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Author: Milos Jorgovanovic
Publisher:
ISBN:
Category :
Languages : en
Pages : 124
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Author: Milos Jorgovanovic
Publisher:
ISBN:
Category :
Languages : en
Pages : 124
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Author: Chen Shen
Publisher:
ISBN:
Category :
Languages : en
Pages : 63
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Abstract: Multiple-input multiple-output (MIMO) technique in communication system has been widely researched. Compared with single-input single-output (SISO) communication, its properties of higher throughput, more ecient spectrum and usage make it one of the most significant technology in modern wireless communications. In MIMO system, sphere detection is the fundamental part. The purpose of traditional sphere detection is to achieve the maximum likelihood (ML) demodulation of the MIMO system. However, with the development of advanced forward error correction (FEC) techniques, such as the Convolutional code, Turbo code and LDPC code, the sphere detection algorithms that can provide soft information for the outer decoder attract more interests recently. Considering the computing complexity of generating the soft information, it is important to develop a high-speed VLSI architecture for MIMO detection. The first part of this thesis is about MIMO sphere detection algorithms. Two sphere detection algorithms are introduced. The depth first Schnorr-Euchner (SE) algorithm which generates the ML detection solution and the width first K-BEST algorithm which only generates the nearly-ML detection solution but more efficient in implementation are presented. Based on these algorithms, an improved nearly-ML algorithm with lower complexity and limited performance lose, compared with traditional K-BEST algorithms, is presented. The second part is focused on the hardware design. A 4*4 16-QAM MIMO detection system which can generate both soft information and hard decision solution is designed and implemented in FPGA. With the fully pipelined and parallel structure, it can achieve a throughput of 3.7 Gbps. In this part, the improved nearly-ML algorithm is implmented as a detector to generat both the hard output and candidate list. Then, a soft information calculation block is designed to succeed the detector and produce the log-likelihood ratio (LLR) values for every bit as the soft output.
Author: Zhiyuan Wu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Lajos L. Hanzo
Publisher: Wiley-IEEE Press
ISBN: 9780470779651
Category : Technology & Engineering
Languages : en
Pages : 738
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Providing an all-encompassing self-contained treatment of Near-Capacity Multi-Functional MIMO Systems , the book starts by categorizing the family of Multiple-Input Multiple-Output (MIMO) schemes as diversity techniques, multiplexing schemes, multiple access arrangements and beam-forming techniques. Sophisticated coherent and low-complexity non-coherent MIMO receivers dispensing with channel estimation are considered in both classic and cooperation-aided scenarios. It is demonstrated that in the presence of correlated shadow-fading, cooperation-assisted systems may be expected to outperform their non-cooperative counterparts. The book contains a 100-page chapter on the unified treatment of all block codes in the context of high-flexibility, cutting-edge irregular Linear Dispersion Codes (LDC), which approach the MIMO-capacity. The majority of the book’s solutions are in the optimum sphere-packing frame-work. Sophisticated amalgam of five year’s near-capacity MIMO research Detailed examination of wireless landscape, including the fields of channel coding, spacetime coding and turbo detection techniques Novel tool of Extrinsic Information Transfer Charts (EXIT) used to address recent developments Material presented logically, allowing advanced readers to turn directly to any specific chapter of interest One of the only books to cover these subjects, giving equal weighting to each
Author: Ibrahim A. Bello
Publisher: Springer Nature
ISBN: 3031045122
Category : Technology & Engineering
Languages : en
Pages : 162
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This book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation and modelling steps and register transfer level modelling using hardware description languages. Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail; Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput; Discusses design tradeoffs that will guide readers’ efforts when implementing MIMO algorithms in hardware; Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements.
Author: 黃淳賢
Publisher:
ISBN:
Category :
Languages : en
Pages : 68
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Author: M. Riduan
Publisher:
ISBN:
Category : Technology
Languages : en
Pages :
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Cooperative MIMO Systems in Wireless Sensor Networks.
Author: Jun Zheng
Publisher:
ISBN:
Category :
Languages : en
Pages : 228
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Using multiple antennas at both the transmitter and the receiver is one of the most promising techniques that can offer significant increases in channel capacity of a communication system in a wireless fading environment. However, the performance of the MIMO system depends heavily upon the availability of the channel state information (CSI) at the transmitter (CSIT) and at the receiver (CSIR). In this dissertation, we focus our attention on the design and analysis of MIMO systems over wireless fading channels with practical CSI assumptions, which can broadly be divided into the following two categories. The first part considers the development of a general framework for the analysis of multiple antenna systems with finite-rate feedback, wherein the CSI is quantized at the receiver and conveyed back to the transmitter through a rate-constrained reverse link. Inspired by the results of classical high resolution quantization theory, the problem of finite rate quantized communication system is formulated as a general fixed-rate vector quantization problem with side information available at the encoder (or the quantizer) but unavailable at the decoder. The framework of the quantization problem is sufficiently general to include quantization schemes with general non-mean square distortion functions, and constrained source vectors. Asymptotic distortion analysis of the proposed general quantization problem is provided by extending the vector version of the Bennett's integral. Specifically, tight lower and upper bounds of the average asymptotic distortion are provided together with useful insights from a source coding perspective. The proposed general methodology provides a powerful analytical tool to study a wide range of finite-rate feedback systems which includes both MISO systems over spatially correlated fading channels and MIMO systems over i.i.d. fading channels. The established framework is also versatile enough to provide analysis of sub-optimal mismatched CSI quantizers and quantizers with transformed codebooks. The second part of this dissertation is focused the on the design and analysis of MIMO systems over fading channels with CSI unavailable both at the transmitter and at the receiver. To be specific, we first provide an improved capacity lower bound for MIMO systems with unknown CSI. By analyzing (and optimizing) the proposed capacity lower bound with respect to different system parameters, we improve our intuition and understanding of the effects of training on the overall performance of MIMO systems under unknown CSI assumptions. Moreover, based on the capacity analysis results, we also provide the design of practical LDPC-coded MIMO systems under the same unknown CSI assumption at both component level and structural level. We first propose at the component level several soft-input soft-output MIMO detectors whose performances are much better than the conventional MMSE-based detectors. At the structural level, an unconventional iterative decoding scheme is proposed whose structure leads to a simple and efficient LDPC code degree profile optimization algorithm with proven global optimality and guaranteed convergence from any initialization.
Author: Chung-An Shen
Publisher:
ISBN: 9781267256553
Category :
Languages : en
Pages : 134
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In the past few years, Multiple-Input Multiple-Output (MIMO) communication has been recognized as a promising technology to improve the quality of service and/or to achieve high data rate for wireless communication systems. It has also been adopted as part of a number of industry standards such as WiMAX, LTE, and the next generation WLAN (802.11n). However, the lucrative features of MIMO communications come along with the costs of significantly increased system complexity, including area, as well as power consumption. Thus, in MIMO systems, it is always a challenge for researchers and engineers to design a receiver structure that can achieve optimal quality of reception with manageable system complexity. In this thesis, we present efficient design for the spatial multiplexing MIMO receivers at both the algorithm and VLSI architecture levels. We consider that the MIMO detector and the channel decoder are two major blocks and attempt to optimize them in a joint sense. First of all, we focus on the design of MIMO detector and propose two approaches. The first design presents a novel algorithm and architecture for K-Best detection. The algorithm examines a much smaller subset of points in the tree structure as compared to conventional K-Best detector; while still achieving near-optimal performance. The VLSI architecture of the detector is based on a pipelined sorter-free scheme such that high throughput and low complexity is achieved. The proposed K-Best detector is designed to support a 4 x 4 64-QAM system and can achieve an average throughput of 285.8 Mbps at 25 dB SNR with 210 Kgates area at 12.8 mW power consumption. The second design demonstrates an algorithm and VLSI architecture of combining the features of classical depth-first and breadth-first methods. Techniques to reduce complexity while providing both hard and soft output detection are also presented. This detector supports a 4 x 4 64-QAM system and can achieve an average throughput of 257.8 Mbps at 24 dB SNR with an area equivalent to 54.2 Kgates and a power consumption of 7.26 mW for hard output scheme. For the soft output scheme it achieves an average throughput of 83.3 Mbps across the SNR range of interest with an area equivalent to 64 Kgates and a power consumption of 11.5 mW. Finally we present an approach to perform joint detection and decoding for MIMO systems which utilize convolutional codes. The BER performance of this approach is significantly better than that of systems which utilize separate detection and decoding blocks. In particular, for a reference 4x4, 16-QAM system using a rate 1/2 convolutional code with generator polynomial [247,371] and a constraint length of 8, improvements in SNR of 2.5dB and 3dB are achieved over conventional soft decoding at a BER of 10−5. The proof of concept VLSI architecture is provided and a novel way to reduce memory usage is demonstrated. The proposed design can achieve an average throughput of 216.9 Mbps at a SNR of 13 dB with area equivalent to 553 Kgates.
Author: Li Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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