發(fā)布時間：2019-06-12 08:07

【摘要】：近年提出的云無線接入網(wǎng),通過集中化改善了小區(qū)為中心無線接入網(wǎng)在成本和靈活性方面的瓶頸.但是,云無線接入網(wǎng)需要通過前傳網(wǎng)大范圍匯聚帶寬極高的前傳采樣,造成了過高的建設(shè)與運營成本.本文針對云無線接入網(wǎng)過度依賴前傳通信資源的問題,依據(jù)控制與數(shù)據(jù)分離的思想設(shè)計了一種軟件定義超蜂窩網(wǎng)絡(luò)新型架構(gòu),并提出了在該架構(gòu)下通過通信與計算協(xié)同的資源部署大幅降低前傳匯聚帶寬的具體方案.首先基于排隊論給出了虛擬基站池中計算資源統(tǒng)計復(fù)用增益與池規(guī)模的定量關(guān)系,并依據(jù)統(tǒng)計復(fù)用增益邊際效應(yīng)迅速遞減的性質(zhì)得到了部署中等規(guī)�；境馗�(jīng)濟的指導(dǎo)方針.然后基于圖聚類框架針對基帶處理功能分割部署問題給出了一種遺傳算法,該算法給出的分割方案可以根據(jù)設(shè)計偏好在前傳帶寬成本與計算代價間進行靈活折衷.
[Abstract]:The cloud wireless access network proposed in recent years improves the bottleneck of cost and flexibility of cell-centered wireless access network through centralization. However, the cloud wireless access network needs to collect the pretransmission sampling with very high bandwidth through the pre-transmission network, which results in too high construction and operation costs. In order to solve the problem that cloud wireless access network relies too much on pre-transmission communication resources, a new software-defined super-cellular network architecture is designed according to the idea of separation of control and data, and a concrete scheme to greatly reduce the pretransmission convergence bandwidth through the collaborative resource deployment of communication and computing under this architecture is proposed. Firstly, based on the queuing theory, the quantitative relationship between the statistical reuse gain of computing resources and the pool size in the virtual base station pool is given, and the more economical guidelines for deploying the medium scale base station pool are obtained according to the property of the rapidly decreasing marginal effect of the statistical reuse gain. Then, based on the graph clustering framework, a genetic algorithm is proposed to solve the problem of baseband processing functional segmentation deployment. The proposed segmentation scheme can make a flexible compromise between the pretransmission bandwidth cost and the computational cost according to the design preference.
【作者單位】： 清華大學(xué)電子工程系;清華大學(xué)信息科學(xué)與技術(shù)國家實驗室(籌);
【基金】：國家重點基礎(chǔ)研究發(fā)展計劃(973)(批準(zhǔn)號:2012CB316000) 國家自然科學(xué)基金(批準(zhǔn)號:61461136004,61571265,91638204)資助項目
【分類號】：TN929.5

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