While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation
(6G) communications have attracted much attention from both the industry and the …

Clustering is an unsupervised learning technology, and it groups information (observations
or datasets) according to similarity measures. Developing clustering algorithms is a hot topic …

The simultaneous source data obtained by simultaneous source acquisition contain
crosstalk noise and cannot be directly used in conventional data processing procedures …

Drawing on the notion of parallel interference cancellation, this paper formulates a one-shot
linear receiver for the uplink of centralized, possibly cloud-based, radio access networks (C …

Widespread deployment of relays can yield a significant boost in the throughput of
forthcoming wireless networks. However, the optimal operation of large relay networks is still …

This letter applies a feedforward neural network trained in an unsupervised fashion to the
problem of optimizing the transmit powers in centralized radio access networks operating on …

This paper tackles the problem of multipleinput multiple-output communication with 1-bit
digitalto-analog and analog-to-digital converters. With the information-theoretic capacity as …

This paper introduces a Tri-Level Robust Clustering Ensemble (TRCE) algorithm that
leverages the Three-Staged Clustering Algorithm (TSCA) as a fundamental component in its …

Cell-free massive MIMO (CF-mMIMO) is a transformative wireless network technology that
surmounts conventional cellular network limitations concerning coverage, capacity, and …

Parametric optimization solves a family of optimization problems as a function of parameters.
It is a critical component in situations where optimal decision making is repeatedly …