The Key Technologies Study Of Self-organizing In Amorphous Cell

We are entering a new wave of digital society, which is characterized by big data and big wisdom. The big data are eager for spectrum heavily, but the available spectrum resource is severely deficient, the most effective technologies for spectral efficiency enhancement are spatial multiplexing and frequency multiplexing. Amorphous cell, which consists of fixed nodes and mobile low power nodes, had been proposed to improve the coverage of traditional cellular network, as well as to adapt the increasing requirement of data throughput and service quality, and to cope with the tidal effects caused by the dynamic traffic changing with users’ activities. Amorphous cell can improve both regional capacity and overall capacity, and brings high energy efficiency with the help of flexible deployment andmanagement of low power nodes. Amorphous cell has expanded the deployment scenarios of access points in wireless communication networks, providing a new perspective on wireless communication networks with newly emerging deployment scenarios and service types. It also provides users with more effective coverage and higher transmission rates by means of its dynamic network topology and various enhancement technologies. The complex scenarios of amorphous cell need the help of self-organization capabilities to achieve efficient network maintenance, its dynamic characteristics also bring great challenges to the study of self-organizing properties. Introduction of amorphous cell provides new opportunities for the development of future mobile communication networks, and is also facing many problems in management and maintenance,through the on-demand, automatic features in self-organizing functions will promote future mobile communication networks evolving towards more intelligent and higher energy efficiency, achieve high efficiency management and maintenance. The complex deployment scenarios and dynamic characteristics of amorphous cell bring great challenges to the researches of its self-organizing characteristic.Firstly, this paper described the deployment scenarios of amorphous cell and its node features in detail. The key technologies of amorphous cell, including backhaul design, cooperation, signaling design and mobility management were described in this paper. Focusing on the self-organizing characteristics in amorphous cell, several potential research aspects and their research challenges were analyzed. In the multi-user, multi-cell scenario, interference has become the biggest obstacle to the improvement of spectrum efficiency. Interference management has become the bottleneck technique for wireless communication. So this paper mainly focused on solving the interference in amorphous cell under dynamic scenes.Secondly, we studied the interference management techniques in amorphous cell. A cognitive radio assisted model for self-organization and management was proposed. By dynamic detection of weak signals from macro base station by way of cognitive radio, the cognitive radio networks pass feedbacks on the test results to the network management units, which then adjust the parameters of the nodes to reduce interference in the networks. Due to energy detection algorithms exist some limits in the low signal to noise ratio(SNR) scenario, in order to ensure the reliability of the test results, this paper studied the detection performance under low SNR, derivation and simulation helped to optimize the detection threshold setting method and cooperative algorithm. Besides, in order to avoid the severe interference between amorphous nodes, a feasible semi-static frequency reuse interference suppression mechanism had been proposed.Then, we studied the self-adaptability of amorphous cell for dynamic traffic. Combining the reduction of inter-layer interference and the idea of green networks, a hierarchical management algorithm for nodes switching state was proposed, simulation results showed this algorithm could support self-adaptability of amorphous cell, and reduce energy consumption at the same time, and thus improve energy efficiency.