Temporal prediction of multiapplication consolidated workloads in distributed clouds

J Bi, H Yuan, M Zhou - IEEE Transactions on Automation …, 2019 - ieeexplore.ieee.org
With their fast development and deployment, a large number of cloud services provided by
distributed cloud data centers have become the most important part of Internet services. In …

On the distribution of SINR for MMSE MIMO systems

H Lim, D Yoon - IEEE Transactions on Communications, 2019 - ieeexplore.ieee.org
While the performance analysis of linear zero-forcing (ZF) and minimum mean-square error
(MMSE) receivers has received much attention, there has been no exact closed-form …

Hybrid task prediction based on wavelet decomposition and ARIMA model in cloud data center

J Bi, L Zhang, H Yuan, MC Zhou - 2018 IEEE 15th International …, 2018 - ieeexplore.ieee.org
With the development of Information and Communication Technology (ICT), the service
provided by cloud data centers has become a new pattern of Internet services. The …

An iterative detector based on sparse bayesian error recovery for uplink large-scale MIMO systems

M Amiri, A Akhavan - AEU-International Journal of Electronics and …, 2021 - Elsevier
In uplink large-scale multiple-input and multiple-output (MIMO) systems, the data detection
at the receiver is the major challenge due to the considerable increase in dimensions of …

[HTML][HTML] A novel detector based on compressive sensing for uplink massive MIMO systems

M Amiri, A Akhavan - … of Information Systems and Telecommunication (JIST), 2022 - jist.ir
Massive multiple-input multiple-output is a promising technology in future communication
networks where a large number of antennas are used. It provides huge advantages to the …

Low complexity deep neural network based transmit antenna selection and signal detection in SM-MIMO system

A Mohamed, Z Bai, FP Oloruntomilayo, K Pang… - Digital Signal …, 2022 - Elsevier
In this paper, with the investigation of the conventional Euclidean distance based transmit
antenna selection (ED-AS) and the maximum likelihood detection (MLD) in spatial …

High performance detector for massive MIMO systems using an adaptive filtering approach

MT Fard, M Amiri, A Olfat - 2024 32nd International Conference …, 2024 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems are a critical technology in modern
wireless communications, allowing increased data rates and link reliability. Owing to the …

Joint channel estimation and symbol detection in overloaded MIMO using ADMM

S Bhattacharya, KVS Hari… - 2023 IEEE Statistical …, 2023 - ieeexplore.ieee.org
This paper proposes a Joint Channel Estimation and Symbol Detection (JED) scheme for
overloaded multiple-input multiple-output (MIMO) wireless communication systems, with the …

Unfolding for joint channel estimation and symbol detection in MIMO communication systems

S Bhattacharya, KVS Hari, YC Eldar - arxiv preprint arxiv:2308.08917, 2023 - arxiv.org
This paper proposes a Joint Channel Estimation and Symbol Detection (JED) scheme for
Multiple-Input Multiple-Output (MIMO) wireless communication systems. Our proposed …

Efficient signal detection via compressive sensing in uplink massive MIMO systems

M Amiri, A Olfat - 2024 32nd International Conference on …, 2024 - ieeexplore.ieee.org
This article explores the topic of MIMO systems, which is a crucial technology in 5G wireless
communications. While massive MIMO holds great promise, challenges encom-passing …