Optimization of ultra-narrowband wireless communication: An experimental case study

Solc, Tomaz; Gale, Timotej; Fortuna, Carolina

doi:10.1109/infcomw.2017.8116432

Cited by 5 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the devices are arbitrarily scheduled to transmit, they select a random transmission microchannel from the whitelist, where potentially the impact of interference is mitigated up to a certain level. More technical details about the experimental set-up are provided in [6], and the code 3 as well as the datasets 4 that we were able to release under an open source license are available on GitHub.…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

“…To test the stationarity and discover the length of temporal channel coherence, we employ a technique discussed in [32]. Initially, the spectrum data are partitioned into channels, where each channel is then split into a sequence of m non-overlapping intervals of length l. Independent hypothesis tests 6 for distribution fitting of data in addition to mean and variance stationarity tests are performed on each consecutive pair of intervals, totaling m − 1 pairwise comparisons per channel. Supposing that two consecutive intervals form a window of length 2l which is considered stationary if the null hypothesis on the corresponding intervals is satisfied.…”

Section: Discussion On Channel Coherencementioning

confidence: 99%

“…The offset between clocks and frequency references in the test device and the spectrum sensor was determined by matching transmission times and frequencies with the corresponding peaks in the power spectral density. The experimental set-up and the implementation details are similar to those used in [6], which utilizes elements of the Fed4FIRE+ LOG-a-TEC 5 testbed [31].…”

Section: A Empirical Datamentioning

confidence: 99%

“…Therefore, considering the assumptions of the tests and 28 days of data recordings, it is safe to say that updating channels of whitelist after every 37 minutes highly likely guarantees to exploit relatively better channels for uplink transmissions. 6 Kolmogorov-Smirnov, ANOVA and Levene's test. Additionally, one way to ensure the up-to-date whitelist and to minimize the overheads incurred by the transmission of whitelists is to update channels of the whitelist just before the uplink transmissions are initiated, so that about 37 minutes time frame guarantees a highly likely unchanged whitelist for these uplink transmissions.…”

Section: A Temporal Coherence Thresholdmentioning

confidence: 99%

“…focus on the coexistence of different technologies in the 2.4 GHz and 5 GHz bands [5] and very little is known about the coexistence of different technologies in sub-GHz bands, particularly in terms of the detrimental impact of the interference arriving both from intra-and inter-technology devices, i.e. devices belonging to the same and different technology, respectively [6].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Whitelisting in RFDMA Networks

et al. 2019

Self Cite

View full text Add to dashboard Cite

Uplink transmissions, within coexisting distinct sub-GHz technologies operating in the same unlicensed band, can be exposed to detrimental impact of the interference. In such scenarios, transmission scheduling becomes important for mitigating interference or minimizing the impact of the interference. For this purpose, we aim to whitelist relatively better channels in terms of their yielded packet reception ratio using our proposed channel quality metric that is based on the received signal-to-interference-plusnoise ratio. In this paper, we investigate the trade-offs of the channel whitelisting in random frequency division multiple access (RFDMA) networks in the presence of the cumulative intra-and inter-technology interferences. Our main findings indicate that, although channel whitelisting reduces the degree of freedom, and thus the overall capacity, it empowers a certain amount of devices to be served at a much lower received signal power, whereas this is infeasible for non-whitelisting scenarios at larger received signal power, which signifies the energy conservation ability of our proposed whitelisting method. It is experimentally demonstrated, on Sigfox, a particular type of RFDMA network, that non-whitelisting scenarios are not capable of supporting any devices at a received signal power below −118 dBm. Even for lower received signal power, we are able to reduce the required number of retransmissions at the same reception probability, which indeed indicates that the overall reliability of the network is improved. INDEX TERMS Aloha, inter-technology interference, Internet of things, RFDMA, whitelisting.

show abstract

Section: Experimental Setup and Resultsmentioning

confidence: 99%

Section: Discussion On Channel Coherencementioning

confidence: 99%

Section: A Empirical Datamentioning

confidence: 99%

Section: A Temporal Coherence Thresholdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Whitelisting in RFDMA Networks

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

Performance assessment of long‐range and Sigfox protocols with mobility support

Oliveira

Rodrigues

Kozlov

et al. 2019

Int J Communication

View full text Add to dashboard Cite

Summary Low‐power wide area networks (LP‐WANs) protocols are considered options to meet the requirements of Internet of Things (IoT) solutions that need long‐range communication with low power consumption. Few studies intended to evaluate the performance of the same class of protocols coexisting in the same environment and with mobility support. This paper explores the technical characteristics of Sigfox and long‐range (LoRa) protocols and presents a performance evaluation study considering mobility scenarios. The experiments were performed in real environments. Then, two prototypes for LoRa and Sigfox equipped with Global Positioning System (GPS) were created. Quantitative and qualitative performance metrics were also proposed for this study. The results showed that the coexistence between these protocols has soft impact on the performance presented. Because of the movement, the effects of Doppler, multipath, and signal fading hardly affect the performance of both protocols.

show abstract

An Adaptive Channel Quality Metric for Ultra-Narrowband Systems

Solc

Fortuna

2018

2018 European Conference on Networks and Communications (EuCNC)

View full text Add to dashboard Cite

Optimization of ultra-narrowband wireless communication: An experimental case study

Cited by 5 publications

References 10 publications

Whitelisting in RFDMA Networks

Whitelisting in RFDMA Networks

Performance assessment of long‐range and Sigfox protocols with mobility support

An Adaptive Channel Quality Metric for Ultra-Narrowband Systems

Contact Info

Product

Resources

About