Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-16T05:18:49.769Z Has data issue: false hasContentIssue false

Effect of spectrally aware tunable front ends on wireless communication systems

Published online by Cambridge University Press:  28 August 2013

Seongheon Jeong*
Affiliation:
Purdue University, West Lafayette, IN, USA
William J. Chappell
Affiliation:
Purdue University, West Lafayette, IN, USA
*
Corresponding author: S. Jeong Email: [email protected]

Abstract

In this paper, the benefits of adaptive preselect filtering are investigated by analyzing mote-to-mote throughput in the presence of interference. In a city-wide deployment of a sensor network, of the 150 wireless sensor nodes deployed in our urban test system, five nodes were electrically “lost”. Surprisingly, the limiting factor was not the signal strength, but the neighboring cell towers that caused nearby interference. Therefore, we explored the effect of an adaptive front end to mitigate these nearby interferers. The sensor motes operated at a fixed band, the unlicenced band of 902 to 928 MHz, and did not have the frequency adaptability of future cognitive radios. However, the effect was demonstrative of the potential benefits of adaptive preselect filtering. The measured result shows substantial improvements over the fixed band system by even slight tuning of the bandwidth and/or the center frequency of the preselect filter. Experimentally and numerically, we show that both tuning in the filter bandwidth and/or center frequency can significantly improve the packet reception rate. Guidelines for achieving an optimized filtering technique are given to provide a broad understanding of how the adaptable preselect filtering can be utilized.

Type
Research Papers
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1]Mitola, J.: The software radio architecture. IEEE Commun. Mag., 33 (5) (1995), 2638.Google Scholar
[2]Chen, Y.E.; Yang, L.; Yeh, W.: An integrated wideband power amplifier for cognitive radio. IEEE Trans. Microw. Theory Tech., 55 (10) (2007), 20532058.Google Scholar
[3]Djoumessi, E.E.; Tatu, S.O.; Wu, K.: Frequency-Agile dual-band direct conversion receiver for cognitive radio systems. IEEE Trans. Microw. Theory Tech., 58 (1) (2010), 8794.CrossRefGoogle Scholar
[4]Huang, P.-C.; Tsai, Z.-M.; Lin, K.-Y.; Wang, H.: A high-efficiency, broadband CMOS power amplifier for cognitive radio applications. IEEE Trans. Microw. Theory Tech., 58 (12) (2010), 35563565.Google Scholar
[5]Choi, K.W.: Adaptive sensing technique to maximize spectrum utilization in cognitive radio. IEEE Trans. Veh. Technol., 59 (2009), 992998.Google Scholar
[6]Li, C.-J.; Wang, F.-K.; Horng, T.-S.; Peng, K.-C.: A novel RF sensing circuit using injection locking and frequency demodulation for cognitive radio applications. IEEE Trans. Microw. Theory Tech., 57 (12) (2009), 31433152.Google Scholar
[7]Datla, D.; Rajbanshi, R.; Wyglinski, A.M.; Minden, G.J.: An adaptive spectrum sensing architecture for dynamic spectrum access networks. IEEE Trans. Wirel. Commun., 8 (8) (2009), 42114219.Google Scholar
[8]Berezdivin, R.; Breinig, R.; Topp, R.: Next-generation wireless communication concepts and technologies. IEEE Commun. Mag., 40 (2002), 108116.Google Scholar
[9]Nath, J. et al. : An electronically tunable microstrip bandpass filter using thin-film Barium-Strontium-Titanate (BST) varactors. IEEE Trans. Microw. Theory Tech., 53 (9) (2005), 27072712.CrossRefGoogle Scholar
[10]Chun, Y.-H.; Shaman, H.; Hong, J.-S.: Switchable embedded notch structure for UWB bandpass filter. IEEE Microw.mpon. Lett., 18 (9) (2008), 590592.Google Scholar
[11]Matthaei, G.L.; Jones, E.M.T.: Microwave Filters, Impedance Matching Networks and Coupling Structures, McGraw-Hill, New York, 1980.Google Scholar
[12]Hunter, I.C.; Rhodes, J.D.: Electronically tunable microwave bandpass filters. IEEE Trans. Microw. Theory Tech., 30 (9) (1982), 13541360.CrossRefGoogle Scholar
[13]Brown, A.R.; Rebeiz, G.M.: A varactor-tuned RF filter. IEEE Trans. Microw. Theory Tech., 48 (7) (2000), 11571160.CrossRefGoogle Scholar
[14]Abbaspour-Tamijani, A.; Dussopt, L.; Rebeiz, G.M.: Miniature and tunable filters using MEMS capacitors. IEEE Trans. Microw. Theory Tech., 51 (7) (2003), 18781885.CrossRefGoogle Scholar
[15]Lung-Hwa, H.; Chang, K.: Tunable microstrip bandpass filters with two transmission zeros. IEEE Trans. Microw. Theory Tech., 51 (2) (2003), 520525.Google Scholar
[16]Uher, J.; Hoefer, W.J.R.: Tunable microwave and millimeter-wave band-pass filters. IEEE Trans. Microw. Theory Tech., 39 (4) (1991), 643653.CrossRefGoogle Scholar
[17]Joshi, H.; Sigmarsson, H.H.; Moon, S.; Peroulis, D.; Chappell, W.J.: High Q narrowband tunable filters with controllable bandwidth, in IEEE Int. Microwave Symp., June 2009, 629632.Google Scholar
[18]Montestruque, L.; Lemmon, M.D.: CSOnet: a metropolitan scale wireless sensor-actuator network, in Int. Workshop on Mobile Device and Urban Sensing, 2008.Google Scholar
[19]Yeung, L.K.; Wu, K.-L.: A compact second-order LTCC bandpass filter with two finite transmission zeros. IEEE Trans. Microw. Theory Tech., 51 (2) (2003), 337341.Google Scholar
[20]Tsai, L.-C.; Hsue, C.-W.: Dual-band bandpass filters using equal-length coupled-serial-shunted lines and Z-transform technique. IEEE Trans. Microw. Theory Tech., 52 (4) (2004), 11111117.CrossRefGoogle Scholar
[21]Hong, J.-S.; Lancaster, M.J.: Couplings of microstrip square open-loop resonators for cross-coupled planar microwave filters. IEEE Trans. Microw. Theory Tech., 44 (12) (1996), 20992109.Google Scholar
[22]Jeong, S.; Chappell, W.J.: Lost node recovery in a city-wide wireless sensor network using adaptive preselect filtering, in IEEE Int. Microwave Symp., June 2009, 229232.Google Scholar
[23]U.S. Federal Communications Commission. [Online] Available: http://www.fcc.gov/encyclopedia/narrowband-personal-communications-service-pcs (accessed July 2012).Google Scholar
[24]U.S. Federal Communications Commission. [Online] Available: http://wireless.fcc.gov/services/index.htm?job=service_home&id=paging, (accessed July 2012).Google Scholar
[25]Turkboylari, M.; Stuber, G.L.: An efficient algorithm for estimating the signal-to-interference ratio in TDMA cellular systems. IEEE Trans. Commun., 46 (6) (1998), 728731.Google Scholar
[26]Hamdi, K.A.: On the statistics of signal-to-interference plus noise ratio in wireless communications. IEEE Trans. Commun., 57 (2009), 31993204.Google Scholar
[27]Zverev, A.I.: Handbook of Filter Synthesis, John Wiley and Sons, New York, 1967.Google Scholar
[28]Blinchikoff, H.J.; Zverev, A.I.: Filtering in the Time and Frequency Domains, John Wiley and Sons, New York, 1976.Google Scholar