Research and Markets: This Valuable Resource will Appeal to Engineers, Developers and Consultants Involved in the Design and Implementation of Space-Time Processing for MIMO Communications.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c23115) has announced the addition of Space-Time Processing for MIMO (Multiple Input/Multiple Output) Pronounced "my-mo," it is the use of multiple transmitters and receivers (multiple antennas) on wireless devices for improved performance. Communications to their offering. Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wire line systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications wireless communications System using radio-frequency, infrared, microwave, or other types of electromagnetic or acoustic waves in place of wires, cables, or fibre optics to transmit signals or data. research has drawn remarkable interest in recent years. Exciting theoretical advances have been complemented by rapid transition of research results to industry products and services, thus creating a vibrant new area. Space-time processing is a broad area, owing in part to the underlying convergence of information theory, communications and signal processing See DSP. research that brought it to fruition. This book presents a balanced and timely introduction to space-time processing for MIMO communications, including highlights of emerging trends, such as spatial multiplexing Spatial multiplexing is a transmission technique in MIMO wireless communication to transmit independent and separately encoded data signals, so called streams, from each of the multiple transmit antennas. and joint transceiver optimization. --Includes detailed coverage of wireless channel sounding, modeling, characterization and model validation. --Provides state-of-the-art research results on space-time coding, including comprehensive tutorial coverage of orthogonal space-time block codes. --Discusses important recent developments in spatial multiplexing, transmit beam-forming, pre-coding and joint transceiver design for the multi-user MIMO Multi-user MIMO (MU-MIMO) is a set of advanced MIMO technology that exploits the multiple user degree of freedom, whereas (single-user) MIMO makes good use of the multiple antenna degree of freedom. downlink using full or partial CSI CSI Crime Scene Investigator CSI CompuServe, Inc. CSI Commodity Systems, Inc. CSI Commodity Systems Inc. (Boca Raton, FL) CSI Crime Scene Investigation (CBS TV show) CSI Christian Schools International . --Illustrates all theory with numerous examples gleaned from cutting-edge research from around the globe. This valuable resource will appeal to engineers, developers and consultants involved in the design and implementation of space-time processing for MIMO communications. Its accessible format, amply illustrated with real world case studies, contains relevant, detailed advice for postgraduate students and researchers specializing in this field. Contents are entitled as follows: --1 MIMO Wireless Channel Modeling and Experimental Characterization (Michael A. Jensen and Jon W. Wallace --2 Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding (Xiangqian Liu, Nikos D. Sidiropoulos, and Tao Jiang --3 Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems (Ming Kang, Lin Yang, and Mohamed-Slim Alouini). --4 Recent Advances in Orthogonal Space-Time Block Coding (Mohammad Gharavi-Alkhansari, Alex B. Gershman, and Shahram Shahbazpanahi --5 Trace-Orthogonal Full Diversity Cyclotomic Space-Time Codes (Jian-Kang Zhang, Jing jing (jing) [Chinese] one of the basic substances that according to traditional Chinese medicine pervade the body, usually translated as "essence"; the body reserves or constitutional makeup, replenished by food and rest, that supports Liu, and Kon Max Wong --6 Linear and Dirty-Paper Techniques for the Multiuser Two or more users. MIMO Downlink (Christian B. Peel, Quentin H. Spencer, A. Lee Swindlehurst, Martin Haardt, and Bertrand M. Hochwald --7 Antenna Subset Selection in MIMO Communication Systems (Alexei Gorokhov, Dhananjay A. Gore, and Arogyaswami J. Paulraj --8 Convex Optimization Convex optimization is a subfield of mathematical optimization. Given a real vector space together with a convex, real-valued function--9 MIMO Communications with Partial Channel State Information (Shengli Zhou and Georgios B. Giannakis. . For more information visit http://www.researchandmarkets.com/reports/c23115. |
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together with a convex, real-valued function
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