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Wireless Communications
, 2005
"... Copyright c ○ 2005 by Cambridge University Press. This material is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University ..."
Abstract
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Cited by 1129 (32 self)
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Copyright c ○ 2005 by Cambridge University Press. This material is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University
Fading Channels: Information-Theoretic And Communications Aspects
- IEEE TRANSACTIONS ON INFORMATION THEORY
, 1998
"... In this paper we review the most peculiar and interesting information-theoretic and communications features of fading channels. We first describe the statistical models of fading channels which are frequently used in the analysis and design of communication systems. Next, we focus on the information ..."
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Cited by 416 (3 self)
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In this paper we review the most peculiar and interesting information-theoretic and communications features of fading channels. We first describe the statistical models of fading channels which are frequently used in the analysis and design of communication systems. Next, we focus
MIMO wireless linear precoding
- IEEE Signal Processing Magazine
, 2006
"... The benefits of using multiple antennas at both the transmitter and the receiver in a wireless system are well established. Multiple-input multiple-output (MIMO) systems enable a growth in transmission rate linear in the minimum of the number of antennas at either end [1][2]. MIMO techniques also en ..."
Abstract
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Cited by 44 (0 self)
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The benefits of using multiple antennas at both the transmitter and the receiver in a wireless system are well established. Multiple-input multiple-output (MIMO) systems enable a growth in transmission rate linear in the minimum of the number of antennas at either end [1][2]. MIMO techniques also
MIMO minimum total MSE transceiver design with imperfect CSI at both ends
- IEEE Trans. Signal Processing
, 2009
"... Abstract—This paper presents new results on joint linear transceiver design under the minimum total mean-square error (MSE) criterion, with channel mean as well as both transmit and receive correlation information at both ends of a multiple-input multiple-output (MIMO) link. The joint design is form ..."
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Cited by 31 (3 self)
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of channel estimation error as well as channel correlation on system performance is assessed, based on analytical and simulation results. Index Terms—Channel state information (CSI), mean-square error (MSE), multiple-input multiple-output (MIMO), precoding, spatial multiplexing. I.
1Multi-user Linear Precoding for Multi-polarized Massive MIMO System under Imperfect CSIT
"... The space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of multi-polarized antennas can be an efficient solution to address the space constraint. Furthermore, the dual-structured ..."
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The space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of multi-polarized antennas can be an efficient solution to address the space constraint. Furthermore, the dual
Efficient Linear Precoding for Massive MIMO Systems using Truncated Polynomial Expansion
"... techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively “antenna-efficient ” regu-larized zero-forcing (RZF) is preferred to simp ..."
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Cited by 2 (2 self)
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techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively “antenna-efficient ” regu-larized zero-forcing (RZF) is preferred
LOW-COMPLEXITY LINEAR PRECODING FOR MULTI-CELL MASSIVE MIMO SYSTEMS
"... Massive MIMO (multiple-input multiple-output) has been recognized as an efficient solution to improve the spectral efficiency of future communication systems. However, in-creasing the number of antennas and users goes hand-in-hand with increasing computational complexity. In particular, the precodin ..."
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be optimized to maximize the weighted max-min fairness. Using simulations, we compare the pro-posed TPE precoding with RZF and show that our scheme can achieve higher throughput using a TPE order of only 3. Index Terms—Massive MIMO, linear precoding, low complexity, multi-cell systems, random matrix theory. 1.
Efficient Linear Precoding for Massive MIMO Systems using Truncated Polynomial Expansion
"... techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively “antenna-efficient ” regu-larized zero-forcing (RZF) is preferred to simp ..."
Abstract
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techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively “antenna-efficient ” regu-larized zero-forcing (RZF) is preferred
1Interference-Aware RZF Precoding for Multi Cell Downlink Systems
"... Abstract—Recently, a structure of an optimal linear precoder for multi cell downlink systems has been described in [1, Eq (3.33)]. Other references (e.g., [2], [3]) have used simplified versions of the precoder to obtain promising performance gains. These gains have been hypothesized to stem from th ..."
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systems, whose effectiveness are shown in more involved system scenarios. Furthermore, calculation and implementation of these parameters does not require explicit inter base station cooperation. Index Terms—Multi user MIMO, linear precoding, multi cell downlink, interference mitigation, random matrix
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