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Linear receivers offer a low complexity option for multi-antenna communication systems. Therefore, understanding the outage behavior of the corresponding SINR is important in a fading mobile environment. In this paper we introduce a large…

信息论 · 计算机科学 2012-09-17 Aris L. Moustakas , Pavlos Kazakopoulos

This paper studies receiver design in single-input multiple-output (SIMO) slow fading channels with imperfect channel state information (CSI) at the receiver only. Using generalized mutual information (GMI) as achievable rate, we study the…

信息论 · 计算机科学 2022-08-19 Wenyi Shi , Shuqin Pang , Wenyi Zhang

We present the derivation of post-processing SNR for Minimum-Mean-Squared-Error (MMSE) receivers with imperfect channel estimates, and show that it is an accurate indicator of the error rate performance of MIMO systems in the presence of…

性能 · 计算机科学 2016-11-15 Eren Eraslan , Babak Daneshrad , Chung-Yu Lou

Linear receivers are considered as an attractive low-complexity alternative to optimal processing for multi-antenna MIMO communications. In this paper we characterize the performance of MMSE MIMO receivers in the limit of large antenna…

信息论 · 计算机科学 2016-11-17 Aris L. Moustakas , K Raj Kumar , Giuseppe Caire

Linear receivers are an attractive low-complexity alternative to optimal processing for multi-antenna MIMO communications. In this paper we characterize the information-theoretic performance of MIMO linear receivers in two different…

信息论 · 计算机科学 2016-11-18 K. Raj Kumar , G. Caire , A. L. Moustakas

The minimum mean-squared error (MMSE) is one of the most popular criteria for Bayesian estimation. Conversely, the signal-to-noise ratio (SNR) is a typical performance criterion in communications, radar, and generally detection theory. In…

信息论 · 计算机科学 2016-10-12 Luca Rugini , Paolo Banelli

Consider the minimum mean-square error (MMSE) of estimating an arbitrary random variable from its observation contaminated by Gaussian noise. The MMSE can be regarded as a function of the signal-to-noise ratio (SNR) as well as a functional…

信息论 · 计算机科学 2010-04-21 Dongning Guo , Yihong Wu , Shlomo Shamai , Sergio Verdu

Meta distribution is a fine-grained unified performance metric that enables us to evaluate the {reliability and latency} of next generation wireless networks, in addition to the conventional coverage probability. In this paper, using…

信号处理 · 电气工程与系统科学 2019-12-10 Hazem Ibrahim , Hina Tabassum , Uyen T. Nguyen

We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where the channel between each transmitter and the receiver is modeled by the doubly-scattering channel model. Based on novel techniques from random matrix…

信息论 · 计算机科学 2011-05-11 Jakob Hoydis , Romain Couillet , Merouane Debbah

We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically tight deterministic approximations of their moments. This random matrix…

信息论 · 计算机科学 2016-11-15 Jakob Hoydis , Merouane Debbah , Mari Kobayashi

The outage performance of multiple-input multiple-output (MIMO) technique has received intense attention in order to ensure the reliability requirement for mission-critical machine-type communication (cMTC) applications. In this paper, the…

信息论 · 计算机科学 2020-07-07 Guanghua Yang , Huan Zhang , Zheng Shi , Shaodan Ma , Hong Wang

An asymptotic technique is presented to characterize the bits/symbol achievable on a representative wireless link in a spatially distributed network with active interferers at correlated positions, N receive diversity branches, and linear…

信息论 · 计算机科学 2013-12-30 Siddhartan Govindasamy

Consider a multiuser system where an arbitrary number of users communicate with a distributed receive array over independent Rayleigh fading paths. The receive array performs minimum mean squared error (MMSE) or zero forcing (ZF) combining…

信息论 · 计算机科学 2013-10-21 Dushyantha A. Basnayaka , Peter J. Smith , Phillipa A. Martin

Detailed derivations of two bounds of the minimum mean-square error (MMSE) of complex-valued multiple-input multiple-output (MIMO) systems are proposed for performance evaluation. Particularly, the lower bound is derived based on a…

信息论 · 计算机科学 2021-11-29 Chongjun Ouyang , Hongwen Yang

To enhance the robustness and resilience of wireless communication and meet performance requirements, various environment-reflecting metrics, such as the signal-to-noise ratio (SNR), are utilized as the system parameter. To obtain these…

信号处理 · 电气工程与系统科学 2026-01-16 Hanyoung Park , Ji-Woong Choi

In this paper, we propose a sparse signal estimation algorithm that is suitable for many wireless communication systems, especially for the future millimeter wave and underwater communication systems. This algorithm is not only…

信息论 · 计算机科学 2018-07-20 Chongwen Huang , Lei Liu , Chau Yuen

The minimum average signal-to-noise ratio (SNR) per bit required for error-free transmission over a fading channel is derived, and is shown to be equal to that of the additive white Gaussian noise (AWGN) channel, which is $-1.6$ dB.…

信息论 · 计算机科学 2017-11-29 K. Vasudevan

This paper is devoted to the performance study of the Linear Minimum Mean Squared Error estimator for multidimensional signals in the large dimension regime. Such an estimator is frequently encountered in wireless communications and in…

信息论 · 计算机科学 2008-10-13 Abla Kammoun , Malika Kharouf , Walid Hachem , Jamal Najim

Minimizing the symbol error in the uplink of multi-user multiple input multiple output systems is important, because the symbol error affects the achieved signal-to-interference-plus-noise ratio (SINR) and thereby the spectral efficiency of…

信号处理 · 电气工程与系统科学 2022-03-25 Gábor Fodor , Sebastian Fodor , Miklós Telek

This paper focuses on boosting the performance of small cell networks (SCNs) by integrating multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) in consideration of imperfect channel-state information (CSI). The…

信息论 · 计算机科学 2022-09-26 Zheng Shi , Hong Wang , Yaru Fu , Guanghua Yang , Shaodan Ma , Xinrong Ye
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