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Many approaches have been proposed to identify communities on complex networks. However the current algorithms are sensitive to the variation of input data and parameters. In this paper, we propose a new community detection approach called robust community detection on dynamic network (RCD). The robustness of our algorithm lies in two aspects. Firstly, by adopting the offset of sigmoid function, RCD...
In this paper, we study a resource allocation scheme for downlink orthogonal frequency division multiplexing (OFDM) cognitive radio networks (CRNs) in which the cognitive base station (BS) is equipped with multiple antennas. The multiple description coding multicast (MDCM) model and beamforming technique are employed to maximize the total received rate of all cognitive radio (CR) users with the constraint...
Base station cooperation is a promising technique to address the serious co-channel interference issue, but dramatic signaling overhead and high computational complexity are inherent in this advanced coordination technology. Limited form of cooperation among base stations becomes an practical method to deploy this multiple cell processing in a realistic network. After analyzing the multi-cell sum...
In this paper, we develop a distributed sub-carrier allocation algorithm with a low complexity in OFDMA multi-cell system , which is decomposed into two sub-problems: inter-cell and intra-cell sub-carrier allocation. During inter-cell process, based on time-variant characteristics and performance differ-ences among cells of sub-carriers, each base station applies Ant Colony Optimization (ACO) to choose...
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