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Related papers: Capacity Limits and Multiplexing Gains of MIMO Cha…

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This paper studies the capacity of a general multiple-input multiple-output (MIMO) free-space optical intensity channel under a per-input-antenna peak-power constraint and a total average-power constraint over all input antennas. The focus…

Information Theory · Computer Science 2020-02-04 Longguang Li , Stefan M. Moser , Ligong Wang , Michèle Wigger

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…

Signal Processing · Electrical Eng. & Systems 2020-05-06 Subrato Bharati , Prajoy Podder , Niketa Gandhi , Ajith Abraham

In this work, novel upper and lower bounds for the capacity of channels with arbitrary constraints on the support of the channel input symbols are derived. As an immediate practical application, the case of multiple-input multiple-output…

Information Theory · Computer Science 2017-09-01 Alex Dytso , Mario Goldenbaum , Shlomo Shamai , H. Vincent Poor

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

Discrete-time Rayleigh fading multiple-input multiple-output (MIMO) channels are considered, with no channel state information at the transmitter and receiver. The fading is assumed to be correlated in time and independent from antenna to…

Information Theory · Computer Science 2007-07-13 Vignesh Sethuraman , Ligong Wang , Bruce Hajek , Amos Lapidoth

Radio-frequency (RF) impairments in the transceiver hardware of communication systems (e.g., phase noise (PN), high power amplifier (HPA) nonlinearities, or in-phase/quadrature-phase (I/Q) imbalance) can severely degrade the performance of…

Information Theory · Computer Science 2016-11-17 Xinlin Zhang , Michail Matthaiou , Emil Björnson , Mikael Coldrey , Mérouane Debbah

This paper studies the receive antenna selection in massive multiple-input multiple-output (MIMO) system. The receiver, equipped with a large-scale antenna array whose size is much larger than that of the transmitter, selects a subset of…

Signal Processing · Electrical Eng. & Systems 2018-10-30 Chongjun Ouyang , Zeliang Ou , Lu Zhang , Hongwen Yang

Discrete-time Rayleigh fading single-input single-output (SISO) and multiple-input multiple-output (MIMO) channels are considered, with no channel state information at the transmitter or the receiver. The fading is assumed to be stationary…

Information Theory · Computer Science 2016-11-17 Vignesh Sethuraman , Ligong Wang , Bruce Hajek , Amos Lapidoth

The capacity of a point-to-point discrete-time multi-input-multiple-output (MIMO) channel with phase uncertainty (MIMO phase noise channel) is still open. As a matter of fact, even the pre-log (multiplexing gain) of the capacity in the high…

Information Theory · Computer Science 2016-11-09 Sheng Yang , Shlomo Shamai

The use of large-scale antenna arrays can bring substantial improvements in energy and/or spectral efficiency to wireless systems due to the greatly improved spatial resolution and array gain. Recent works in the field of massive…

Information Theory · Computer Science 2014-12-10 Emil Björnson , Jakob Hoydis , Marios Kountouris , Mérouane Debbah

A multiple antenna broadcast channel with perfect channel state information at the receivers is considered. If each receiver quantizes its channel knowledge to a finite number of bits which are fed back to the transmitter, the large…

Information Theory · Computer Science 2007-07-13 Nihar Jindal

The benefit of multi-antenna receivers is investigated in wireless ad hoc networks, and the main finding is that network throughput can be made to scale linearly with the number of receive antennas nR even if each transmitting node uses…

Information Theory · Computer Science 2016-11-17 Nihar Jindal , Jeffrey G. Andrews , Steven Weber

In this paper we examine convergence properties of massive MIMO systems with the aim of determining the number of antennas required for massive MIMO gains. We consider three characteristics of a channel matrix and study their asymptotic…

Information Theory · Computer Science 2015-01-30 Peter J. Smith , Callum T. Neil , Mansoor Shafi , Pawel A. Dmochowski

We consider communication over a multiple-input single-output (MISO) block fading channel in the presence of an independent noiseless feedback link. We assume that the transmitter and receiver have no prior knowledge of the channel state…

Information Theory · Computer Science 2018-03-16 Jinyuan Chen

Distributed massive multiple-input multiple-output (MIMO) combines the array gain of coherent MIMO processing with the proximity gains of distributed antenna setups. In this paper, we analyze how transceiver hardware impairments affect the…

Information Theory · Computer Science 2015-06-04 Emil Björnson , Michail Matthaiou , Antonios Pitarokoilis , Erik G. Larsson

We establish the optimal input signaling and the capacity of MIMO channels under per-antenna power constraint. While admitting a linear eigenbeam structure, the optimal input is no longer diagonalizable by the channel right singular vectors…

Information Theory · Computer Science 2015-03-19 Mai Vu

This paper considers a deterministic physical model of massive multiple-input multiple-output (MIMO) systems with uniform linear antenna arrays. It is known that the maximum spatial degrees of freedom is achieved by spacing antenna elements…

Information Theory · Computer Science 2016-01-22 Keigo Takeuchi

This paper gives the approximate capacity region of a two-user MIMO interference channel with limited receiver cooperation, where the gap between the inner and outer bounds is in terms of the total number of receive antennas at the two…

Information Theory · Computer Science 2014-07-08 Mehdi Ashraphijuo , Vaneet Aggarwal , Xiaodong Wang

This paper investigates the limits of information transfer over a fast Rayleigh fading MIMO channel, where neither the transmitter nor the receiver has the knowledge of the channel state information (CSI) except the fading statistics. We…

Information Theory · Computer Science 2007-07-13 Rasika R Perera , Tony S Pollock , Thushara D Abhayapala

In this paper, we obtain the scaling laws of the sum-rate capacity of a MIMO X-channel, a 2 independent sender, 2 independent receiver channel with messages from each transmitter to each receiver, at high signal to noise ratios (SNR). The…

Information Theory · Computer Science 2007-07-13 Natasha Devroye , Masoud Sharif
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