On the capacity of multi-antenna Gaussian channels

Chiurtu, N.; Rimoldi, Bixio; Telatar, Emre

doi:10.1109/isit.2001.935916

Cited by 77 publications

(33 citation statements)

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“…Equation (25) in Appendix A is commonly used to calculate the capacity of a MIMO system [14]. The recent study [15] has shown that if µ > λ −1 i using water-filling, the maximum capacity is obtained when the condition number of the matrixH † ·H is minimum.…”

Section: Theoretical Derivationmentioning

confidence: 99%

A Novel Multiport Matching Method for Maximum Capacity of an Indoor Mimo System

Yu¹,

Wang²,

Wang³

et al. 2012

PIER

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Abstract-A novel multiport matching method is devised to directly maximize the mean capacity with rigorous consideration of the mutual coupling effects of the matching network. In the RF front end of the real communication circuits, the mutual couplings always exist. In this paper, 1) a theoretical capacity upper bound of the 2-by-2 MIMO system with a matching network using the water-filling as the power allocation rule is analytically derived for the first time, 2) the Genetic Algorithm is employed to optimize the parameters of the matching network for the maximization of the mean capacity, 3) a coupled microstrip lines structure is devised to implement the matching network of the real MIMO receiving circuits by this matching method. The numerical results in the last section demonstrate that an optimized matching network obtained using our novel MPM method is capable to enhance the performance of the MIMO systems in a range of different indoor environments. This verifies that our method is not only effective but also practical.

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Section: Theoretical Derivationmentioning

confidence: 99%

A Novel Multiport Matching Method for Maximum Capacity of an Indoor Mimo System

Yu¹,

Wang²,

Wang³

et al. 2012

PIER

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“…explicitly, information theoretic studies [8] have revealed that a MIMO system has a higher capacity than a single-input singleoutput (SISO) system. Substantial throughput improvements can be attained using a multi-layer MIMO structure designed for achieving a multiplexing gain, which is known as the Vertical Bell Labs Layered Space-Time (V-BLAST) scheme [9].…”

Section: Motivation and Backgroundmentioning

confidence: 99%

Self-Concatenated Coding and Multi-Functional MIMO Aided H.264 Video Telephony

Nasruminallah

Butt

El‐Hajjar

et al. 2011

2011 IEEE Vehicular Technology Conference (VTC Fall)

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Abstract-Robust video transmission using iteratively detected Self-Concatenated Coding (SCC), multi-dimensional Sphere Packing (SP) modulation and Layered Steered Space-Time Coding (LSSTC) is proposed for H.264 coded video transmission over correlated Rayleigh fading channels. The self-concatenated convolutional coding (SECCC) scheme is composed of a Recursive Systematic Convolutional (RSC) code and an interleaver, which is used to randomise the extrinsic information exchanged between the self-concatenated constituent RSC codes. Additionally, a puncturer is employed for improving the achievable bandwidth efficiency. The convergence behaviour of the MIMO transceiver advocated is investigated with the aid of Extrinsic Information Transfer (EXIT) charts. The proposed system exhibits an E b /N0 gain of about 9 dB at the PSNR degradation point of 1 dB in comparison to the identical-rate benchmarker scheme. I. MOTIVATION AND BACKGROUNDBandwidth is a valuable commodity and therefore the information has to be transmitted over the communication channel as bandwidth-efficiently as possible. Therefore, the state-ofthe-art multimedia coding standards primarily aim for a high compression efficiency [1]. However, the higher the coding efficiency, the more grave are the effects of transmission errors imposed on the video signal [2]. Hence, in order to protect the source coded stream from the effects of channel errors, powerful channel coding has to be applied, which introduces artificial redundancy in the source coded stream and is used for eliminating the channel-induced errors. Therefore, the error resilience is typically increased at the cost of a compromise in terms of coding efficiency.The discovery of turbo codes made communications close to the Shannon limit feasible. The turbo principle of exchanging extrinsic information has been effectively utilised for diverse combinations of codes in order to improve the attainable error resilience. In recent years, intensive research efforts have been invested in the design of concatenated coding schemes, a philosophy, which was originally proposed by Forney [3]. The turbo principle of parallel concatenated convolutional codes (PCCCs or turbo codes) employs two or more constituent codes, which exchange extrinsic information in order to operate near the Shannon limit [4,5], as detailed in [6].Additionally, the limitations of wireless transmissions imposed by time-varying multipath fading can be mitigated using multiple-input multiple-output (MIMO) schemes [7]. MoreThe financial support of the following projects and organizations is gratefully acknowledged: University of Engineering and Technology Peshawar; COMSATS Institute of Information Technology Islamabad, Pakistan; the EU' CONCERTO Project; RC-UK under the auspicies of the IU-ATC.explicitly, information theoretic studies [8] have revealed that a MIMO system has a higher capacity than a single-input singleoutput (SISO) system. Substantial throughput improvements can be attained using a multi-layer MIMO structure designed for ac...

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“…This concept was inspired by carefully evaluating the signal separation experiments carried out by Paulraj and Kailath [2]. In the late 90s, as the integrated circuits and radio-frequency electronics have advanced in parallel to the increasing tele-traffic demands, the research of MIMO systems was further fuelled by the pioneering work of Foschini [3,4] and Telatar [5]. The fundamental philosophy was centered around efficient space-time signal processing [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Multiple-Symbol Joint Signal Processing for Differentially Encoded Single- and Multi-Carrier Communications: Principles, Designs and Applications

Wang

et al. 2014

IEEE Commun. Surv. Tutorials

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Abstract-Bypassing the potentially excessive-complexity and yet inaccurate channel estimation, differentially encoded modulation in conjunction with low-complexity non-coherent detection constitutes a viable candidate for future multiple-antenna aided systems, where estimating all the links may become unrealistic, especially in high-speed environments. Upon exploiting the correlation between the phase distortions experienced by the consecutively transmitted symbols and/or based on mutually and iteratively utilizing the increasingly improved bit reliability information among the associated multiple symbols in the context of differentially modulated systems using channel code aided iterative receivers, the joint processing on consecutively received multiple symbols improves the system's performance. For example, an increased robustness against rapid channel fluctuation, improved flexibility in the system's performancecomplexity compromise as well as a reduced performance loss is achieved in comparison to its coherent detection aided counterpart. In order to stimulate further research on differentially modulated systems and on the associated multiple-symbol signal processing based advanced receiver design, a comprehensive review on their related concepts and fundamental principles is carried out in this treatise, followed by a number of potential challenges encountered in their practical implementations in future high-spectral-efficiency wireless transmissions, such as their applications in high-order differentially modulated systems and in differential interference suppression of spatial-division multiplexing/multiple access scenarios.

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On the capacity of multi-antenna Gaussian channels

Cited by 77 publications

References 1 publication

A Novel Multiport Matching Method for Maximum Capacity of an Indoor Mimo System

A Novel Multiport Matching Method for Maximum Capacity of an Indoor Mimo System

Self-Concatenated Coding and Multi-Functional MIMO Aided H.264 Video Telephony

Multiple-Symbol Joint Signal Processing for Differentially Encoded Single- and Multi-Carrier Communications: Principles, Designs and Applications

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