基于TOA指纹数据库的小小区发现

doi:10.11959/j.issn.1000-0801.2017221

电信科学 ›› 2017, Vol. 33 ›› Issue (9): 163-173.doi: 10.11959/j.issn.1000-0801.2017221

基于TOA指纹数据库的小小区发现

陈杨¹,雷珍珠²,申滨²

¹ 四川通信科研规划设计有限责任公司，四川成都 610000
² 重庆邮电大学通信与信息工程学院，重庆 400065

修回日期:2017-07-06 出版日期:2017-09-01 发布日期:2017-09-11
作者简介:陈杨（1982-），女，四川通信科研规划设计有限责任公司高级工程师，主要研究方向为移动通信技术。|雷珍珠（1992-），男，重庆邮电大学通信与信息工程学院硕士生，主要研究方向为LTE-Hi系统及密集蜂窝异构网络。|申滨（1978-），男，重庆邮电大学通信与信息工程学院教授，主要研究方向为LTE系统和认知无线电等。
基金资助:
国家科技重大专项基金资助项目(2016ZX03001010-004)

Small cell discovery based on TOA fingerprint database

Yang CHEN¹,Zhenzhu LEI²,Bin SHEN²

¹ Sichuan Communication Research and Design Co.,Ltd.,Chengdu 610000,China
² School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

Revised:2017-07-06 Online:2017-09-01 Published:2017-09-11
Supported by:
The National Science and Technology Major Project(2016ZX03001010-004)

摘要/Abstract

摘要：

在小小区大量部署的网络场景下，用户进行异频扫描所检测的载波数相比传统网络部署场景会大量增加，因此用户能耗也会相应增加。基于此，提出了一种基于宏小区参考信号到达时间（TOA）指纹数据库的小小区发现策略，通过减少用户不必要的异频检测操作，进而减少用户能量消耗，以解决用户在进行小小区发现时可能存在的能耗过高问题。仿真表明，该方案相比现有的基于参考信号接收功率（RSSI）指纹数据库方案，受噪声影响程度低，小小区发现准确率高。同时，该方案能有效地限制处于高速移动状态的用户进行异频检测，从而增大了用户与小小区连接的成功率。

关键词: 小小区发现, TOA, 指纹数据库, 异频检测, 能效

Abstract:

In the scenario that a large number of small cells are deployed in the mobile communication network,the number of carriers to be detected by the user equipment (UE) in inter-frequency scanning is considerably larger than that in the conventional network deployment scenarios.This procedure may consume tremendous amounts of UEs’ energy.In order to solve this problem,a small cell discovery (SCD) scheme based on TOA fingerprint database to alleviate intensive energy consumption was proposed when the UEs try to find their potential serving small cells.The proposed scheme reduces the energy consumption of the UE by decreasing the number of unnecessary inter-frequency detection.The simulation results verifiy that the proposed scheme,compared with the existing SCD strategy using received signal strength (RSSI) based radio maps,has better anti-noise performance and higher accuracy.In addition,it can effectively help the high-speed UE avoid performing inter-frequency detection,and hence increase the rate of the UE being successfully connected to the appropriate small cell.

Key words: small cell discovery, TOA, fingerprint database, inter-frequency detection, energy efficiency

中图分类号:

TN929.5

陈杨,雷珍珠,申滨. 基于TOA指纹数据库的小小区发现[J]. 电信科学, 2017, 33(9): 163-173.

Yang CHEN,Zhenzhu LEI,Bin SHEN. Small cell discovery based on TOA fingerprint database[J]. Telecommunications Science, 2017, 33(9): 163-173.

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指纹1	指纹2	…	指纹M
macroID_11	macroID_21	…	macroID_M1
TOA_11	TOA_21	…	TOA_M1
macroID_12	macroID_22	…	macroID_M2
TOA_12	TOA_22	…	TOA_M2
…	…	…	…
macroID_1N	macroID_2N	…	macroID_MN
TOA_1N	TOA_2N	…	TOA_MN

参数	宏小区	小小区
发送功率/dBm	46	30
站点间最小距离/m	3 000	150
IFS周期（T_inter）/ms	80、1 000
同频扫描周期/ms	200
触发时间/ms	480
切换时延/ms	160
UE速度/(km·h^-1)	5～80
指纹长度	3
指纹匹配周期/s	1
系统带宽/MHz	20
快衰落模型	ITU Vehicular A(6 tap)

基于TOA指纹数据库的小小区发现

Small cell discovery based on TOA fingerprint database

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