Proceedings ArticleDOI
Reduced-Order Zero-Forcing Beamforming vs Optimal Beamforming and Dirty Paper Coding and Massive MIMO Analysis
Christo Kurisummoottil Thomas,Dirk Slock +1 more
- pp 351-355
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TLDR
This work applies a simple large systems analysis to determine the asymptotic performance of RO-ZF designs, determine the optimal ZF orders, and compare to optimal and ZF linear and Dirty Paper Coding (DPC) designs.Abstract:
Optimal linear transmitter beamformers in multi-antenna multi-user systems are of the Minimum Mean Squared Error (MMSE) type (dual uplink MMSE receivers). MMSE designs make an optimal compromise between noise enhancement and interference suppression and reduce to matched filters at low SNR and zero-forcing at high SNR. We consider a realistic scenario of user channels of varying attenuation and constrain the beamformers to either zero-force or ignore each interference term. This leads to a reduced-order zero-forcing (RO-ZF) design in which the number of interference sources being zero-forced increases with SNR. We apply a simple large systems analysis (applicable to Massive MIMO) to determine the asymptotic performance of RO-ZF designs, determine the optimal ZF orders, and compare to optimal and ZF linear and Dirty Paper Coding (DPC) designs. RO-ZF designs lead to variable reductions of computational complexity and channel state information (CSI) requirements (esp. in future multi-cell extensions), both important considerations in Massive MIMO systems.read more
Citations
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Proceedings ArticleDOI
Massive MISO IBC Beamforming ‐ a Multi-Antenna Stochastic Geometry Perspective
TL;DR: A recently introduced large system analysis for optimized beamformers with partial CSIT is extended by a stochastic geometry inspired randomization of the channel covariance eigen spaces, leading to much simpler analytical results, which depend only on some essential channel characteristics.
Proceedings ArticleDOI
A Massive MIMO Stochastic Geometry Analysis of Various Beamforming Designs with Partial CSIT
TL;DR: A recently introduced large system analysis for optimized beamformers with partial CSIT is extended by a stochastic geometry inspired randomization of the channel covariance eigen spaces, leading to much simpler analytical results, which depend only on some essential channel characteristics.
Proceedings ArticleDOI
Massive MISO IBC Reduced Order Zero Forcing Beamforming - a Multi-Antenna Stochastic Geometry Perspective
TL;DR: A recently introduced large system analysis for optimized beamformers with partial CSIT is extended by a stochastic geometry inspired randomization of the channel covariance eigen spaces, leading to much simpler analytical results which depend only on some essential channel characteristics.
Proceedings ArticleDOI
Performance Analysis of Massive MIMO Systems under Wireless Fading Channels
TL;DR: In this article , the authors analyzed the massive MIMO system channel capacity by looking at the Symbol Error Rate (SER) in various fading channels, including Rayleigh, Rician, and Nakagami.
References
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Probability and Measure
TL;DR: In this paper, the convergence of distributions is considered in the context of conditional probability, i.e., random variables and expected values, and the probability of a given distribution converging to a certain value.
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Massive MIMO for next generation wireless systems
TL;DR: While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly joined terminals, the exploitation of extra degrees of freedom provided by the excess of service antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
Journal ArticleDOI
On the achievable throughput of a multiantenna Gaussian broadcast channel
Giuseppe Caire,Shlomo Shamai +1 more
TL;DR: Under certain mild conditions, this scheme is found to be throughput-wise asymptotically optimal for both high and low signal-to-noise ratio (SNR), and some numerical results are provided for the ergodic throughput of the simplified zero-forcing scheme in independent Rayleigh fading.