Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels

By Lizhong Zheng, David Tse. IEEE Transactions on Information Theory, 2003

4,592 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0f699ec18762bcbb4a05e607a090bd8c5014c05c

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Citations in the corpus

On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels (2005, methodology): “The problem of characterizing the optimal tradeo between the reliability and throughput of a point-to-point communication system over a coherent quasi-static at Rayleigh-fading channel was posed and solved by Zheng and Tse in [17].”
Switching between diversity and multiplexing in MIMO systems (2005, methodology): “Compared to this work, our approach is more pragmatic since we focus on the choice of either multiplexing or diversity for a given channel as opposed to the more fundamental characterization in [21].”
Multinode Cooperative Communications in Wireless Networks (2007, background): “to the source node, the error propagation from the relays becomes negligible, and this is due to the fact that the channel outage event (SNR less than the threshold) becomes the dominating error event as proved in [17].”
Great expectations: the value of spatial diversity in wireless networks (2004, background): “The main result in [291] states that Theorem 3.”
Multimode antenna selection for spatial multiplexing systems with linear receivers (2005, background): “Compared with other work on the diversity-multiplexing tradeoff (see for example [7], [8] and the references therein), we take a pragmatic view based on instantaneous channel state information.”
An overview of MIMO communications - a key to gigabit wireless (2004, background): “In general, the magnitude of the slope of the outage capacity versus SNR curve is b/s/Hz/dB [43].”
Cognitive radio networking and communications: an overview (2011, background): “The use of multiple antennas for wireless transmissions provides us both multiplexing and diversity gains [71], [72].”
MIMO Wireless Linear Precoding (2007, background): “There is, however, a fundamental trade-off between the diversity and the multiplexing orders in ST coding [43].”
Fading relay channels: performance limits and space-time signal design (2004, background): “Following the approach in [31] and [8], we shall interpret the outage probability at a certain transmission rate as the packet-error rate (PER).”
Model-Driven Deep Learning for MIMO Detection (2020, background): “To obtain the beneﬁts of MIMO [2], efﬁcient channel estimation and signal detection algorithms, which balance performance and complexity, are essential in receiver design and have arouse a series of research [3]–[7].”
Selection cooperation in multi-source cooperative networks (2008, methodology): “Using the standard definitions of diversity order Δ and normalized rate Rnorm [21], this trade-off can easily be derived from (12) as”
An optimal two transmit antenna space-time code and its stacked extensions (2003, background): “shown in [6] to be insufficient in proving the achievability of the optimal diversity–multiplexing tradeoff curve for all multiplexing gains when T < M +N 1.”
— Invited Paper — Backscatter Communication and RFID: Coding, Energy, and MIMO Analysis (2014, methodology): “For sufﬁciently large SNR, d out ( r ) can be approximated via Laplace’s method [54], as used by [31] [52].”
The Application of MIMO to Non-Orthogonal Multiple Access (2015, methodology): “In this paper, the outage probability is used as the criterion for performance evaluation since the probability of detection error can be tightly bounded by the outage probability [18].”
The golden code: a 2 x 2 full-rate space-time code with non-vanishing determinants (2004, background): “In [8], it is shown that this code achieves the diversity-multiplexing gain tradeoff [10].”
EFFECT OF ANTENNA ARRAY GEOMETRY AND ULA AZIMUTHAL ORIENTATION ON MIMO CHANNEL PROPERTIES IN URBAN CITY STREET GRID (2006, positive): “While the number of the non zero eigenvalues reﬂects the spatial multiplexing gain [17] that can be obtained over a given channel, the eigenvalues represent the power gain [18] in each spatial channel.”
Cognitive radio: brain-empowered wireless communications (2005, background): “• Diversity, which is asymptotically defined by [50] lim log FER() log = 0d where d is the diversity order, and FER() is the frame-error rate expressed as a function of the SNR .”
Multiple-Antenna Cooperative Wireless Systems: A Diversity–Multiplexing Tradeoff Perspective (2007, methodology): “Combined with the fact that a constant scaling in the transmit power levels do not change the DMT [37], this bound will be useful to establish DMT results.”