111 research outputs found
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
Joint Design of Digital and Analog Processing for Downlink C-RAN with Large-Scale Antenna Arrays
In millimeter-wave communication systems with large-scale antenna arrays,
conventional digital beamforming may not be cost-effective. A promising
solution is the implementation of hybrid beamforming techniques, which consist
of low-dimensional digital beamforming followed by analog radio frequency (RF)
beamforming. This work studies the optimization of hybrid beamforming in the
context of a cloud radio access network (C-RAN) architecture. In a C-RAN
system, digital baseband signal processing functionalities are migrated from
remote radio heads (RRHs) to a baseband processing unit (BBU) in the "cloud" by
means of finite-capacity fronthaul links. Specifically, this work tackles the
problem of jointly optimizing digital beamforming and fronthaul quantization
strategies at the BBU, as well as RF beamforming at the RRHs, with the goal of
maximizing the weighted downlink sum-rate. Fronthaul capacity and per-RRH power
constraints are enforced along with constant modulus constraints on the RF
beamforming matrices. An iterative algorithm is proposed that is based on
successive convex approximation and on the relaxation of the constant modulus
constraint. The effectiveness of the proposed scheme is validated by numerical
simulation results
Doubly Massive mmWave MIMO Systems: Using Very Large Antenna Arrays at Both Transmitter and Receiver
One of the key features of next generation wireless communication systems
will be the use of frequencies in the range 10-100GHz (aka mmWave band) in
densely populated indoor and outdoor scenarios. Due to the reduced wavelength,
antenna arrays with a large number of antennas can be packed in very small
volumes, making thus it possible to consider, at least in principle,
communication links wherein not only the base-station, but also the user
device, are equipped with very large antenna arrays. We denote this
configuration as a "doubly-massive" MIMO wireless link. This paper introduces
the concept of doubly massive MIMO systems at mmWave, showing that at mmWave
the fundamentals of the massive MIMO regime are completely different from what
happens at conventional sub-6 GHz cellular frequencies. It is shown for
instance that the multiplexing capabilities of the channel and its rank are no
longer ruled by the number of transmit and receive antennas, but rather by the
number of scattering clusters in the surrounding environment. The implications
of the doubly massive MIMO regime on the transceiver processing, on the system
energy efficiency and on the system throughput are also discussed.Comment: Accepted for presentation at 2016 IEEE GLOBECOM, Washington (DC),
USA, December 201
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