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A simple block diagonal precoding for multi-user MIMO broadcast channels

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TLDR
The block diagonal Jacket matrix decomposition is proposed, which is able not only to extend the conventional block diagonal channel decomposition but also to achieve the MIMO broadcast channel capacity.
Abstract
The block diagonalization (BD) is a linear precoding technique for multi-user multi-input multi-output (MIMO) broadcast channels, which is able to completely eliminate the multi-user interference (MUI), but it is not computationally efficient. In this paper, we propose the block diagonal Jacket matrix decomposition, which is able not only to extend the conventional block diagonal channel decomposition but also to achieve the MIMO broadcast channel capacity. We also prove that the QR algorithm achieves the same sum rate as that of the conventional BD scheme. The complexity analysis shows that our proposal is more efficient than the conventional BD method in terms of the number of the required computation.

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Journal ArticleDOI

Performance of Cooperative Multi-Cell Downlink Communication Aided by Polarization-Multiplexing Under Limited Feedback Constraints

TL;DR: The simulation study demonstrates that the use of triply polarized antennas in combination with joint preprocessing at the BSs and relays can be regarded as an efficient technique for the cooperative multi-cell DL system to deal with the space constraints and the aforementioned interferences.
Proceedings ArticleDOI

Performance analysis of the Singular Value Decomposition with block-diagonalization precoding in Multi-User Massive MIMO systems

TL;DR: This paper analyzes the performances of the Block Diagonalization (BD) MU-MIMO downlink technique and proposes a precoding method which mitigates the inter-user interference and thus the need of a collaborative detection at the MS side.
Proceedings ArticleDOI

Performance comparison of full-dimension MIMO systems with different base station places

TL;DR: This paper generates channel matrices between a transmitter at a base station and user equipments by using a ray tracing technique and evaluates the channel capacity with different places of a transmit antenna array in an indoor environment, and introduces block SNR maximization and compares the performance with that of block diagonalization.
Journal ArticleDOI

Performance of Leakage Based Precoding Scheme for Minimizing Interference

TL;DR: Simulation results show that the leakage based linear precode scheme (MMSE SLNR and BD SLNR) achieved better BER, higher sum rate capacity, and lower outage than non-leakage precoding scheme (BD).
Proceedings ArticleDOI

Study of MIMO Channel Matrices Correlation to Optimize Resource Allocation Algorithms in Multi-Users 5G

TL;DR: This paper shows the limited use of Massive-MIMO (Multiple Input Multiple Output) in a system using block diagonal precoder, and suggests a possible strategy to base this user grouping on their channel-matrix correlation to minimize the interference level.
References
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Book

Matrix computations

Gene H. Golub
Journal ArticleDOI

Writing on dirty paper (Corresp.)

TL;DR: It is shown that the optimal transmitter adapts its signal to the state S rather than attempting to cancel it, which is also the capacity of a standard Gaussian channel with signal-to-noise power ratio P/N.
Journal ArticleDOI

Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels

TL;DR: While the proposed algorithms are suboptimal, they lead to simpler transmitter and receiver structures and allow for a reasonable tradeoff between performance and complexity.
Journal ArticleDOI

The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel

TL;DR: A new notion of an enhanced broadcast channel is introduced and is used jointly with the entropy power inequality, to show that a superposition of Gaussian codes is optimal for the degraded vector broadcast channel and that DPC is ideal for the nondegraded case.
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