Max–Min SINR in Large-Scale Single-Cell MU-MIMO: Asymptotic Analysis and Low-Complexity Transceivers

@article{Sifaou2017MaxMinSI,
  title={Max–Min SINR in Large-Scale Single-Cell MU-MIMO: Asymptotic Analysis and Low-Complexity Transceivers},
  author={Houssem Sifaou and Abla Kammoun and Luca Sanguinetti and M{\'e}rouane Debbah and Mohamed-Slim Alouini},
  journal={IEEE Transactions on Signal Processing},
  year={2017},
  volume={65},
  pages={1841-1854}
}
This work focuses on the downlink and uplink of large-scale single-cell multiuser multiple-input multiple-output systems in which the base station (BS) endowed with <inline-formula><tex-math notation="LaTeX">$M$</tex-math> </inline-formula> antennas communicates with <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula> single-antenna user equipments (UEs). Particularly, we aim at reducing the complexity of the linear precoder and receiver that maximize the minimum signal… 

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References

SHOWING 1-10 OF 37 REFERENCES
Power efficient low complexity precoding for massive MIMO systems
TLDR
This work adopts a precoding technique based on truncated polynomial expansion (TPE) and makes use of the asymptotic analysis to compute the deterministic equivalents of its corresponding signal-to-interference-plus-noise ratios (SINRs) and transmit power.
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
TLDR
How many antennas per UT are needed to achieve η% of the ultimate performance limit with infinitely many antennas and how many more antennas are needed with MF and BF to achieve the performance of minimum mean-square error (MMSE) detection and regularized zero-forcing (RZF), respectively are derived.
Large System Analysis of the Energy Consumption Distribution in Multi-User MIMO Systems With Mobility
In this work, we consider the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of N antennas to communicate with K single-antenna user equipments (UEs). The
Coordinated Multicell Beamforming for Massive MIMO: A Random Matrix Approach
TLDR
A heuristic extension of this algorithm is formulated to incorporate a practical constraint in multicell systems, namely the individual BS transmit power constraints, and investigates the impact of imperfect CSI and pilot contamination effect on the performance of the decentralized algorithm.
Linear Precoding Based on Polynomial Expansion: Large-Scale Multi-Cell MIMO Systems
TLDR
This paper uses random matrix theory to derive a deterministic expression of the asymptotic signal-to-interference-and-noise ratio for each user based on channel statistics and provides an optimization algorithm to approximate the coefficients that maximize the network-wide weighted max-min fairness.
Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback
TLDR
The per-user channel correlation model requires the development of a novel deterministic equivalent of the empirical Stieltjes transform of large dimensional random matrices with generalized variance profile, and deterministic SINR approximations enable us to solve various practical optimization problems.
Large System Analysis of Base Station Cooperation for Power Minimization
TLDR
The design of the linear precoder is considered that minimizes the total power consumption while ensuring target user rates and the total transmit power to reduce the implementation complexity in large-scale networks.
Base Station Cooperation on the Downlink: Large System Analysis
TLDR
This paper considers maximizing the network-wide minimum supported rate in the downlink of a two-cell system, where each base station is endowed with multiple antennas, and combines elements of Lagrangian duality and large system analysis to obtain limiting SINRs and bit-rates.
Decentralizing the optimal multi-cell beamforming via large system analysis
TLDR
This work demonstrates that the ICI terms coupling the coordinating BSs can be approximated using the random matrix theory (RMT) tools when the problem dimensions grow large, and that the approximated ICI values depend only on channels statistics, i.e, spatial load and user specific path loss values.
Joint Beamforming and Power Control in Coordinated Multicell: Max-Min Duality, Effective Network and Large System Transition
TLDR
By using nonlinear Perron-Frobenius theory and random matrix theory, an effective primal network and an effective dual network are proposed to characterize and interpret the asymptotic solution.
...
...