On the benefits of random FDMA schemes in ultra narrow band networks

Ultra narrow band transmission (UNB) systems have already been deployed and have proved to be ultra-efficient for point-to-point communications. This paper presents this technology and gives some insights on the scalability of UNB for a multi-point to point network. This configuration corresponds to an uplink scenario where multiple nodes compete to send their packets, with neither coordination nor feedback from the sink. In particular, we present and analyze two multiple access schemes based on random frequency selection: discrete random FDMA (DR-FDMA) and the new continuous random FDMA (CR-FDMA). An ideal system where the carrier frequencies are exactly obtained is first considered and extended to a more realistic case, with rough carrier frequencies. We analyze the system performance in terms of bit error rate and outage probability. The presented results clearly show that, even if in the ideal case, the DR-FDMA scheme outperforms the CR-FDMA scheme; in the realistic case, both schemes lead to similar performance. Thus, this paper highlights the fact that the use of CR-FDMA is very relevant in a realistic network as it bypasses the need of an accurate carrier frequency control, and thus permits the use of even the cheapest transmitters without loss of performance.

[1]  M. A. Gregory,et al.  Performance analysis of random multiple access protocols used in wireless communication , 2011, 7th International Conference on Broadband Communications and Biomedical Applications.

[2]  Zheng Guoxin,et al.  Typical UNB modulation methods and their spectrums , 2009 .

[3]  Stephanie Boehm Wireless Communications And Networking , 2016 .

[4]  Rekha Jain,et al.  Wireless Sensor Network -A Survey , 2013 .

[5]  Nihar Jindal,et al.  Performance of ALOHA and CSMA in Spatially Distributed Wireless Networks , 2008, 2008 IEEE International Conference on Communications.

[6]  S. Manesis,et al.  A Survey of Applications of Wireless Sensors and Wireless Sensor Networks , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

[7]  Yunghsiang Sam Han,et al.  Analyzing multi-channel medium access control schemes with ALOHA reservation , 2006, IEEE Transactions on Wireless Communications.

[8]  Daniel Roviras,et al.  Multi-user adaptive receivers for a multiple-access system based on random permutations on time-varying frequency-selective channels with unknown delays and coefficients , 2012, IET Commun..

[9]  Kyusun Choi,et al.  An ultra-compact and low-power oven- controlled crystal oscillator design for precision timing applications , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[10]  M. Sakr,et al.  Hybrid DS-FH packet acquisition for frequency hopped random multiple access , 2012, 2012 Japan-Egypt Conference on Electronics, Communications and Computers.

[11]  M. Ouzzif,et al.  Opportunistic Random-Access Scheme Design for OFDMA-Based Indoor PLC Networks , 2012, IEEE Transactions on Power Delivery.

[12]  Yiannis Andreopoulos,et al.  Distributed Time-Frequency Division Multiple Access Protocol for Wireless Sensor Networks , 2012, IEEE Wireless Communications Letters.

[13]  N. Abramson,et al.  Multiple access in wireless digital networks , 1994, Proc. IEEE.

[14]  Fred S. Lee,et al.  A Temperature-to-Digital Converter for a MEMS-Based Programmable Oscillator With $< \pm \hbox{0.5-ppm}$ Frequency Stability and $< \hbox{1-ps}$ Integrated Jitter , 2013, IEEE Journal of Solid-State Circuits.