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On the designing principles and optimization approaches of bio-inspired self-organized network: a survey

Science China(Information Sciences) 2013年第7期56卷 5-32页

作者： ZHANG ZhongShan HUANGFU Wei LONG KePing ZHANG Xu LIU XiaoYuan ZHONG Bin Institute of Advanced Network Technology and New Services (ANTS) University of Science and Technology Beijing (USTB) Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services University of Science and Technology Beijing (USTB)

A plethora of studies on self-organization has been carried out in broad areas including chemistry, biology, astronomy, medical science, telecommunications, etc., in both academia and industry. Following the studies on swarm intelligence observed in social species, the artificial self-organized systems are expected to exhibit some intelligent features (e.g., flexibility, robustness, decentralized control, self-evolution, etc.) that may have made social species so successful in the biosphere. In this paper, the application of swarm intelligence in communications networks will be studied, and we survey different aspects of bio-inspired mechanisms and examine various algorithms that have been proposed to improve the performance of artificial systems. Some fundamental self-organized networking (SON) mechanisms, designing principles and optimization approaches for artificial systems will then be investigated, followed by some well-known bio-inspired algorithms (e.g., cooperation, division of labor, distributed network synchronization, load balancing, etc.) as well as their applications to the maintenance/operation/optimization of artificial systems being analyzed. Besides, some new emerging technologies, such as the self-X capabilities and cognitive machine-to-machine (M2M) optimization for the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE)/LTE-Advanced systems, are also surveyed. Finally, the remaining challenges to be faced in designing the future heterogeneous systems will be discussed.

关键词： self-organized networking heterogeneous cognitive radio bio-inspired swarm intelligence decentralized load balancing cooperation

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self-Organization Approaches for Optimization in Cognitive Radio Networks

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China Communications 2014年第4期11卷 121-129页

作者： XU Xu CHAI Xiaomeng ZHANG Zhongshan School of Computer & Communication Engineering and Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services University of Science and Technology Beijing (USTB) No.30 Xueyuan Road Haidian District Beijing 100083 China National Mobile Communications Research Laboratory Southeast University Nanjing 210096 China

Cognitive radio(CR) is regarded as a promising technology for providing a high spectral efficiency to mobile users by using heterogeneous wireless network architectures and dynamic spectrum access ***,cognitive radio networks(CRNs)may also impose some challenges due to the ever increasing complexity of network architecture,the increasing complexity with configuration and management of large-scale networks,fluctuating nature of the available spectrum,diverse Quality-of-Service(QoS)requirements of various applications,and the intensifying difficulties of centralized control,*** management functions with self-organization features can be used to address these challenges and realize this new network *** this paper,fundamentals of CR,including spectrum sensing,spectrum management,spectrum mobility and spectrum sharing,have been surveyed,with their paradigms of self-organization being *** aspects of selforganization paradigms in CRNs,including critical functionalities of Media Access Control(MAC)- and network-layer operations,are surveyed and ***,new directions and open problems in CRNs are also identified in this survey.

关键词： cognitive radio self-organized networking heterogeneous machine-to-machine decentralized load balancing cooperation.

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