Enhancing the cellular downlink capacity via co-processing at the transmitting end

By Shlomo Shamai, B. M. Zaidel. IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202), 2001

491 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2e796991ca897a571e55e4e82e548d8d52ba6a68

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Citations in the corpus

A Dynamic Clustering Approach in Wireless Networks with Multi-Cell Cooperative Processing (2008, background): “An alternative very promising way of facing CCI is Multicell cooperative processing (MCP) [ 4 ]-[6].”
Capacity limits of MIMO channels (2003, background): “While capacity computations are not the focus of [64], they do show that their”
Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation (2019, methodology): “The CPU operates the system in a Network MIMO fashion, with no cell boundaries, to jointly serve the UEs by coherent joint transmission and reception [14], [19]–[22].”
Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis (2008, background): “To increase the MG of such systems, the full cooperation among transmitters is proposed in [10], [11], which reduces the system to a single MIMO broadcast channel.”
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel (2006, result): “This model and our results are quite relevant to many applications in wireless communications such as cellular systems [17], [18], [23].”
Nested linear/Lattice codes for structured multiterminal binning (2002, background): “In [ 74 ], [75] the very same ideas are applied to a somewhat different setting of a multicell downlink, and it was shown that multicell central processing has a fundamental impact on the achievable throughput.”
Cochannel Interference Mitigation and Cooperative Processing in Downlink Multicell Multiuser MIMO Networks (2004, methodology): “Base station cooperation approach is proposed in [21] to enhance the downlink sum capacity (throughput) with singleinput single-output (SISO) systems employed in each cell, by implementing dirty-paper coding (DPC) proposed in [7].”
Scalable Cell-Free Massive MIMO Systems (2019, background): “This is the phenomenon utilized by classic beamforming from co-located antenna arrays, but can be also utilized when transmitting coherently from multiple access points (APs) [3].”
Channel Hardening and Favorable Propagation in Cell-Free Massive MIMO With Stochastic Geometry (2017, background): “To mitigate this interference, Shamai and Zaidel introduced the coprocessing concept in 2001 [2], which is more commonly known as network multiple-input multiple-output (MIMO) [3].”
On the achievable throughput of a multiantenna Gaussian broadcast channel (2003, background): “Variations on the theme of the GBC dirty-paper achievable region and a beamforminginterpretation are provided in [37], and [38], [39] consider the case of a multicell downlink with encoding cooperation (and power sharing) between the base stations.”
Network coordination for spectrally efficient communications in cellular systems (2006, background): “The combined zero-forcing dirty paper coding scheme assumes a linear prefilter matrix A obtained through LQ decomposition of the channel matrix H, and is given by A = Q † where H = LQ, L ∈ C N×N is lower triangular, and Q ∈ C N×M is a unitary matrix with QQ † = I [5, 6 ]. The corresponding system m”
An overview of limited feedback in wireless communication systems (2008, background): “Base station coordination [135], [287], [288], [357], also called network MIMO [140], [329], creates base station coordination clusters to treat the system like a “super” MIMO system, leveraging high capacity base station backhauls.”
Multi-Cell MIMO Cooperative Networks: A New Look at Interference (2010, methodology): “of the multi-cell cooperative channel, first investigated for the downlink in 2001 [12], was recognized to be almost identical to the so-called broadcast MIMO channel, if one ignores the power constraint at the individual base stations.”