Deep Learning for Uplink Spectral Efficiency in Cell-Free Massive MIMO Systems
@article{Khanh2021DeepLF, title={Deep Learning for Uplink Spectral Efficiency in Cell-Free Massive MIMO Systems}, author={Le Ty Khanh and Viet Quoc Pham and Ha Hoang Kha and Nguyen Minh Hoang}, journal={ArXiv}, year={2021}, volume={abs/2110.04968} }
In this paper, we introduce a Deep Neural Network (DNN) to maximize the Proportional Fairness (PF) of the Spectral Efficiency (SE) of uplinks in Cell-Free (CF) massive Multiple-Input Multiple-Output (MIMO) systems. The problem of maximizing the PF of the SE is a nonconvex optimization problem in the design variables. We will develop a DNN which takes pilot sequences and largescale fading coefficients of the users as inputs and produces the outputs of optimal transmit powers. By consisting of…
One Citation
Effective Insect Recognition Based on Deep Neural Network Models in Complex Background
- Computer Science
- 2021
This paper combined FGVC (Fine-Grained Visual Categorization) with deep learning, and applied Inception V3, VGG16_bn, and ResNet50 in the research of insect recognition and classification and showed that all of the three methods had high accuracy.
References
SHOWING 1-10 OF 34 REFERENCES
On proportional fairness of uplink spectral efficiency in cell-free massive MIMO systems
- Computer ScienceInt. J. Commun. Syst.
- 2020
Simulation results show that the SE PF maximization not only offers approximately the achievable sum rates as compared to the sum-rate maximization but also provides an improved trade-off between the user rate fairness and the achievablesum rate.
Sum Spectral Efficiency Maximization in Massive MIMO Systems: Benefits from Deep Learning
- Computer ScienceICC 2019 - 2019 IEEE International Conference on Communications (ICC)
- 2019
This paper proposes a new optimization algorithm, inspired by the weighted minimum mean square error approach, to obtain a stationary point in polynomial time, and uses this algorithm together with deep learning to train a convolutional neural network to perform the joint data and pilot power control in sub-millisecond runtime.
On the Total Energy Efficiency of Cell-Free Massive MIMO
- Computer ScienceIEEE Transactions on Green Communications and Networking
- 2018
This work considers the cell-free massive multiple-input multiple-output (MIMO) downlink, where a very large number of distributed multiple-antenna access points (APs) serve many single-ant antenna users in the same time-frequency resource, and derives a closed-form expression for the spectral efficiency taking into account the effects of channel estimation errors and power control.
Full-Duplex Cell-Free Massive MIMO
- Computer ScienceICC 2019 - 2019 IEEE International Conference on Communications (ICC)
- 2019
Numerical results show that when the RI is sufficiently low, the FD mode can achieve a spectral efficiency gain of 140% over the HD mode in the cell-free massive MIMO system and outperform the FD collocated massive M IMO systems in terms of spectral efficiency.
Linear precoding via conic optimization for fixed MIMO receivers
- Computer Science, BusinessIEEE Transactions on Signal Processing
- 2006
The proposed precoder design is general, and as a special case, it solves the transmit rank-one beamforming problem and can significantly outperform existing linear precoders.
Deep MIMO detection
- Computer Science2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
- 2017
The results show that deep networks can achieve state of the art accuracy with significantly lower complexity while providing robustness against ill conditioned channels and mis-specified noise variance.
On the Uplink Max–Min SINR of Cell-Free Massive MIMO Systems
- Computer ScienceIEEE Transactions on Wireless Communications
- 2019
A novel sub-optimal scheme is presented which provides a GP formulation to efficiently and globally maximize the minimum uplink user rate and substantially outperforms the existing schemes in the literature.
Cell-Free Massive MIMO Versus Small Cells
- Computer Science, BusinessIEEE Transactions on Wireless Communications
- 2017
Under uncorrelated shadow fading conditions, the cell-free scheme provides nearly fivefold improvement in 95%-likely per-user throughput over the small-cell scheme, and tenfold improvement when shadow fading is correlated.
Solution of the multiuser downlink beamforming problem with individual SINR constraints
- Computer ScienceIEEE Transactions on Vehicular Technology
- 2004
The optimality and global convergence of the algorithm is proven and stopping criteria are given, and the global optimum of the downlink beamforming problem is equivalently obtained from solving a dual uplink problem, which has an easier-to-handle analytical structure.
Fairness Considerations for Full Duplex Multi-User MIMO Systems
- Computer ScienceIEEE Wireless Communications Letters
- 2015
A gradient projection method is developed to solve the non-convex optimization problem of a cellular system with a full-duplex base station serving multiple uplink and downlink users simultaneously, and it is demonstrated that the proposed algorithm provides a good balance between maximizing the sum-rate and maintaining fairness among users.