Results 141 to 150 of about 3,661 (180)
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Bandwidth-SINR Tradeoffs in Spatial Networks
2007 IEEE International Symposium on Information Theory, 2007This paper addresses the following question, which is of interest in the design of a multiuser decentralized network: given a total system bandwidth of W Hz and a fixed data rate constraint of R bps for each transmission, how many frequency slots N of size W/N should the band be partitioned into to maximize the number of simultaneous transmissions in ...
Nihar Jindal +2 more
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Prefiltered Turbo Equalization With SINR Mismatch
2007 4th International Symposium on Wireless Communication Systems, 2007In this paper, we consider the use of a channel shortening prefilter in conjunction with a turbo equalizer, in order to allow its use with arbitrarily long channel impulse responses. We show that the residual intersymbol interference (ISI), caused by imperfect channel shortening, results in considerable performance loss.
Asri Shaheem +2 more
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Exploiting Geometry in the SINR$$_k$$ Model
2015We introduce the SINR\(_k\) model, which is a practical version of the SINR model. In the SINR\(_k\) model, in order to determine whether \(s\)’s signal is received at \(c\), where \(s\) is a sender and \(c\) is a receiver, one only considers the \(k\) most significant senders w.r.t. to \(c\) (other than \(s\)).
Rom Aschner +2 more
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Discrete worst-case SINR-maximization
2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB), 2017The maximization of the signal-to-interference-and-noise ratio (SINR) is a common objective for receive beamforming in wireless communications. In this paper, two specifications on this problem are dealt with. Firstly, we consider a beamforming architecture with finite resolution phase-shifters and amplifiers, i.e., the set of feasible beamformers is ...
Johannes Israel, Andreas Fischer 0004
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SINR Maps: Properties and Applications
2011Most algorithmic studies in wireless networking to date employ simplified graphbased models such as the unit disk graph (UDG) model. These models conveniently abstract away complications stemming from interference and attenuation, and thus make it easier to deal with algorithmic issues.
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SINR analysis in persymmetric adaptive processing
2016 IEEE Statistical Signal Processing Workshop (SSP), 2016We study the normalized output signal-to-interference-plus-noise ratio (SINR) of a sample matrix inversion (SMI) beamformer with exploiting a priori information on persymmetric structures in the received signal. An exact expression for the expectation of the normalized output SINR (i.e., average S-INR loss) of the persymmetric SMI beamformer is ...
Jun Liu 0004 +3 more
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An Eavesdropping Game with SINR as an Objective Function
2009We examine eavesdropping over wireless channels, where secret communication in the presence of an eavesdropper is formulated as a zero-sum game. In our problem, the legitimate receiver does not have complete knowledge about the environment, i.e. does not know the exact values of the channels gains, but instead knows just their distribution.
Andrey Garnaev, Wade Trappe
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NDA estimation of SINR for QAM signals
IEEE Communications Letters, 2005Estimation of signal-to-interference-plus-noise ratio in a system using quadrature amplitude modulation is studied. Non-data-aided moment-based estimators are derived for a slowly fading channel under two conditions. The biases and the root mean square errors of the estimators are examined.
Yunfei Chen 0001, Norman C. Beaulieu
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On the Distribution of SINR for MMSE MIMO Systems
IEEE Transactions on Communications, 2019While the performance analysis of linear zero-forcing (ZF) and minimum mean-square error (MMSE) receivers has received much attention, there has been no exact closed-form distribution of signal-to-interference-plus-noise ratio (SINR) for MMSE multiple-input multiple-output (MIMO) systems in the arbitrary fading environments for over the past 20 years ...
Hyeongyong Lim, Dongweon Yoon
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Broadcast in the Ad Hoc SINR Model
2013An increasing amount of attention is being turned toward the study of distributed algorithms in wireless network models based on calculations of the signal to noise and interference ratio SINR. In this paper we introduce the ad hoc SINR model, which, we argue, reduces the gap between theory results and real world deployment.
Sebastian Daum +3 more
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