Skip to main content Accessibility help
×
Hostname: page-component-84b7d79bbc-g5fl4 Total loading time: 0 Render date: 2024-07-29T18:23:19.542Z Has data issue: false hasContentIssue false

3 - Future wireless operation, environments, and dynamic spectrum access

from Part I - Overview

Published online by Cambridge University Press:  05 December 2012

Preston Marshall
Affiliation:
University of Southern California
Get access

Summary

Overview

This chapter provides an overview of the growth of wireless architectures that are challenged in terms of both capacity and density spectrum density, and outlines general options for addressing these challenges. One of the premises of this book is that the challenge of operating in dense spectrum will fundamentally change the nature of wireless operation for all spectrum-dependent systems, and that these changes will both require new technology (control, coordination, and decision making as examples) and create new opportunities to fundamentally extend the capabilities of wireless systems, ultimately to the point of comparability with wired delivery modes.

Although this book is not specifically about implementation of dynamic spectrum access (DSA), many of the techniques it describes assume DSA features will be present in future wireless systems. This is not an unreasonable assumption, insofar as both regulatory acceptance and technical necessity would appear to support this spectrum-access modality, for all emerging spectrum applications. DSA has many advantages in terms of enabling increased use of the spectrum, but it is also enabling for even more significant changes in wireless network operation, including the ability of nodes to mitigate interference to themselves from other nodes, locate frequencies with optimal propagation to achieve network density, and manage modulation and bandwidth.

Much of the DSA research literature focuses on achieving interference-free operation. Here, we will use the flexibility provided by DSA to manage a node's own environment.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2012

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

1 P. F., Marshall, “Adaptation and integration across the layers of self organizing wireless networks to achieve performance and scalability,” in IEEE Military Communications Conference (MILCOM), Washington, DC, 2006.Google Scholar
2 P. F., Marshall, “Progress towards affordable, dense and content focused tactical edge networks,” in IEEE Military Communications Conference (MILCOM), Nov. 2008, pp. 1–7.Google Scholar
3 P. F., Marshall, “Dynamic spectrum management of front-end linearity and dynamic range,” in 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, Oct. 14–17, 2008, pp. 1–12.Google Scholar
4 P. F., Marshall, “Recent progress in moving cognitive radio and services to deployment,” in Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks. San Diego, CA: IEEE Computer Society, 2008, pp. 1–8.Google Scholar
5 D., Astely, E., Dahlman, A., Furuskar, Y., Jading, M., Lindstrom, and S., Parkvall, “LTE: The evolution of mobile broadband,” IEEE Communications Magazine, vol. 47, no. 4, pp. 44–51, April 2009.Google Scholar
6 A., Osseiran, E., Hardouin, A., Gouraud, M., Boldi, I., Cosovic, K., Gosse, J., Luo, S., Redana, W., Mohr, J., Monserrat, T., Svensson, A., Tolli, A., Mihovska, and M., Werner, “The road to IMT-advanced communication systems: state-of-the-art and innovation areas addressed by the WINNER +project,” IEEE Communications Magazine, vol. 47, no. 6, pp. 38–47, June 2009.Google Scholar
7 K., Pedersen, T., Kolding, F., Frederiksen, I., Kovacs, D., Laselva, and P., Mogensen, “An overview of downlink radio resource management for UTRAN long-term evolution,” IEEE Communications Magazine, vol. 47, no. 7, pp. 86–93, July 2009.Google Scholar
8 D., Lopez-Perez, A., Valcarce, G. de la, Roche, and J., Zhang, “OFDMA femtocells: a roadmap on interference avoidance,” IEEE Communications Magazine, vol. 47, no. 9, pp. 41–48, Sept. 2009.Google Scholar
9 G., Boudreau, J., Panicker, N., Guo, R., Chang, N., Wang, and S., Vrzic, “Interference coordination and cancellation for 4G networks,” IEEE Communications Magazine, vol. 47, no. 4, pp. 74–81, April 2009.Google Scholar
10 R., Binder, “ALOHANet protocols, ALOHA System Technical Report,” College of Engineering, The University of Hawaii, Technical Report, Sept. 1974.Google Scholar
11 R. M., Metcalfe and D. R., Boggs, “Ethernet: Distributed packet switching for local computer networks,” Communications of the ACM, vol. 19, no. 5, pp. 395–405, July 1976.Google Scholar
12 P. F., Marshall, “From self-forming mobile networks to self-forming content networks,” in Association of Computing Machinery Mobile Communications Conference (MOBICOM) 2008. San Francisco, CA: Keynote, Sept. 2008.Google Scholar
13 P. F., Marshall, “Dynamic spectrum access as a mechanism for transition to interference tolerant systems,” in IEEE 4th International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Singapore, April 2010.Google Scholar
14 M., Al-Ayyoub, M. M., Buddhikot, and H., Gupta, “Self-regulating spectrum management: A case of fractional frequency reuse patterns in LTE networks,” in Proceedings of IEEE DySPAN 2010, Singapore, April 2010.Google Scholar
15 M. M., Buddhikot, “Cognitive radio, DSA and self-X: Toward next transformation in cellular networks,” in Proceedings of IEEE DySPAN 2010, Singapore, April 2010.Google Scholar
16 L. L., Cao, H., Zheng, M., Nekovee, and M., Buddhikot, “Market driven sharing of spectrum in infrastructure networks,” in Cognitive Radio Communications and Network: Principles and Practice. New York: Academic Press, Nov. 2009.Google Scholar
17 P. F., Marshall and P. J., Kolodzy, “A potential alliance for world-wide dynamic spectrum access,” in IEEE 4th I nternational Symposium on New Frontiers in Dynamic Spectrum Access Networks, Singapore, April 2010.Google Scholar
18 M., McHenry, K., Steadman, A., Leu, and E., Melick, “XG DSA radio system,” 3rd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Oct. 2008.Google Scholar
19 P. F., Marshall, “XG communications program information briefing,” in Semantic Web Applications for National Security (SWANS) Conference, April 2005.Google Scholar
20 P. F., Marshall, “DARPA progress in spectrally adaptive radio development,” in Software Defined Radio Forum Technical Conference, 2006.Google Scholar
21 Federal Communications Commission, “Connecting America: The National Broadband Plan,” 2010.
22 ITU-T Telecommunications Standardization Sector, ITU Recommendation X.200 Information Technology – Open Systems Interconnection – Basic Reference Model: The Basic Model. Geneva: International Telecommunication Union, July 1994.
23 A., Sadek, W., Zhang, and S., Shellhammer, “Listen-before-talk versus treating interference as noise for spectrum sharing,” in 3rd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DYSPAN), Oct. 2008.Google Scholar
24 A. P., Jardosh, K. N., Ramachandran, and K., Belding-Royer, “Understanding congestion in IEEE 802.11b wireless networks,” in Proceedings of the Fifth ACM Internet Measurement Conference, Oct. 2005, pp. 279–292.Google Scholar
25 M., McHenry, E., Livsics, N., Thao, and N., Majumdar, “XG dynamic spectrum access field test results,” IEEE Communications Magazine, vol. 45, no. 6, pp. 51–57, June 2007.Google Scholar
26 M., McHenry, E., Livsics, N., Thao and N., Majumdar, “XG dynamic spectrum sharing field test results,” in IEEE 3rd International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Chicago, IL, 2007.Google Scholar
27 K., Doppler, M., Rinne, C., Wijting, C., Ribeiro, and K., Hugl, “Device-to-device communication as an underlay to LTE-Advanced networks,” IEEE Communications Magazine, vol. 47, no. 12, pp. 42–49, Dec. 2009.Google Scholar
28 B., Kim, J., Yun, Y., Hur, C., So-In, R., Jain, and A., Tamimi, “Capacity estimation and TCP performance enhancement over mobile WiMAX networks,” IEEE Communications Magazine, vol. 47, no. 6, pp. 132–141, June 2009.Google Scholar
29 FCC Office of Engineering and Technology, Evaluation of the Performance of Prototype TV-Band White Space Devices Phase II, OET Report FCC/OET 08-TR-1005, Oct. 15, 2008.
30 United States Federal Communications Commission, Spectrum Policy Task Force Report. ET Docket No. 02-135, Nov. 2002.
31 United States Federal Communications Commission, Notice of Proposed Rulemaking in the Matter of Unlicensed Operation in the TV Broadcast Bands. Docket 04-186, May 13, 2004.
32 FCC Office of Engineering and Technology, Initial Evaluation of the Performance of Prototype TV-Band White Space Devices, July 2007.
33 United States Federal Communications Commission, Notice of Proposed Rule Making in the Matter of Promoting More Efficient Use of Spectrum Through Dynamic Spectrum Use Technologies. ET Docket No. 10-237, Nov. 30, 2010.
34 QinetiQ, Cognitive Radio Technology: A Study for OFCOM – Summary Report, Feb. 2007.
35 Office of Communications (OFCOM) (UK), A Study into Dynamic Spectrum Access, March 7, 2007.
36 M., Cave, C., Doyle, and W., Webb, Essentials of Modern Spectrum Management. Cambridge: Cambridge University Press, 2007.Google Scholar
37 G. R., Faulhaber and D. J., Farber, Spectrum Management: Property Rights, Markets, and the Commons, AEI–Brookings Joint Center for Regulatory Studies Working Paper 02-12, Dec. 2002.Google Scholar
38 E., Hossain, D., Niyato, and Z., Han, Dynamic Spectrum Access and Management in Cognitive Radio Networks. New York: Cambridge University Press, 2009.Google Scholar
39 A., Ghosh, J., Zhang, J. G., Andrews, and R., Muhamed, Fundamentals of LTE, Upper Saddle River, NJ: Prentice Hall, 2011.Google Scholar
40 E., Dahlman, S., Parkvall, and J., Skold, 4G: LTE/LTE-Advanced for Mobile Broadband. New York: Academic Press/Elsevier, 2011.Google Scholar
41 J., Guerci, Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach. Norwood, MA: Artech House, 2010.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×