- Read more about Reduced Dimension Minimum BER PSK Precoding for Constrained Transmit Signals in Massive MIMO
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- Read more about Wideband Massive MIMO Channel Estimation via Sequential Atomic Norm Minimization
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- Read more about Downlink Spectral Efficiency of Cell-Free Massive MIMO with Full-Pilot Zero-Forcing
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Cell-free Massive multiple-input multiple-output
(MIMO) ensures ubiquitous communication at high spectral
efficiency (SE) thanks to increased macro-diversity as compared
cellular communications. However, system scalability and performance
are limited by fronthauling traffic and interference.
Unlike conventional precoding schemes that only suppress intra-cell
interference, full-pilot zero-forcing (fpZF), introduced in [1],
actively suppresses also inter-cell interference, without sharing
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- Read more about A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels
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The downlink capacity of a unicast network with a large number of users than the base station transmit antennas depends on user selection and interference among the selected users. Various suboptimal selection schemes in combination with suboptimal or optimal precoding have been proposed in the literature, and some of these techniques asymptotically achieve the sum capacity of DPC, as the number of users goes to infinity. In the previous works, the joint design problem is addressed as a decoupled problem of selection and precoding either at the design level or the solution level.
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- Read more about Presentation slides for GlobalSIP 2018
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In this paper, we investigate the impact of multiple-antenna
deployment at access points (APs) and users on the performance
of cell-free massive multiple-input multiple-output
(MIMO). The transmission is done via time-division duplex
(TDD) protocol. With this protocol, the channels are first
estimated at each AP based on the received pilot signals
in the training phase. Then these channel information will
be used to decode the symbols before sending to all users.
The simple and distributed conjugate beamforming technique
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- Read more about A Novel Approach to Joint User Selection and Precoding for Multiuser MISO Downlink Channels
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The downlink capacity of a unicast network with a large number of users than the base station transmit antennas depends on user selection and interference among the selected users. Various suboptimal selection schemes in combination with suboptimal or optimal precoding have been proposed in the literature, and some of these techniques asymptotically achieve the sum capacity of DPC, as the number of users goes to infinity. In the previous works, the joint design problem is addressed as a decoupled problem of selection and precoding either at the design level or the solution level.
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- Read more about DEPLOYING JOINT BEAM HOPPING AND PRECODING IN MULTIBEAM SATELLITE NETWORKS WITH TIME VARIANT TRAFFIC
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This paper studies the application of Beam Hopping (BH) as a key enabler to provide high level of flexibility to manage scarce on-board resources, particularly power, based on the irregular and time variant traffic requests/demands distributed within the coverage of a satellite multibeam system. However, while high throughput full frequency reuse pattern is employed among beams, the performance of BH is significantly degraded due to the generated inter-beam interference, and applying precoding is essential. In this context, we propose Joint Precoding and BH (J-PBH) in a multibeam system.
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- Read more about Symbol-asynchronous transmission in multibeam satellite user down-link: rate regions for novel superposition coding schemes
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We consider the forward link of a multibeam satellite system with
high spectral reuse and the novel low-complexity transmission and
detection strategies from [1]. More specifically, we study the impact
of a time offset between the antenna beams that cooperate to
simultaneously serve a given user. Assuming Gaussian signaling,
we provide closed-form expressions for the achievable rate region.
It is demonstrated that, in the absence of timing information at the
gateway, this region is not affected by a time offset. Our numerical
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- Read more about Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
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