On the achievable throughput of a multiantenna Gaussian broadcast channel

By Giuseppe Caire, Shlomo Shamai. IEEE Transactions on Information Theory, 2003

2,529 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/59c1fe9411a36dcf0e5030027139bdb10c3d3eb5

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In Electrical and Electronic Engineering

Citations in the corpus

Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels (2004, background): “, by choosing , where is the pseudo-inverse of [15], [27].”
Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints (2007, methodology): “A key technique in the solutions of both the MISO minimum-power beamforming problem [1]–[8] and the MIMO capacity region maximization problem [ 10 ]–[14] is the idea of uplink–downlink duality.”
Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback (2007, methodology): “In the remainder of the paper R ZF k serves as a benchmark aginst which we compare the achievable rates with imperfect CSI.”
Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access (2013, methodology): “To make NOMA promising, it should be used with advanced transmission/reception techniques such as dirty paper coding (DPC) or a SIC receiver [13-15], which is different from the CDMA in 3G systems.”
On the capacity of MIMO broadcast channel with partial side information (2003, background): “Interestingly, in Lemma 1, we showed that is in fact the best sum rate capacity that can be achieved with full knowledge of the channel using dirty paper coding [6]–[8].”
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities (2020, background): “While demodulation/decoding in the presence of the Gaussian noise or interference by classical means has been studied for many decades [124], and optimal solutions are available in many cases, ML could be useful in scenarios where either the interference/noise situation does not conform to the assum”
Zero-Forcing Precoding and Generalized Inverses (2008, methodology): “Moreover,it is easy to generalize this method to incorporate nonlinear dirty paper coding (DPC) mechanisms [ 1 ].”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, methodology): “ser MIMO deployment. 2)The technological development was largely driven by heuristics and experiments since the ﬁrst major information theoretic breakthroughs for multi-user MIMO were made in the 00s [9]–[11]. The early papers considered perfect channel state information (CSI) and it took many more ”
Nonorthogonal Multiple Access for 5G and Beyond (2017, background): “In NOMA, multiple users can utilize nonorthogonal resources concurrently by yielding a high spectral efficiency while allowing some degree of multiple access interference at receivers [6, 7].”
Precoding in multiantenna and multiuser communications (2004, background): “, [17] and [20]; see also [6] and [13].”
Sum-Rate Maximization for Linearly Precoded Downlink Multiuser MISO Systems With Partial CSIT: A Rate-Splitting Approach (2016, background): “Zero Forcing Beamforming (ZF-BF), achieve the optimum Degrees of Freedom (DoF) of the MISO Broadcast Channel (BC) under perfect CSIT [2], [3].”
A Comparison of Time-Sharing, DPC, and Beamforming for MIMO Broadcast Channels With Many Users (2007, background): “In [6, 7, 8, 9], it is proved that the sum rate capacity with full CSI in both the transmitter and all the receivers is achieved by using dirty paper coding (DPC).”
Dirty-paper coding versus TDMA for MIMO Broadcast channels (2005, background): “It turns out that the sum capacity of multiple-antenna broadcast channels is generally strictly larger than the single-user capacity of any of the users in the system, and the sum capacity is achieved by using DPC to simultaneously transmit to several users [1], [3]–[5].”
MIMO over Satellite: A Review (2011, background): “Therefore, progress in this area [47], [48], [49], [50] has been one of the major achievements in information theory over the last years.”
Interference Alignment: A New Look at Signal Dimensions in a Communication Network (2011, background): “If the channels are statistically indistinguishable then it is easy to see that indeed the MISO BC is degraded and can achieve only 1 DoF [31].”
Networked MIMO with clustered linear precoding (2008, methodology): “With BTSs coordinating for transmission, it forms an effective MIMO broadcast channel, for which DPC has been shown to be an optimal precoding technique [23]–[27].”
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel (2006, methodology): “Recent years have seen intensive work on the Gaussian MIMO BC. Caire and Shamai [7] were among the first to pay attention to this channel and were the first to suggest using dirty-paper coding (DPC) for transmitting over this channel.”