620 research outputs found
1-Bit Massive MIMO Downlink Based on Constructive Interference
In this paper, we focus on the multiuser massive multiple-input single-output
(MISO) downlink with low-cost 1-bit digital-to-analog converters (DACs) for PSK
modulation, and propose a low-complexity refinement process that is applicable
to any existing 1-bit precoding approaches based on the constructive
interference (CI) formulation. With the decomposition of the signals along the
detection thresholds, we first formulate a simple symbol-scaling method as the
performance metric. The low-complexity refinement approach is subsequently
introduced, where we aim to improve the introduced symbol-scaling performance
metric by modifying the transmit signal on one antenna at a time. Numerical
results validate the effectiveness of the proposed refinement method on
existing approaches for massive MIMO with 1-bit DACs, and the performance
improvements are most significant for the low-complexity quantized zero-forcing
(ZF) method.Comment: 5 pages, EUSIPCO 201
Hybrid Analog-Digital Precoding for Interference Exploitation
We study the multi-user massive multiple-input-single-output (MISO) and focus
on the downlink systems where the base station (BS) employs hybrid
analog-digital precoding with low-cost 1-bit digital-to-analog converters
(DACs). In this paper, we propose a hybrid downlink transmission scheme where
the analog precoder is formed based on the SVD decomposition. In the digital
domain, instead of designing a linear transmit precoding matrix, we directly
design the transmit signals by exploiting the concept of constructive
interference. The optimization problem is then formulated based on the geometry
of the modulation constellations and is shown to be non-convex. We relax the
above optimization and show that the relaxed optimization can be transformed
into a linear programming that can be efficiently solved. Numerical results
validate the superiority of the proposed scheme for the hybrid massive MIMO
downlink systems.Comment: 5 pages, EUSIPCO 201
Hybrid Massive MIMO Unlicensed Transmission with 1-Bit Quantization
We study the downlink beamforming schemes for the unlicensed wireless transmission in the cognitive radio (CR) Z-channel, where a massive multiple-input-multiple-output (MIMO) secondary base station (SBS) is considered with limited radio frequency (RF) chains and low-cost 1-bit digital-to-analog converters (DACs). In this paper, we design the analog beamformer based on the singular value decomposition (SVD) of the channel, and for the digital beamforming, instead of designing a linear transmit beamforming matrix, we propose to directly design the transmit signals by exploiting the concept of constructive interference, where the interference from the SBS to the primary users (PUs) is also taken into consideration. The optimization problem is then formulated based on the geometry of the modulation constellations and is shown to be non-convex. We then propose to solve the problem in two steps, where we firstly relax the constraint of 1-bit DACs, followed by the normalization in each entry of the baseband signals to satisfy the 1-bit DAC transmission. Numerical results show that the proposed scheme achieves an improved performance over the conventional downlink CR beamforming for the massive MIMO SBS with the hybrid structure and 1-bit DACs
Interference Exploitation-based Hybrid Precoding with Robustness Against Phase Errors
Hybrid analog-digital precoding significantly reduces the hardware costs in
massive MIMO transceivers when compared to fully-digital precoding at the
expense of increased transmit power. In order to mitigate the above shortfall,
we use the concept of constructive interference-based precoding, which has been
shown to offer significant transmit power savings when compared with the
conventional interference suppression-based precoding in fully-digital
multiuser MIMO systems. Moreover, in order to circumvent the potential
quality-of-service degradation at the users due to the hardware impairments in
the transmitters, we judiciously incorporate robustness against such
vulnerabilities in the precoder design. Since the undertaken constructive
interference-based robust hybrid precoding problem is nonconvex with infinite
constraints and thus difficult to solve optimally, we decompose the problem
into two subtasks, namely, analog precoding and digital precoding. In this
paper, we propose an algorithm to compute the optimal constructive
interference-based robust digital precoders. Furthermore, we devise a scheme to
facilitate the implementation of the proposed algorithm in a low-complexity and
distributed manner. We also discuss block-level analog precoding techniques.
Simulation results demonstrate the superiority of the proposed algorithm and
its implementation scheme over the state-of-the-art methods
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