Varying the antenna locations to optimize the capacity of multi-antenna Gaussian channels

Chiurtu, N.; Rimoldi, Bixio

doi:10.1109/icassp.2000.861198

Cited by 26 publications

(15 citation statements)

References 2 publications

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“…For SU-MIMO system, when there are multiple users waiting at the BS to be scheduled, the scheduler selects the user with the maximum Shannon capacity. So the maximal system capacity C SU with equal power allocation of SU-MIMO system is [14] …”

Section: Simulation Resultsmentioning

confidence: 99%

Multi-User MIMO Linear Precoding with Grassmannian Codebook

Fang

Xiao

et al. 2009

2009 WRI International Conference on Communications and Mobile Computing

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In this paper, multi-user MIMO (MU-MIMO) linear precoding schemes with Grassmannian codebook for downlink transmission are proposed. The proposed MU-MIMO schemes extend the point-to-point single-user Grassmannian precoding to point-to-multipoint multi-user Grassmannian precoding. We proposed two MU-MIMO schemes with the Grassmannian codebook. One scheme assumes the perfect channel information at the base station and the other scheme is under the limited feedback. These MU-MIMO linear precoding schemes with Grassmannian codebook provide significant system capacity enhancement compared with the single user MIMO (SU-MIMO) system. The results also show the performance gap between perfect channel information and limited feedback.

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Section: Simulation Resultsmentioning

confidence: 99%

Multi-User MIMO Linear Precoding with Grassmannian Codebook

Fang

Xiao

et al. 2009

2009 WRI International Conference on Communications and Mobile Computing

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“…For SU-MIMO system, the scheduler selects the user with the maximum Shannon capacity among the users waiting to be scheduled, so the maximum SU-MIMO system capacity with equal power allocation is [14] for both schemes. In order to obtain small ρ for the non-unitary precoding matrices, 2 64 × Grassmannian codebook is adopted for the proposed scheme.…”

Section: ) According To All Feedback Sinr Values and Indexmentioning

confidence: 99%

Non-Unitary Codebook Based Precoding Scheme for Multi-User MIMO with Limited Feedback

Fang

Cui

et al. 2008

2008 IEEE Wireless Communications and Networking Conference

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In this paper, we propose a non-unitary codebook based precoding scheme for multi-user MIMO (MU-MIMO) downlink transmission with limited feedback. The proposed MU-MIMO scheme will perform scheduling and precoding just according to the limited feedback of the signal to interference and noise ratio (SINR) of each user to enhance the system capacity. A precoder codebook design method is related to Grassmannian line packing criterion. We group vectors from the Grassmannian codebook into precoding matrices according to the correlation coefficient of the vectors to suppress the multi-user co-channel interference (CCI). It terms as non-unitary precoding and outperforms the traditional single user MIMO system as well as the unitary codebook based MU-MIMO scheme with limited feedback and low complexity.

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“…Notice that from (18), λ * i only depends on Γ λ and Γ s , which is the same for all i = 1, 2, · · · , T . Although λ * i may be one of the two possible solutions to (18), the Lemma in [8] proves that in order to maximize (9), we must have…”

Section: Point-to-point Casementioning

confidence: 99%

“…For the point-to-point case, Chiurtu et al in [8] showed that the class of channels that provides maximum capacity must have equal singular values, and the optimal transmit signal covariance matrix also assigns equal power to those non-zero eigenmodes. While Chiurtu et al obtained the solution with Lagrange multipliers in [8], we study the problem using iterative water-filling. For the multiuser broadcast channel case, we obtain an upper bound on the largest sum capacity for the channels bounded by Frobenius norm.…”

Section: Introductionmentioning

confidence: 99%

Upper bounds on MIMO channel capacity with channel Frobenius norm constraints

Shen

Andrews

Evans

2005

GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.

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Abstract-The motivation of this paper is to find the class of channels that provides the largest capacity with both the transmit power constraint and channel Frobenius norm constraints. We study both the point-to-point case and the broadcast case. For point-to-point MIMO channels, the optimal channels must have T * equal singular values, where T * is dependent on the available transmit power and the channel Frobenius norm. This result agrees with the previous work by Chiurtu et al. For multiuser broadcast channels, we obtain an upper bound on the sum capacity. We also show that the bound is asymptotically tight for high SNR when all user channels have the same Frobenius norm constraint and N t ≥ KN r , where N t and N r are the numbers of transmit and receive antennas and K is the number of users.

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Varying the antenna locations to optimize the capacity of multi-antenna Gaussian channels

Cited by 26 publications

References 2 publications

Multi-User MIMO Linear Precoding with Grassmannian Codebook

Multi-User MIMO Linear Precoding with Grassmannian Codebook

Non-Unitary Codebook Based Precoding Scheme for Multi-User MIMO with Limited Feedback

Upper bounds on MIMO channel capacity with channel Frobenius norm constraints

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