# 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…

## 22 Citations

Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems

- Computer ScienceIEEE Transactions on Wireless Communications
- 2020

Simulation results show that RISs can outperform half-duplex relays with a small number of passive reflecting elements while large RISs are needed to outperform full-duple relays.

Asymptotic Analysis of Large Intelligent Surface Assisted MIMO Communication

- Computer ScienceArXiv
- 2019

Simulation results show that the LIS-assisted system can offer massive MIMO like gains with a much fewer number of active antennas, thereby significantly reducing the energy consumption at the BS.

Enhanced Max-Min SINR for Uplink Cell-Free Massive MIMO Systems

- Computer Science2018 IEEE International Conference on Communications (ICC)
- 2018

This paper enhances (or maximize) user fairness by solving the max-min optimization problem for user rate, by power allocation and choice of receiver coefficients, where the minimum uplink rate of the users is maximized with available transmit power at the particular user.

SINR Balancing via Base Station Association, Beamforming, and Power Control in Downlink Multicell MISO Systems

- Computer ScienceIEEE Transactions on Wireless Communications
- 2018

Simulation results show that the proposed algorithms outperform the existing algorithms designed for the downlink single-input single-output systems.

Low-Complexity Truncated Polynomial Expansion DL Precoders and UL Receivers for Massive MIMO in Correlated Channels

- Computer ScienceIEEE Transactions on Wireless Communications
- 2019

The proposed TPE method can effectively close the performance gap between ConjBF and RZF with computation latency of less than one LTE OFDM symbol, as assumed in Marzetta’s work on massive MIMO.

Deterministic equivalent for max-min SINR over random user locations

- Computer Science2017 IEEE International Conference on Communications (ICC)
- 2017

This work conducts analysis in the asymptotic regime in which N and K grow large to compute a deterministic approximation for the max-min SINR and validates the analytical results in a finite system regime.

Box-Relaxation for BPSK Recovery in Massive MIMO: A Precise Analysis under Correlated Channels

- Computer ScienceICC 2020 - 2020 IEEE International Conference on Communications (ICC)
- 2020

This work precisely characterize the mean squared error (MSE) and the bit error rate of the box-relaxation decoder in the asymptotic regime where both dimensions grow simultaneously large at a fixed ratio.

Block Diagonal Hybrid Precoding and Power Allocation for QoS-Aware BDMA Downlink Transmissions

- Computer ScienceSensors
- 2020

This work proposes a novel BDMA downlink system by first grouping transmitting data-streams before digitally precoding data group by group, and optimize the power allocation to satisfy each user’s quality of service (QoS) requirement using the D.C.C., (difference of convex functions) programming technique.

Matched Filtering in Massive MU-MIMO Systems

- Computer Science
- 2020

Results are obtained demonstrating that channel hardening may or may nor occur depending on the nature of the channel models, and a novel system metric is proposed, denoted large system potential (LSP) as the ratio of the mean desired signal power to the total mean interference power, where both the numbers of antennas and end-users are growing to infinity at a fixed ratio.

Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency

- Computer ScienceFound. Trends Signal Process.
- 2017

This monograph summarizes many years of research insights in a clear and self-contained way and providest the reader with the necessary knowledge and mathematical toolsto carry out independent research in this area.

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