| 1. |
- Kron, Johannes, et al.
(författare)
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Closed-form sum-MSE minimization for the two-user Gaussian MIMO broadcast channel
- 2011
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Ingår i: IEEE Communications Letters. - : IEEE. - 1089-7798 .- 1558-2558. ; 15:9, s. 950-952
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Tidskriftsartikel (refereegranskat)abstract
- We study the Gaussian multiple-input, multiple-output broadcast channel, where a base station with N(T) antennas transmits K independent messages to K users, each having a single receive antenna. The messages consist of independent, identically distributed Gaussian random variables and we study linear transmission with an end-to-end distortion criterion. By using an already established uplink/downlink duality and a recently discovered special relation between beamforming vectors and channel vectors, we present a closed-form expression for the optimal power allocation in the two-user case. We also outline an iterative algorithm that finds the optimal power allocation for an arbitrary number of users.
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| 2. |
- Persson, Daniel, et al.
(författare)
-
Joint Source-Channel Coding for the MIMO Broadcast Channel
- 2012
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Ingår i: IEEE Transactions on Signal Processing. - : IEEE Signal Processing Society. - 1053-587X .- 1941-0476. ; 60:4, s. 2085-2090
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Tidskriftsartikel (refereegranskat)abstract
- We investigate the problem of broadcasting analog sources to several users using short codes, employing several antennas at both the transmitter and the receiver, and channel-optimized quantization. Our main objective is to minimize the sum mean-square error distortion. A joint multi-user encoder, as well as a structured encoder with separate encoders for the different users, are proposed. The first encoder outperforms the latter, which, in turn, offers large improvements compared to state-of-the-art, over a wide range of channel signal-to-noise ratios. Our proposed methods handle bandwidth expansion, i.e., usage of more channel than source dimensions, automatically. We also derive a lower bound on the distortion.
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| 3. |
- Persson, Daniel, et al.
(författare)
-
Joint Source-Channel Decoding Over MIMO Channels Based on Partial Marginalization
- 2012
-
Ingår i: IEEE Transactions on Signal Processing. - : IEEE. - 1053-587X .- 1941-0476. ; 60:12, s. 6734-6739
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Tidskriftsartikel (refereegranskat)abstract
- We investigate fast joint source-channel decoding employed for communication over frequency-flat and frequency-selective block-fading multiple-input multiple-output channels. Our setting has applications for communication with short codes under low-latency constraints. The case of no transmitter channel state information is considered. We propose a partial marginalization decoder that allows performance to be traded for computational complexity, by adjusting a user parameter. By tuning this parameter to its maximum value, the minimum mean square error (MMSE) decoder is obtained. In the conducted simulations, the proposed scheme almost achieves the MMSE performance for a wide range of the channel signal-to-noise ratios, with significant reductions in computational complexity.
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