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MIMO broadcast channels with finite rate feedback
TLDR
A system where the receiver has perfect channel knowledge, but the transmitter only receives quantized information regarding the channel instantiation is analyzed and simple expressions for the capacity degradation due to finite rate feedback as well as the required increases in feedback load per mobile as a function of the number of access point antennas and the system SNR are provided.
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
TLDR
It is shown that the dirty paper achievable region achieves the sum-rate capacity of the MIMO BC by establishing that the maximum sum rate of this region equals an upper bound on the sum rate.
Capacity limits of MIMO channels
TLDR
An overview of the extensive results on the Shannon capacity of single-user and multiuser multiple-input multiple-output (MIMO) channels is provided and it is shown that the capacity region of the MIMO multiple access and the largest known achievable rate region (called the dirty-paper region) for the M IMO broadcast channel are intimately related via a duality transformation.
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
TLDR
This work analyzes the sum-rate performance of a multi- antenna downlink system carrying more users than transmit antennas, with partial channel knowledge at the transmitter due to finite rate feedback, and shows that having more users reduces feedback load.
MIMO Broadcast Channels With Finite-Rate Feedback
  • N. Jindal
  • Computer Science
    IEEE Transactions on Information Theory
  • 16 March 2006
TLDR
A key finding is that the feedback rate per mobile must be increased linearly with the signal-to-noise ratio (SNR) (in decibels) in order to achieve the full multiplexing gain.
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
TLDR
A "duality" is used to transform the problem of maximizing sum rate on a multiple-antenna downlink into a convex multiple access problem, and then a simple and fast iterative algorithm is obtained that gives the optimum transmission policies.
Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback
TLDR
It is shown that very significant downlink throughput is achievable with simple and efficient channel state feedback, provided that the feedback link is properly designed.
Limited feedback-based block diagonalization for the MIMO broadcast channel
TLDR
This work considers a limited feedback system where each receiver knows its channel perfectly, but the transmitter is only provided with a finite number of channel feedback bits from each receiver, and quantizes the throughput loss due to imperfect channel knowledge as a function of the feedback level.
A primer on spatial modeling and analysis in wireless networks
TLDR
The objective of this article is to illustrate the power of spatial models and analytical techniques in the design of wireless networks, and to provide an entry-level tutorial.
Multi-Antenna Broadcast Channels with Limited Feedback and User Selection
TLDR
This work analyzes the sum-rate performance of a multi-antenna downlink system carrying more users than transmit antennas, with partial channel knowledge at the transmitter due to finite rate feedback, and shows that having more users reduces feedback load.
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