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Precoding algorithm is used to transmit signals effectively and to reduce the interferences from other user terminals in the massive multiple-input-multiple-output (MIMO) systems. In order to decrease the computational complexity of the precoding matrix, this paper proposes a new precoding algorithm. We use Chebyshev iteration to estimate the matrix inversion in the regularized zero-forcing precoding...
Cooperative localization has become a promising solution for location-enabled technologies in Wireless Sensor Networks (WSNs). However, it suffers from great energy consumption problem due to the energy-constrained characteristic of the networks. To alleviate this problem, we propose a cluster nodes selection strategy based on the Cramer-Rao lower bound (CRLB) for the cooperative localization algorithm...
Homology theory provides new and powerful solutions to address the coverage problems in wireless sensor networks (WSNs). They are based on algebraic objects, such as Čech complex and Rips complex. Čech complex gives accurate information about coverage quality, but requires a precise knowledge of the relative locations of nodes. This assumption is rather strong and hard to implement in practical deployments...
Traditional deterministic methods usually applied to the most severe and low probability events in power system risk assessment, computation results are therefore much conservative accordingly. Considering both probability and their impact of the effects, risk assessment methods can provide comprehensive effect on the whole power system. The status quo related to risk assessment is reviewed. The meaning...
Small-World networks have been an active and common topic in many disciplines, including the social and natural sciences. In order to understand the "Small-World phenomenon" deeply, Klein berg proposed an augmented graph model and demonstrated "six degrees of separation" from an algorithmic perspective. Since then, the Small-World model has been an important issue which has been...
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