Most Machine Learning techniques traditionally rely on some forms of Euclidean Distances, computed in a Euclidean space (typically R d ).
In order to mitigate inter-cell interference in Orthogonal Frequency Division Multiple Access (OFDMA) based cellular networks, we propose a distributed and coordinated radio resource allocation alg
A prevalent advancement of wireless networks has been the capability to support variable-service users with distinct applications.
The Web in the Internet today-especially when it comes to the Internet of Things and cloud computing-is the Web of resources.
Motivated by the promising benefits of dynamic time division duplex (TDD), in this paper, we use a unified framework to investigate both the technical issues of applying dynamic TDD in homogeneous
The problem of maintaining temporal validity of data is motivated by the need for a real-time system to track its environment correctly.
A methodology is presented to predict the frame error rate (FER) in wireless links for a wide range of channel conditions and retransmission strategies.
In state-of-the-art digital communications systems, channel estimation and/or equalization is an indispensable part of the system.
The orgin of the long wavelength (100 to 300 nm) quasi-periodic microstructure observed in transmission electron microscopy studies of spinodally decomposed In(x)Ga(1-x)As(y)P(1-y) alloys has been
We evaluate the impact of our jitter compensation mechanism on optical networks to deliver deterministic latency.
