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Temporal prediction of multiapplication consolidated workloads in distributed clouds
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 …
distributed cloud data centers have become the most important part of Internet services. In …
On the distribution of SINR for MMSE MIMO systems
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 …
(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
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 …
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
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 …
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
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 …
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
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 …
antenna selection (ED-AS) and the maximum likelihood detection (MLD) in spatial …
High performance detector for massive MIMO systems using an adaptive filtering approach
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 …
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 …
overloaded multiple-input multiple-output (MIMO) wireless communication systems, with the …
Unfolding for joint channel estimation and symbol detection in MIMO communication systems
This paper proposes a Joint Channel Estimation and Symbol Detection (JED) scheme for
Multiple-Input Multiple-Output (MIMO) wireless communication systems. Our proposed …
Multiple-Input Multiple-Output (MIMO) wireless communication systems. Our proposed …
Efficient signal detection via compressive sensing in uplink massive MIMO systems
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 …
communications. While massive MIMO holds great promise, challenges encom-passing …