發(fā)布時(shí)間：2018-07-08 16:40

  本文選題：無定形小區(qū) + 異構(gòu)網(wǎng)絡(luò)　； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：人類即將迎來數(shù)字化社會的新浪潮,其主要特征是大數(shù)據(jù)和大智慧。大數(shù)據(jù)量對頻譜資源需求嚴(yán)重,然而可用頻譜資源匱乏,提高頻譜效率最有效的方式是空間復(fù)用和頻率復(fù)用。無定形小區(qū)由固定節(jié)點(diǎn)和移動低功率節(jié)點(diǎn)組成,提出的目的是為了改善傳統(tǒng)蜂窩網(wǎng)的覆蓋狀況,應(yīng)對業(yè)務(wù)量和服務(wù)質(zhì)量需求的不斷提升,迎合業(yè)務(wù)隨用戶行為潮汐變化特性。無定形小區(qū)能夠同時(shí)改善局部容量并增強(qiáng)區(qū)域容量,靈活部署并管理低功率節(jié)點(diǎn)能夠帶來高能效。無定形小區(qū)擴(kuò)展了無線通信網(wǎng)絡(luò)中接入點(diǎn)的部署場景,為無線通信網(wǎng)絡(luò)中新興部署場景和業(yè)務(wù)類型提供了新視角,以動態(tài)的網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)并結(jié)合多種增強(qiáng)技術(shù)為用戶提供更有效的覆蓋及更高的傳輸速率。無定形小區(qū)的引入為未來移動通信提供了新的發(fā)展機(jī)遇,但同時(shí)也面臨著許多管理和維護(hù)方面的難題,借助自組織功能按需、自動的特性可促使未來移動通信網(wǎng)絡(luò)向更加智能節(jié)能的方向演進(jìn),實(shí)現(xiàn)高效的網(wǎng)絡(luò)管理和維護(hù)。無定形小區(qū)復(fù)雜的應(yīng)用場景及動態(tài)特性給其自組織特性研究帶來很大的挑戰(zhàn)。首先,本論文對無定形小區(qū)的部署場景及節(jié)點(diǎn)特性做了詳細(xì)描述,對無定形小區(qū)的關(guān)鍵技術(shù)包括回傳鏈路設(shè)計(jì)、協(xié)作、信令設(shè)計(jì)和移動性管理等進(jìn)行了綜述,并針對無定形小區(qū)的自組織特性,對其中可能的幾個(gè)研究進(jìn)行了詳細(xì)分析。由于在多用戶、多小區(qū)環(huán)境下,干擾成為提高頻譜效率的最大障礙,因此干擾管理技術(shù)已成為無線網(wǎng)絡(luò)的瓶頸技術(shù)。本文以解決無定形小區(qū)中動態(tài)場景下的干擾作為重點(diǎn)開展研究。其次,本文研究了無定形小區(qū)中干擾管理技術(shù)。提出一種認(rèn)知無線電協(xié)助的自組織管理模型。通過認(rèn)知無線電方式檢測無線資源上微弱的主基站信號,并將檢測結(jié)果反饋給網(wǎng)絡(luò)管理單元,進(jìn)行節(jié)點(diǎn)參數(shù)的調(diào)整以降低網(wǎng)絡(luò)中干擾。由于能量檢測在低信噪比下存在限制條件,為保證檢測結(jié)果的可靠性,特針對低信噪比下的檢測性能進(jìn)行了深入研究,推導(dǎo)并仿真驗(yàn)證優(yōu)化的檢測門限設(shè)置方法及協(xié)作算法。為避免無定形節(jié)點(diǎn)間深度干擾,提出一套可行的半靜態(tài)頻率復(fù)用干擾抑制機(jī)制。然后,本文研究了無定形小區(qū)的業(yè)務(wù)自適應(yīng)特性。結(jié)合了減小層間干擾和綠色節(jié)能的思想,提出分層管理節(jié)點(diǎn)激活狀態(tài)管理算法,在實(shí)現(xiàn)無定形小區(qū)業(yè)務(wù)自適應(yīng)的同時(shí),降低了網(wǎng)絡(luò)能耗,提高網(wǎng)絡(luò)能效。
[Abstract]:Human beings are about to usher in a new wave of digital society, the main characteristics of which are big data and great wisdom. The large amount of data has a serious demand for spectrum resources, but the available spectrum resources are scarce. The most effective way to improve spectrum efficiency is spatial multiplexing and frequency multiplexing. The amorphous cell is composed of fixed nodes and mobile low power nodes. The purpose of this paper is to improve the coverage of traditional cellular networks, to cope with the increasing demand for traffic and quality of service, and to cater for the characteristics of the service changing with the tide of user behavior. Amorphous cells can improve local capacity and enhance regional capacity at the same time. Flexible deployment and management of low power nodes can bring about high energy efficiency. The amorphous cell expands the deployment scenario of access point in wireless communication network and provides a new perspective for the new deployment scenario and service type in wireless communication network. Dynamic network topology and multiple enhancement technologies provide users with more efficient coverage and higher transmission rate. The introduction of amorphous cell provides a new development opportunity for future mobile communication, but at the same time, it also faces many problems in management and maintenance. The automatic characteristic can promote the future mobile communication network to the direction of more intelligent energy saving, and achieve efficient network management and maintenance. The complex application scenarios and dynamic characteristics of amorphous cells pose a great challenge to the study of their self-organizing properties. Firstly, this paper describes the deployment scenario and node characteristics of amorphous cell in detail. The key technologies of amorphous cell include link design, collaboration, signaling design and mobility management. According to the self-organization characteristic of amorphous cell, several possible researches are analyzed in detail. Interference management technology has become the bottleneck technology of wireless network because interference becomes the biggest obstacle to improve spectrum efficiency in multi-user and multi-cell environment. This paper focuses on solving the dynamic scene interference in the amorphous cell. Secondly, the interference management technology in amorphous cell is studied in this paper. A self-organizing management model for cognitive radio assistance is proposed. The weak primary base station signal in wireless resources is detected by cognitive radio, and the detection result is fed back to the network management unit, and the node parameters are adjusted to reduce the interference in the network. In order to ensure the reliability of the detection results, the detection performance under the low signal-to-noise ratio (SNR) is studied deeply, and the optimized detection threshold setting method and the cooperative algorithm are deduced and verified by simulation. In order to avoid the depth interference between amorphous nodes, a feasible semi-static frequency multiplexing interference suppression mechanism is proposed. Then, the service adaptation of amorphous cell is studied in this paper. Combined with the idea of reducing interlayer interference and green energy saving, a hierarchical management node activation state management algorithm is proposed, which can realize the self-adaptation of amorphous cell services, reduce network energy consumption and improve network energy efficiency.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN929.5

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