作　　者： (陈杨）; (雷珍珠）; (申滨）;

机构地区： 四川通信科研规划设计有限责任公司,四川成都610000

出　　处： 《电信科学》 2017年第9期163-173,共11页

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。 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 al- leviate 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 in- ter-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 accu- racy. In addition, it can effectively help the high-speed UE avoid performing inter-frequency detection, and hence in- crease the rate of the UE being successfully connected to the appropriate small cell.

关 键 词： 小小区发现 指纹数据库 异频检测 能效