The problem of distributed learning and channel access is considered in a cognitive network with multiple secondary users. The availability statistics of the channels are initially...
Animashree Anandkumar, Nithin Michael, Ao Kevin Ta...
Lattice reduction-aided decoding enables significant complexity saving and near-optimum performance in multi-input multi-output (MIMO) communications. However, its remarkable perfo...
Abstract-We analyze the capacity scaling laws of clustered ad hoc networks in which nodes are distributed according to a doubly stochastic shotnoise Cox process. We identify five d...
We present the basic high-level structures used for developing quantum programming languages. The presented structures are commonly used in many existing quantum programming langua...
P. Gawron, Jerzy Klamka, J. A. Miszczak, Ryszard W...
: The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, ...
The Dendritic Cell Algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation ...
Abstract. The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on the function of natural dendritic cells. The original instantiation of the algorithm is a...
Equal allocation of bandwidth and/or power may not be efficient for wireless multi-user networks with limited bandwidth and power resources. Joint bandwidth and power allocation s...
Xiaowen Gong, Sergiy A. Vorobyov, Chintha Tellambu...