Low-complexity codebook-based beamforming with four transmit antennas and quantized feedback channel

Valduga, Samuel Tumelero; Alves, Dimas I.; Machado, Renato; Legg, Andrei P.; Loiola, Murilo Bellezoni

doi:10.1109/wcnc.2014.6952322

Cited by 1 publication

(3 citation statements)

References 15 publications

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“…In this context, we have proposed in [15] a codebook design for four-transmit-antenna quantized beamforming system. The codebook design is based on trigonometrical expressions that give a quasi-orthogonal structure to the codes.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the work presented in [15] is extended to a more general solution, where the proposed scheme is adjustable for any number of transmit antennas that is a multiple of four. Moreover, we assess the system performance under more realistic conditions, where a timevarying and spatially-correlated channel model [16] is adopted, and two channel estimation methods are considered [3], [17].…”

Section: Introductionmentioning

confidence: 99%

“…PROPOSED SCHEME We start this section by considering the proposed transmission scheme for four transmit antennas as was presented in [15].…”

Section: Introductionmentioning

confidence: 99%

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Codebook Design and Performance Analysis of Quantized Beamforming under Perfect and Imperfect Channel State Information

Valduga¹,

Almeida²,

Machado

et al. 2017

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Abstract-This paper presents a codebook design to multiple transmit and multiple receive antenna system with quantized feedback channel. The codebook design is based on trigonometrical expressions that give a quasi-orthogonal structure to the codes. The codebook is designed to a specific number of transmit antennas and can easily be adapted to different number of feedback bits. An instantaneous signalto-noise ratio analysis is performed which is used to optimize the codebooks. An upper bound on the bit error rate (BER) performance for the proposed scheme is provided as well. We also investigate the system performance under more realistic conditions, and for this purpose we consider a time-varying and spatially-correlated channel model. We compare the BER performance of the proposed scheme with other closed-loop codebook-based schemes. Results show that the proposed scheme outperforms other good schemes in terms of array gain.Index Terms-MIMO, beamforming, quantized feedback, BER and channel estimation.

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Section: Introductionmentioning

confidence: 99%