Dirty-paper coding versus TDMA for MIMO Broadcast channels

By Nihar Jindal, Andrea J. Goldsmith. IEEE Transactions on Information Theory, 2005

350 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b12c051b7164b156c33270142d077399292de1d9

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Citations in the corpus

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].”
Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback (2007, methodology): “y of the MIMO downlink channel [3], [4], [5], [6], [7]. Furthermore, the capacity of the MIMO downlink channel is signﬁcantly larger than the rates achievable with point-to-point MIMO techniques [3], [8], [9]. Intuitively, the multi-user MIMO beneﬁt comes from being able to use the transmit antenna ”
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, background): “DPC and linear precoding are compared, and the numerical results show that DPC has better performance only in the regime of intermediate transmit power due to the limited-capacity fronthaul links, which suggests that the compression has bigger impact on the system performance rather than the precodi”
MIMO broadcast channels with finite rate feedback (2006, background): “ high SNR. However, note that the difference between the sum capacity of the MIMO downlink (achieved by DPC) and the achievable TDMA throughput is not particularly large at SNR’s less than 5 or 10 dB [2]. Figure 8 plots achievable throughput for a ﬁnite-rate feedback system with B scaled to maintain”
Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization (2006, background): “Although DPC can achieve the sum capacity [3], deploying DPC in real-time systems is impractical because of the complicated encoding and decoding schemes [6].”
Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, methodology): “MUMIMO is capable of realizing full multiplexing gain thus achieving optimal sum-rate capacity of MIMO broadcast (BC) networks using smart scheduling algorithms, compared to SUMIMO which is capable of realizing only a small fraction of the capacity, particularly when the number of BS transmit antenn”
MIMO Broadcast Channels With Finite-Rate Feedback (2006, background): “However, note that the difference between the sum capacity of the MIMO downlink (achieved by dirty-paper coding) and the achievable TDMA throughput is not particularly large at SNRs less than 5 or 10 dB [2].”