• Publications
  • Influence
Random Matrix Theory and Wireless Communications
  • A. Tulino, S. Verdú
  • Computer Science, Mathematics
  • Found. Trends Commun. Inf. Theory
  • 28 June 2004
TLDR
Random matrix theory has found many applications in physics, statistics and engineering since its inception. Expand
  • 1,397
  • 103
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Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
TLDR
The mutual information of independent parallel Gaussian-noise channels is maximized, under an average power constraint, by independent Gaussian inputs whose power is allocated according to the waterfilling policy. Expand
  • 433
  • 61
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Impact of antenna correlation on the capacity of multiantenna channels
TLDR
This paper applies random matrix theory to obtain analytical characterizations of the capacity and spectral efficiency (achieved by an isotropic input) of correlated multiantenna channels. Expand
  • 389
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Multiple-antenna capacity in the low-power regime
TLDR
This paper provides analytical characterizations of the impact on the multiple-antenna capacity of several important features that fall outside the standard multiple-Antenna model, namely: antenna correlation, Ricean factors, polarization diversity, and out-of-cell interference; all in the regime of low signal-to-noise ratio. Expand
  • 317
  • 25
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Order-Optimal Rate of Caching and Coded Multicasting With Random Demands
TLDR
In this paper, we consider the random demand setting and, for the special yet relevant case of a Zipf demand distribution, we provide a comprehensive characterization of the order-optimal rate for all regimes of the system parameters, as well as an explicit placement and delivery scheme achieving order-Optimal rates. Expand
  • 187
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Capacity of multiple-transmit multiple-receive antenna architectures
TLDR
The capacity of wireless communication architectures equipped with multiple transmit and receive antennas and impaired by both noise and cochannel interference is studied. Expand
  • 194
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Capacity-achieving input covariance for single-user multi-antenna channels
TLDR
We characterize the capacity-achieving input covariance for multi-antenna channels known instantaneously at the receiver and in distribution at the transmitter and present an iterative algorithm that exhibits remarkable properties: universal applicability, robustness and rapid convergence. Expand
  • 206
  • 12
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Achievable Sum Rate of MIMO MMSE Receivers: A General Analytic Framework
TLDR
This paper investigates the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers and the ergodic mutual information achieved with optimal receivers. Expand
  • 109
  • 12
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High-SNR power offset in multiantenna communication
TLDR
This paper advocates a more refined characterization whereby, as a function of SNR|/sub dB/, the high-SNR capacity is expanded as an affine function where the impact of channel features such as antenna correlation, unfaded components, etc., resides in the zero-order term or power offset. Expand
  • 265
  • 11
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Network MIMO With Linear Zero-Forcing Beamforming: Large System Analysis, Impact of Channel Estimation, and Reduced-Complexity Scheduling
TLDR
We consider the downlink of a multicell system with multiantenna base stations and single-antenna user terminals, arbitrary base station cooperation clusters, distance-dependent propagation pathloss, and general “fairness requirements. Expand
  • 248
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