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相关论文: LLL Reduction Achieves the Receive Diversity in MI…

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In this paper, the inherent drawbacks of the naive lattice decoding for MIMO fading systems is investigated. We show that using the naive lattice decoding for MIMO systems has considerable deficiencies in terms of the rate-diversity…

信息论 · 计算机科学 2007-09-04 Mahmoud Taherzadeh , Amir K. Khandani

Lattice reduction algorithms, such as the LLL algorithm, have been proposed as preprocessing tools in order to enhance the performance of suboptimal receivers in MIMO communications. In this paper we introduce a new kind of lattice…

信息论 · 计算机科学 2010-01-12 Laura Luzzi , Ghaya Rekaya-Ben Othman , Jean-Claude Belfiore

Recently, lattice-reduction-aided detectors have been proposed for multiple-input multiple-output (MIMO) systems to give performance with full diversity like maximum likelihood receiver, and yet with complexity similar to linear receivers.…

数据结构与算法 · 计算机科学 2007-07-13 Ying Hung Gan , Cong Ling , Wai Ho Mow

Lattice reduction (LR) aided multiple-input-multiple-out (MIMO) linear detection can achieve the maximum receive diversity of the maximum likelihood detection (MLD). By emloying the most commonly used Lenstra, Lenstra, and L. Lovasz (LLL)…

信息论 · 计算机科学 2013-04-25 Keke Zu , Rodrigo C. de Lamare

A simple scheme for communication over MIMO broadcast channels is introduced which adopts the lattice reduction technique to improve the naive channel inversion method. Lattice basis reduction helps us to reduce the average transmitted…

信息论 · 计算机科学 2016-11-15 Mahmoud Taherzadeh , Amin Mobasher , Amir K. Khandani

This paper considers a multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, the paper presents a new MIMO detection approach using coding theory. The principal idea of the…

信息论 · 计算机科学 2016-10-26 Song-Nam Hong , Yo-Seb Jeon , Namyoon Lee

Multiple Input Multiple Output (MIMO) systems have recently emerged as a key technology in wireless communication systems for increasing both data rates and system performance. There are many schemes that can be applied to MIMO systems such…

网络与互联网体系结构 · 计算机科学 2010-02-23 Nirmalendu Bikas Sinha , S. Chakraborty , P. K. Sutradhar , R. Bera , M. Mitra

In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with the spectral efficiency. The current state of the art in MIMO…

信息论 · 计算机科学 2007-07-13 Massimiliano Siti , Michael P. Fitz

Multiple input multiple output (MIMO) system transmission is a popular diversity technique to improve the reliability of a communication system where transmitter, communication channel and receiver are the important elements. Data…

信号处理 · 电气工程与系统科学 2020-05-06 Subrato Bharati , Prajoy Podder , Niketa Gandhi , Ajith Abraham

The work identifies the first general, explicit, and non-random MIMO encoder-decoder structures that guarantee optimality with respect to the diversity-multiplexing tradeoff (DMT), without employing a computationally expensive…

信息论 · 计算机科学 2016-11-18 Joakim Jalden , Petros Elia

For ergodic fading, a lattice coding and decoding strategy is proposed and its performance is analyzed for the single-input single-output (SISO) and multiple-input multiple-output (MIMO) point-to-point channel as well as the multiple-access…

信息论 · 计算机科学 2017-02-28 Ahmed Hindy , Aria Nosratinia

Wireless communication is the fastest growing area of the communication industry. To keep swiftness with the indefinite increase in customers' demands and expectations, and the market competition among companies for the services…

网络与互联网体系结构 · 计算机科学 2012-04-27 Shrikrishan Yadav , Shuchi Jani , B. L. Pal

In this paper, the asymptotic performance of the lattice sequential decoder for LAttice Space-Time (LAST) coded MIMO channel is analyzed. We determine the rates achievable by lattice coding and sequential decoding applied to such a channel.…

信息论 · 计算机科学 2015-03-17 Walid Abediseid , Mohamed Oussama Damen

Multiple-input multiple-output (MIMO) system is the key technology for long term evolution (LTE) and 5G. The information detection problem at the receiver side is in general difficult due to the imbalance of decoding complexity and decoding…

信号处理 · 电气工程与系统科学 2019-03-20 Qian Chen , Shunqing Zhang , Shugong Xu , Shan Cao

A new architecture called integer-forcing (IF) linear receiver has been recently proposed for multiple-input multiple-output (MIMO) fading channels, wherein an appropriate integer linear combination of the received symbols has to be…

信息论 · 计算机科学 2013-07-16 Amin Sakzad , J. Harshan , Emanuele Viterbo

In this paper, we propose a new detection technique for multiuser multiple-input multiple-output (MU-MIMO) systems. The proposed scheme combines a lattice reduction (LR) transformation, which makes the channel matrix nearly orthogonal, and…

信息论 · 计算机科学 2014-12-09 L. Arevalo , R. C. de Lamare , R. Sampaio-Neto

Recently, the remarkable potential of a multiple-input multiple-output (MIMO) wireless communication system was unveiled for its ability to provide spatial diversity or multiplexing gains. For MIMO diversity schemes, it is already known…

信息论 · 计算机科学 2007-07-13 Hongyuan Zhang , Huaiyu Dai , Quan Zhou , Brian L. Hughes

The fundamental and natural connection between the infinite constellation (IC) dimension and the best diversity order it can achieve is investigated in this paper. In the first part of this work we develop an upper bound on the diversity…

信息论 · 计算机科学 2015-03-19 Yair Yona , Meir Feder

In this paper, we analyze the fundamental tradeoff of diversity and multiplexing in multi-input multi-output (MIMO) channels with imperfect channel state information at the transmitter (CSIT). We show that with imperfect CSIT, a higher…

信息论 · 计算机科学 2009-08-16 Xiao Juan Zhang , Yi Gong

We develop a framework to optimize the tradeoff between diversity, multiplexing, and delay in MIMO systems to minimize end-to-end distortion. We first focus on the diversity-multiplexing tradeoff in MIMO systems, and develop analytical…

信息论 · 计算机科学 2008-04-09 Tim Holliday , Andrea J. Goldsmith , H. Vincent Poor
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