Veljko Pejovic
ABSTRACT
White space frequencies are highly attractive for long-distance communication due to greater signal propagation. The lack of standards and licensing issues with increased flexibility provided by the cognitive radio allow for sophisticated customized solutions for white spaces. Rural-area networks are seen as the main beneficiaries and white spaces communication is expected to outperform current wireless solutions in this domain. However, rural networks often have to rely on a constrained energy budget and highly benefit from energy-efficient operation.
We investigate the efficiency of flexible wireless transmission over long-distance white space links. We theoretically and experimentally examine the impact of channel width, modulation and coding and transmission amplitude on energy consumption. From our findings we derive the physical layer parameter settings that achieve energy optimality and develop PowerRate, a protocol that dynamically adjusts transmission parameters according to channel state. We implement PowerRate in GNUradio and evaluate its energy-saving potential in various fading environments.
- }}G. Bernardi, P. Buneman, and M. K. Marina. Tegola Tiered Mesh Network Testbed in Rural Scotland. In WiNS-DR'08, San Francisco, CA, Sept. 2008. Google Scholar
Digital Library
- }}R. Chandra, R. Mahajan, T. Moscibroda, R. Raghavendra, and P. Bahl. A Case for Adapting Channel Width in Wireless Networks. In SIGCOMM'08, Seattle, WA, August 2008. Google ScholarDigital Library
- }}K. Chebrolu, B. Raman, and S. Sen. Long-distance 802.11b Links: Performance Measurements and Experience. In MobiCom'06, Los Angeles, CA, Sept. 2006. Google ScholarDigital Library
- }}C. Cordeiro, K. Challapali, D. Birru, B. Manor, and S. Diego. IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios. Journal of Communications, 1(1):38--47, 2006.Google Scholar
- }}S. Deb, V. Srinivasan, and R. Maheshwari. Dynamic Spectrum Access in DTV Whitespaces: Design Rules, Architecture and Algorithms. In MobiCom'09, Beijing, China, September 2009. Google ScholarDigital Library
- }}G. Judd and P. Steenkiste. Using Emulation to Understand and Improve Wireless Networks and Applications. In NSDI'05, Boston, MA, May 2005. Google ScholarDigital Library
- }}J. Liu, H. Arslan, L. Dunleavy, A. Webster, and J. Paviol. Impact of Carrier Frequency Dependent Power Amplifier Behavior on 802.11a WLAN System. In 7th European Conference on Microwave Technology (EuMW), Amsterdam, Netherlands, October 2004.Google Scholar
- }}J. Liu and L. Zhong. Micro power management of active 802.11 interfaces. In MobiSys'08, Breckenridge, CO, June 2008. Google ScholarDigital Library
- }}G. W. Miao, N. Himayat, and G. Y. Li. Energy-Efficient Link Adaptation in Frequency-Selective Channels. IEEE Transactions on Communications, to appear (accepted Apr. 2009). Google ScholarDigital Library
- }}G. Nychis, T. Hottelier, Z. Yang, S. Seshan, and P. Steenkiste. Enabling MAC Protocol Implementations on Software-Defined Radios. In NSDI'09, Boston, MA, April 2009. Google ScholarDigital Library
- }}R. Patra, S. Nedevschi, S. Surana, A. Sheth, L. Subramanian, and E. Brewer. WiLDNet: Design and Implementation of High Performance WiFi Based Long Distance Networks. In NSDI'07, Cambridge, MA, USA, April 2007. Google ScholarDigital Library
- }}B. Radunovic, D. Gunawardena, P. Key, A. Proutiere, N. Singh, V. Balan, and G. Dejean. Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-duplex. In WiMesh'10, Boston, MA, June 2010.Google ScholarCross Ref
- }}H. Rahul, F. Edalat, D. Katabi, and C. Sodini. Frequency-Aware Rate Adaptation and MAC Protocols. In MobiCom'09, Beijing, China, September 2009. Google ScholarDigital Library
- }}B. Raman and K. Chebrolu. Design and Evaluation of a new MAC Protocol for Long-Distance 802.11 Mesh Networks. In MobiCom'05, Cologne, Germany, August/September 2005. Google ScholarDigital Library
- }}A. Sheth, S. Nedevschi, R. Patra, S. Surana, E. Brewer, and L. Subramanian. Packet Loss Characterization in WiFi-Based Long Distance Networks. In INFOCOM'07, Anchorage, AK, May 2007.Google Scholar
- }}S. Surana, R. Patra, S. Nedevschi, M. Ramos, L. Subramanian, Y. Ben-David, and E. Brewer. Beyond Pilots: Keeping Rural Wireless Networks Alive. In NSDI'08, San Francisco, CA, April 2008. Google ScholarDigital Library
- }}D. Tse and P. Viswanath. Fundamentals of Wireless Communication. Cambridge Press, 2005. Google ScholarDigital Library
- }}M. Vutukuru, H. Balakrishnan, and K. Jamieson. Cross-layer Wireless Bit Rate Adaptation. In SIGCOMM'09, Barcelona, Spain, August 2009. Google ScholarDigital Library
- }}L. Yang, W. Hou, L. Cao, B. Y. Zhao, and H. Zheng. Supporting Demanding Wireless Applications with Frequency-agile Radios. In NSDI'10, San Jose, CA, April 2010. Google ScholarDigital Library
Index Terms
- Energy-efficient communication in next generation rural-area wireless networks
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