Name
Abstract | ||
|---|---|---|
Initial timing acquisition in narrow-band IoT (NB- IoT) devices is done by detecting a periodically transmitted known sequence. The detection has to be done at lowest possible latency, because the RF- transceiver, which dominates downlink power consumption of an NB-IoT modem, has to be turned on throughout this time. Auto-correlation detectors show low computational complexity from a signal processing point of view at the price of a higher detection latency. In contrast a maximum likelihood cross-correlation detector achieves low latency at a higher complexity as shown in this paper. We present a hardware implementation of the maximum likelihood cross-correlation detection. The detector achieves an average detection latency which is a factor of two below that of an auto- correlation method and is able to reduce the required energy per timing acquisition by up to 34%. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/WCNCW.2017.7919084 | 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) |
Keywords | DocType | Volume |
energy-efficient timing acquisition,NB-IoT modem,downlink power consumption,RF-transceiver,autocorrelation detector,low computational complexity,maximum likelihood cross-correlation detector,maximum likelihood cross-correlation detection,narrow-band Internet of Things | Conference | abs/1608.02427 |
ISSN | ISBN | Citations |
2167-8189 | 978-1-5090-5909-6 | 3 |
PageRank | References | Authors |
0.42 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harald Kroll | 1 | 17 | 5.08 |
| Matthias Korb | 2 | 3 | 1.44 |
| Benjamin Weber | 3 | 6 | 2.26 |
| Samuel Willi | 4 | 51 | 2.88 |
| Qiuting Huang | 5 | 399 | 145.90 |