Failure detection (FD) is an important issue for supporting dependability in distributed
healthcare systems to guarantee continuous, safe, secure, and dependable operation, and …

In this paper, we study the capacity-achieving input covariance matrices for the multiuser
multiple-input multiple-output (MIMO) uplink channel under jointly-correlated Rician fading …

Cloud computing is an increasingly important solution for providing services deployed in
dynamically scalable cloud networks. Services in the cloud computing networks may be …

Training-based transmission over Rayleigh block-fading multiple-input multiple-output
(MIMO) channels is investigated. As a training method a combination of a pilot-assisted …

A framework to analyze inference performance in densely connected single-layer feed-
forward networks is developed for situations where a given data set is composed of …

Real-time activity recognition is an important research problem, which has drawn the
attention of many researchers for many years. All previous works of real-time activity …

Kudekar et al. proved that the belief-propagation (BP) threshold for low-density parity-check
codes can be boosted up to the maximum-a-posteriori (MAP) threshold by spatial coupling …

Failure detectors are used to build high availability distributed systems as the fundamental
component. To meet the requirement of a complicated large-scale distributed system …

This paper presents a large-system analysis of the performance of joint channel estimation,
multiuser detection, and per-user decoding (CE-MUDD) for randomly spread multiple-input …

Using the replica method, originally developed in statistical physics, we derive the
asymptotic mutual information (MI) of a spatially correlated Rician multiple-input multiple …