Spectral efficiency improvement and power control optimization of massive MIMO networks
X Zhang, H Qi, X Zhang, L Han - IEEE Access, 2021 - ieeexplore.ieee.org
Higher requirements must be put forward about wireless signal transmission in harsh
environments. Energy loss mitigation, channel estimation, noise interference reduction …
environments. Energy loss mitigation, channel estimation, noise interference reduction …
Performance of multi-antenna proactive eavesdropping in 5G uplink systems
This paper studies the performance of multi-antenna proactive eavesdropping in 5G uplink
systems with spatially correlated Rayleigh fadings, where the base station (BS) serves an …
systems with spatially correlated Rayleigh fadings, where the base station (BS) serves an …
Study on 5G Massive MIMO Technology Key Parameters for Spectral Efficiency Improvement Including SINR Mapping on Rural Area Test Case
TR Delson, I Jose - 2022 IEEE 3rd Global Conference for …, 2022 - ieeexplore.ieee.org
Massive MIMO is one of the key disruptive technologies in 5G which offers significant
change in the core network architecture and channel modeling compared to the previous …
change in the core network architecture and channel modeling compared to the previous …
Spectral decomposition-based optimization for MMSE receiver design in an uplink MU-MIMO cooperative communication system with imperfect CSI
SM Imam, AE El-Mahdy - Physical Communication, 2024 - Elsevier
The receiver's architecture is always a critical issue in multiple-input multiple-output (MIMO)
systems, as it has a great impact on the system's performance and complexity. Accordingly …
systems, as it has a great impact on the system's performance and complexity. Accordingly …
Optimum GSSK Transmission in Massive MIMO Systems Using the Box-LASSO Decoder
AM Alrashdi, AE Alrashdi, A Alghadhban… - IEEE …, 2022 - ieeexplore.ieee.org
We propose in this work to employ the Box-LASSO, a variation of the popular LASSO
method, as a low-complexity decoder in a massive multiple-input multiple-output (MIMO) …
method, as a low-complexity decoder in a massive multiple-input multiple-output (MIMO) …
A training-based mutual information lower bound for large-scale systems
We provide a mutual information lower bound that can be used to analyze the effect of
training in models with unknown parameters. For large-scale systems, we show that this …
training in models with unknown parameters. For large-scale systems, we show that this …
A training-based mutual information lower bound for large-scale systems
We provide a mutual information lower bound that can be used to analyze the effect of
training in models with unknown parameters. For large-scale systems, we show that this …
training in models with unknown parameters. For large-scale systems, we show that this …
Low Complexity Resource Allocation for Multiuser Uplink Communication Systems
In this paper, we address a practical and large-dimensional problem of joint design of
modulation and coding scheme (MCS) and transmit power allocation for an uplink massive …
modulation and coding scheme (MCS) and transmit power allocation for an uplink massive …
[PDF][PDF] Large system analysis of box-relaxation in correlated massive mimo channels under imperfect csi
AM Alrashdi - arXiv preprint arXiv:2010.01684, 2020 - researchgate.net
In this paper, we study the mean square error (MSE) and the bit error rate (BER)
performance of the box-relaxation decoder in massive multiple-input-multiple-output (MIMO) …
performance of the box-relaxation decoder in massive multiple-input-multiple-output (MIMO) …
[PDF][PDF] Interference Cancellation and Data Detection in Uplink Multi-User MIMO Cooperative Communication Systems
SM Imam - researchgate.net
This thesis discusses interference cancellation and data detection in uplink multiuser
multiple input multiple output cooperative communication systems with a full duplex relay …
multiple input multiple output cooperative communication systems with a full duplex relay …