發(fā)布時(shí)間：2021-01-23 17:49

　　手機(jī)數(shù)據(jù)流量的不可控和快速增長(zhǎng)給5G蜂窩網(wǎng)絡(luò)的未來帶來了巨大的挑戰(zhàn)。根據(jù)一些研究,在2025年對(duì)數(shù)據(jù)流量的需求可能會(huì)增加10000倍。然而,當(dāng)前蜂窩網(wǎng)絡(luò)無(wú)法滿足高頻譜效率和高數(shù)據(jù)速率的需求。為了提高容量或頻譜性能和效率,時(shí)分雙工（TDD）大規(guī)模多輸入多輸出（massive-MIMO）被認(rèn)為是未來無(wú)線蜂窩網(wǎng)絡(luò)（5G）的關(guān)鍵技術(shù),需要安裝數(shù)百甚至數(shù)千個(gè)蜂窩天線和連接到基站的用戶終端。然而,導(dǎo)頻污染（PC）作為一個(gè)眾所周知在大規(guī)模MIMO中由信道估計(jì)誤差引起的狀況,破壞和限定了這些目標(biāo)。本文提出了一種創(chuàng)新的導(dǎo)頻分配策略,即基于小區(qū)分割和扇區(qū)化的導(dǎo)頻分配（CSS-PA）策略來減輕PC的負(fù)擔(dān)。在這個(gè)策略中,以信號(hào)干擾噪聲比（SINR）為基礎(chǔ),首先將用戶劃分為小區(qū)中心和邊緣區(qū)域,隨后對(duì)每個(gè)單元的邊緣區(qū)域進(jìn)行扇區(qū)化。然后將每個(gè)小區(qū)中心區(qū)域用戶分配相同的導(dǎo)頻序列。另一方面,對(duì)于邊緣扇區(qū),指定的序列在不同的小區(qū)中相互正交。在減輕的PC的幫助下,我們確定了近似的系統(tǒng)容量,其顯示了無(wú)限數(shù)量的蜂窩天線在BS上的準(zhǔn)確度。仿真結(jié)果表明,與傳統(tǒng)的導(dǎo)頻序列分配策略具有1或3個(gè)標(biāo)記序列重用率相比,提出的CSS-PA策略... 

【文章來源】：北京郵電大學(xué)北京市 211工程院校 教育部直屬院校

【文章頁(yè)數(shù)】：60 頁(yè)

【學(xué)位級(jí)別】：碩士

【文章目錄】：
Acknowledgement
Abstract
摘要
Chapter 1 Introduction
    1.1 Background
    1.2 Multiple-Input Multiple-Output （MIMO）
        1.2.1 Single-User MIMO
        1.2.2 Multi-User MIMO System
    1.3 Massive MIMO
    1.4 Why Massive MIMO/Potential of massive MIMO
    1.5 Problem Statement
    1.6 Thesis Contribution
    1.7 Thesis Organization
    1.8 References
Chapter 2 Literature Review
    2.1 Channel Estimation for FDD and TDD Massive MIMO Systems
        2.1.1 FDD Mode
        2.1.2 TDD Mode
    2.2 Pilot Contamination and its main cause
    2.3 Related Works
        2.3.1 Pilot Sequence and Adaptive Pilot Allocation Algorithm
        2.3.2 Hungarian Algorithm
        2.3.3 Location aware and pilot assignment technique
        2.3.4 Asynchronous Pilot Transmission
        2.3.5 Scheme of Cell Sectorization Based Pilot Assignment （CS-PA）
        2.3.6 Pilot-Data Alignment and Fractional Pilot Reuse Scheme
        2.3.7 The Schemes of Pilot and Improved Partial Pilot Power Control
    2.4 Summary
    2.5 References
Chapter 3 Proposed Cell Splitting and Sectorization Based Pilot Assignment Scheme
    3.1 Overview of Channel Estimation Methods
        3.1.1 Least Squares Channel Estimation （LSCE）
        3.1.2 Minimum Mean Square Error （MMSE） Estimation
    3.2 System Model
    3.3 Proposed Scheme
        3.3.1 Cell Division
        3.3.2 Edge-Zone Sectorization
        3.3.3 Pilot Assignment
        3.3.4 SE Measurement
    3.4 Proposed Algorithm
    3.5 Achievable Spectral Efficiency of Proposed PA Technique
    3.6 Normalized Mean Square Error
    3.7 Summary
    3.8 References
Chapter 4 Simulation Results and Performance Analysis
    4.1 Simulation Parameters
    4.2 MSE and SNR Comparison
    4.3 Achievable Sum-Rates Versus Number of BS antennas
    4.4 SE Versus Number of Users
    4.5 NMSE Verses Effective SNR
    4.6 LS and MMSE Comparison
    4.7 Summary
Chapter 5 Conclusion and Future Work
    5.1 Conclusion
    5.2 Future Work
List of Publications


【參考文獻(xiàn)】：
期刊論文
[1]大規(guī)模MIMO多小區(qū)TDD系統(tǒng)中的導(dǎo)頻污染減輕方法[J]. 王海榮,王玉輝,黃永明,楊綠溪.  信號(hào)處理. 2013(02)



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