Low-Complexity Massive MIMO Tensor Precoding

Ribeiro, Lucas N.; Schwarz, Štefan; Almeida, André L. F. de; Haardt, Martin

doi:10.1109/ieeeconf51394.2020.9443492

Cited by 4 publications

(5 citation statements)

References 21 publications

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“…For XL-MIMO systems, the plane-wave approximation (9) is generally not satisfied, as the antenna array dimensions are in a similar order of magnitude as the user-to-transmitter distances. Hence, to cancel the inter-user interference, the full classical ZF solution (11) has to be calculated. For larger arrays and many users, however, this can become prohibitively complex.…”

Section: B Mean-angle Based Zero-forcing (Mzf)mentioning

confidence: 99%

“…This can be solved similar to (11), with feasibility condition G i ≤ M H . Obviously, if the approximation h H,u, ≈ hH,u is not satisfied, residual intra-group-interference will occur.…”

Section: B Mean-angle Based Zero-forcing (Mzf)mentioning

confidence: 99%

“…i . Again, this can be solved similar to (11), with feasibility condition N g ≤ M V,i . Finally, the sub-array beamformer of user u ∈ G i is obtained by the Kronecker product…”

Section: B Mean-angle Based Zero-forcing (Mzf)mentioning

confidence: 99%

“…The TZF precoder aims at satisfying the zero inter-user interference (10) by exploiting some algebraic properties of bi-dimensional LOS channels [11]. This precoder is able to approximate the interference cancellation performance of classical ZF with much less stringent CSI and computational requirements.…”

Section: Tensor Zero-forcing (Tzf)mentioning

confidence: 99%

“…denote the horizontal and vertical inter-user interference channel matrices, respectively. The TZF precoder is given by [11] f TZF,u = P Tx,u fu 2 fu , (17a…”

Section: Tensor Zero-forcing (Tzf)mentioning

confidence: 99%

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Low-Complexity Zero-Forcing Precoding for XL-MIMO Transmissions

Ribeiro

Schwarz

Haardt

2021

2021 29th European Signal Processing Conference (EUSIPCO)

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Deploying antenna arrays with an asymptotically large aperture will be central to achieving the theoretical gains of massive MIMO in beyond-5G systems. Such extra-large MIMO (XL-MIMO) systems experience propagation conditions which are not typically observed in conventional massive MIMO systems, such as spatial non-stationarities and near-field propagation. Moreover, standard precoding schemes, such as zeroforcing (ZF), may not apply to XL-MIMO transmissions due to the prohibitive complexity associated with such a large-scale scenario. We propose two novel precoding schemes that aim at reducing the complexity without losing much performance. The proposed schemes leverage a plane-wave approximation and user grouping to obtain a low-complexity approximation of the ZF precoder. Our simulation results show that the proposed schemes offer a possibility for a performance and complexity trade-off compared to the benchmark schemes.

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Section: B Mean-angle Based Zero-forcing (Mzf)mentioning

confidence: 99%

Section: B Mean-angle Based Zero-forcing (Mzf)mentioning

confidence: 99%

“…i . Again, this can be solved similar to (11), with feasibility condition N g ≤ M V,i . Finally, the sub-array beamformer of user u ∈ G i is obtained by the Kronecker product…”

Section: B Mean-angle Based Zero-forcing (Mzf)mentioning

confidence: 99%

Section: Tensor Zero-forcing (Tzf)mentioning

confidence: 99%

“…denote the horizontal and vertical inter-user interference channel matrices, respectively. The TZF precoder is given by [11] f TZF,u = P Tx,u fu 2 fu , (17a…”

Section: Tensor Zero-forcing (Tzf)mentioning

confidence: 99%

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