Performance of block diagonalization scheme for multiuser MIMO downlink heterogeneous channels

Khan, Hashem Ali; Lee, Moon Ho

doi:10.1109/iscit.2013.6645816

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…The Block Diagonalisation algorithm is a classic linear zero-forcing algorithm for MU-MIMO with multi-antenna UEs [20]. It works in situations when the number of transmit antennas is no less than the total number of receive antennas.…”

Section: B Block Diagonalisationmentioning

confidence: 99%

See 1 more Smart Citation

Comparing Theoretic Single-User and Multi-User Full-Dimension MIMO Data Throughputs in Realistic City-Wide LTE-A Deployments

Zhang

Kong

Mellios

et al. 2015

2015 IEEE Global Communications Conference (GLOBECOM)

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Section: B Block Diagonalisationmentioning

confidence: 99%

“…This approach is mainly noise-limited and performs poorly at low SNR [19]. In addition, [20] shows when users have highly correlated channels at high SNRs, capacity degrades significantly due to limited orthogonal space between users.…”

Section: B Block Diagonalisationmentioning

confidence: 99%

Comparing Theoretic Single-User and Multi-User Full-Dimension MIMO Data Throughputs in Realistic City-Wide LTE-A Deployments

Zhang

Kong

Mellios

et al. 2015

2015 IEEE Global Communications Conference (GLOBECOM)

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“…The optimal precoding method is the dirty paper coding, 3,4 which can achieve the information theoretical capacity in Gaussian channel. 7 But BD precoding has the constraint that the number of transmit antennas is no less than the sum of the receive antennas. 5 The complexity of the nonlinear operations prohibits it from applying.…”

Section: Introductionmentioning

confidence: 99%

“…It converts the MU-MIMO system into many parallel MIMO channels by nullifying the MUI. 7 But BD precoding has the constraint that the number of transmit antennas is no less than the sum of the receive antennas. Hence the user scheduling is needed in the overloaded MU-MIMO BC system.…”

Section: Introductionmentioning

confidence: 99%

User scheduling based on angles with block diagonalization in MU‐MIMO broadcast

Yuan

Cao

Zhang

2017

Int J Communication

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This paper investigates user selection scheme in the multiuser multiple-input multiple-output (MU-MIMO) broadcast (BC) scene with block diagonalization precoding. Block diagonalization is a suboptimal but practical linear precoding method, which can eliminate the multiuser interference by turning the MU-MIMO BC channel into parallel MIMO channels. With this precoding method, we propose the best user from the user subset to maximize the total throughput in the MU-MIMO BC system. The angles between subspaces used in this paper are induced from n-inner product, an extension from norm space to the n-dimensional space, which characterizes the orthogonality between subspaces. One of the algorithms achieves good performance by comparing the capacity greedily, the other one attains high capacity by reducing the cardinality of the user subset to improve the orthogonality between the user channels, which could be seen as a complexity reduction algorithm with respect to the former one. Indeed, they are all based on the angles between subspaces. Analysis shows that both of the proposed algorithms have lower complexity and better performance than the classical algorithms. The numerical results also confirm our analysis. KEYWORDSangles between spaces, block diagonalization, MU-MIMO, n-inner product, user scheduling 1 Int J Commun Syst. 2017;30:e3300.wileyonlinelibrary.com/journal/dac

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“…Furthermore, these linear precoding methods cannot obtain a diversity gain. To obtain the diversity gain, a BD (block diagonalization) method has been proposed in [4].…”

Section: Introductionmentioning

confidence: 99%

ASIP implementation of CDI feedback and low complexity precoding for MU-MIMO system

Yokota

Yoshizawa

Ochi

2015

2015 International Conference on Communications, Management and Telecommunications (ComManTel)

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In this paper, we propose a low complexity MU(multi-user)-MIMO precoding method and show ASIP (application specific instruction-set processor) implementation results of both CSI (channel state information) feedback and our precoding method. To realize DL(downlink)-MU-MIMO transmission, the MU-MIMO precoding and CSI feedback are required in AP (access point) and STA (station) respectively for canceling IUI (interuser interference). However, conventional IBD (iterative block diagonalization) precoding has a high computational complexity problem. Therefore, we propose an LC(low complexity)-IBD precoding method whose complexity is reduced by using null vectors from CSI decompression process. The implementation results show that our precoder can reduce computational complexity and latency.

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Performance of block diagonalization scheme for multiuser MIMO downlink heterogeneous channels

Cited by 5 publications

References 11 publications

Comparing Theoretic Single-User and Multi-User Full-Dimension MIMO Data Throughputs in Realistic City-Wide LTE-A Deployments

Comparing Theoretic Single-User and Multi-User Full-Dimension MIMO Data Throughputs in Realistic City-Wide LTE-A Deployments

User scheduling based on angles with block diagonalization in MU‐MIMO broadcast

ASIP implementation of CDI feedback and low complexity precoding for MU-MIMO system

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