT) are linearly combined to improve the effective signal-to-noise-interference ratios (SINRs). Optimal scheduling-multiplexing for K = 2 links. In this section, we solve the problem for the simple case of two links which constitutes the basis for solving arbitrary number of links using IMLS in Section 6.

This greatly simplifies the scheduling decision and, hence, facilitates finding the optimal scheduling-MIMO stream allocation policy. Existing satellite communication standards such as DVB-S2, operate under highly-efficient adaptive coding and modulation schemes thus making significant progress in improving the spectral efficiencies of digital satellite broadcast systems.

However, the constantly increasing demand for broadband and interactive satellite links emanates the need to apply novel interference mitigation. The technique is based on joint space-time-frequency PF (STFPF) schedule that calculates the effect of cooperating set size in the network operation.

However, this strategy undoubtedly increases the fairness because of the clustering of CoMP set users but due to the use of error-free zero-delay link path (i.e. the unavailability of perfect CSI.