Optimal designs for space-time linear precoders and decoders

By Anna Scaglione, P. Stoica, Sergio Barbarossa, Georgios B. Giannakis, Hemanth Sampath. IEEE Transactions on Signal Processing, 2002

877 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4bf2fa73b98cb87b3238b6b27492c0aa7ec01277

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Citations in the corpus

Linear transmit processing in MIMO communications systems (2005, methodology): “Many publications focus on joint optimization of transmit and receive filters, e.g., [25]‐[ 30 ].”
Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization (2003, methodology): “To design the system, we first easily derive the optimum receive matrices 's, assuming the transmit ones 's fixed, and then deal with the difficult part, which is the derivation of the optimal transmit matrices 's (this two-step derivation has been independently used in [16]).”
Joint transceiver design for MIMO communications using geometric mean decomposition (2005, methodology): “The MTM scheme, or ARITH-MSE, which has appeared in several linear transceiver design papers (see, e.g., [15], [16], and [19]), attempts to minimize Tr with respect to .”
Overcoming interference in spatial multiplexing MIMO cellular networks (2007, background): “Other closed-loop possibilities include eigenbeamforming and transmit precoding [18].”
Broadband wireless access with WiMax/802.16: current performance benchmarks and future potential (2005, background): “To address this problem, a simple extension of spatial multiplexing is linear space-time pre-coding/decoding, in which the number of transmit antennas is larger than the number of data substreams [5, 6].”
Limited feedback unitary precoding for spatial multiplexing systems (2005, background): “Lemma 2: (Scaglione et al. [3]”
Practical algorithms for a family of waterfilling solutions (2005, background): “If, instead, the system is designed to minimize the determinant of the MSE matrix, the classical capacity-achieving waterfilling result is again obtained [12], [14] (this is due to the direct relation between the determinant of the MSE matrix and the mutual information [15]).”
From theory to practice: an overview of MIMO space-time coded wireless systems (2003, background): “Schemes that exploit CSIT to directly minimize BER-related metrics are therefore of interest, examples of which are found in [107] and [108].”
Transceiver optimization for multiuser MIMO systems (2004, background): “In such cases, designing the appropriate precoding strategy has been studied under a variety of system objectives [5], [7], [12], [13].”
Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection (2005, result): “The analysis and results in this section are related to the work in the precoding literature [29], [32], [39] but refer more explicitly to the use of antenna selection.”
Generalized Design of Multi-User MIMO Precoding Matrices (2008, methodology): “In this section we introduce a combination of RBD and THP which we call regularized successive optimization THP (RSO THP).”
Joint MMSE Transceiver Design in Non-Regenerative MIMO Relay Systems (2008, methodology): “In all cases, Wiener filter [7] is used at the receiver for symbol estimation.”
MIMO Transceiver Design via Majorization Theory (2007, background): “Various criteria were considered in [132] under average power constraint as well as peak power constraint.”
Prospective Multiple Antenna Technologies for Beyond 5G (2019, methodology): “In the early 2000s, the single-user MIMO research shifted to techniques that adapt the transmit signal to the channel conditions using some level of transmit-side CSI [86]–[90].”