Improving Latency and Reliability in 5G Internet-of-Things Networks

被引:0
|
作者
Tang, Hengzhao [1 ]
Zhang, Wenhao [1 ]
Hardjawana, Wibowo [1 ]
Vucetic, Branka [1 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
来源
2016 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM) | 2016年
关键词
Spatial Modulation; Massive MIMO; Internet of Things Transmissions;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The transmission from the IoT terminals to a cellular base station (BS) about the state of critical infrastructure such as Smart Grid requires high reliability and low latency. The combination of massive multiple-input-multiple-output (M-MIMO) and spatial modulation (SM) systems, referred to as massive SM-MIMO systems, has been proposed in 5G cellular networks to support these transmissions. Building a practical massive SM-MIMO system is very challenging due to the complexity and latency of BS detection schemes, often ignored in theoretical studies. In this paper we develop low-complexity low-latency massive SM-MIMO detection schemes that are validated in real wireless environment by using software defined radio (SDR) platforms. Our experiments indicate significant out-performances in term of latency and signal-interference-plus-noise ratio with respect to other schemes in the literature.
引用
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页数:5
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