Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-19T09:16:51.327Z Has data issue: false hasContentIssue false

10 - Power management for base stations in a smart grid environment

from Part III - Base station power-management techniques for green radio networks

Published online by Cambridge University Press:  05 August 2012

Xiao Lu
Affiliation:
Nanyang Technological University, Singapore
Dusit Niyato
Affiliation:
Nanyang Technological University, Singapore
Ping Wang
Affiliation:
Nanyang Technological University, Singapore
Ekram Hossain
Affiliation:
University of Manitoba, Canada
Vijay K. Bhargava
Affiliation:
University of British Columbia, Vancouver
Gerhard P. Fettweis
Affiliation:
Technische Universität, Dresden
Get access

Summary

Introduction

The overall contribution of cellular network operators to the entire human CO2 emissions is estimated at 2.5% in the US [1]. About 60% – 80% originates from wireless base stations (BSs) [2]. As current cellular network architectures are designed to cope with peak load and degraded conditions, underutilization of them occurs most of the time. A recent study [3] shows that the average power-consumption of the traditional BS amounts to nearly 850 W, with only up to 40 W power consumed to transmit from the antennas and the rest wasted even during idle operation. This result indicates that there is much room for power savings in today's cellular networks.

In this chapter, we consider the problem of power management for BSs with a renewable power source in a smart grid environment. In Section 10.2, we first provide an introduction to green wireless communications with the focus on two closely related research fields, i.e. renewable power source and smart grid. Then, we provide an overview of the power-management approaches for BS, which consists of two major directions, i.e. BS power control and smart BS operation. The former is achieved at the equipment level, while the latter can be realized at the system/network level. Afterwards, we discuss some challenges and open issues with regard to power management for BS. In Section 10.3, we present the power-consumption model for a BS. Specifically, the power-consuming components are first introduced and analyzed. Moreover, we present two power-consumption models, one for macro BSs that contain a static power-consumption part only, and the other for micro BSs that additionally consist of a dynamic power-consumption part.

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] Global e-sustainability initiative, GeSISmart 2020: enabling the low carbon economy in the information age,” June 2008.
[2] M. A., Marsan et al., “Optimal energy savings in cellular access networks,” in Proc. of First International Workshop on Green Communications, Dresden, Germany, June 2009.Google Scholar
[3] A., Corliano and M., Hufschmid, “Energieverbrauch der mobilen Kommunikation,” Bundesamt fur Energie, Ittigen, Switzerland, Technical Report, in German, February 2008.Google Scholar
[4] T.A., Weiss and F. K., Jondral, “Spectrumpooling: an innovative strategy for the enhancement of spectrum efficiency,” IEEE Communications Magazine, vol. 42, no. 3, pp. 8–14, August 2004.Google Scholar
[5] A., Willig, “Redundancy concepts to increase transmission reliability in wireless industrial LANs,” IEEE Transactions on Industrial Informatics, vol. 1, no. 3, pp. 173–182, August 2005.Google Scholar
[6] U., Toseef et al., “User satisfaction based resource allocation in future heterogeneous wireless networks,” in Proc. of Annual Communication Networks and Services Research Conference, pp. 217–223, Ottawa, ON, Canada, May 2011.Google Scholar
[7] Ericsson, , “Green power to bring mobile telephony to billions of people,” 2008. [Online]. Available: www.ericsson.com/ericsson/press/videos/2008/081215-green-power.shtmlGoogle Scholar
[8] A., Kumar et al., “Sustainability in wireless mobile communication networks through alternative energy resources,” International Journal of Computer Science and Technology, vol. 1, no. 2, pp. 196–201, December 2010.Google Scholar
[9] J., Gozalvez, “Green radio technologies [Mobile Radio],” IEEE Vehicular Technology Magazine, vol. 5, no. 1, pp. 9–14, March 2010.Google Scholar
[10] M., Belfqih et al., “Joint study on renewable energy application in base transceiver stations,” in Proc. of International Telecommunications Energy Conference, Seoul, Korea, October 2009.Google Scholar
[11] Y., He and R., Yuan, “A novel scheduled power saving mechanism for 802.11 Wireless LANs,” IEEE Transactions on Mobile Computing, vol. 8, no. 10, pp. 1368–1383, February 2009.Google Scholar
[12] F., Zhang and S. T., Chanson, “Improving communication energy efficiency in wireless networks powered by renewable energy sources,” IEEE Transactions on Vehicular Technology, vol. 54, no. 6, pp. 2125–2136, November 2005.Google Scholar
[13] G. H., Badawy, A.A., Sayegh, and T. D., Todd, “Energy provisioning in solar-powered wireless mesh networks,” IEEE Transactions on Vehicular Technology, vol. 59, no. 8, pp. 3859–3871, October 2010.Google Scholar
[14] B., Heile, “Smart grids for green communications [industry perspectives],” IEEE Wireless Communications, vol. 17, no. 3, pp. 3–6, June 2010.Google Scholar
[15] A. H., Mohsenian-Rad and A., Leon-Garcia, “Coordination of cloud computing and smart power grids,” in Proc. of IEEE Smart Grid Communications Conference, Gaithersburg, USA, October 2010.Google Scholar
[16] W., Jai and W., Zhou, Distributed Network Systems. New York: Springer, 2005.Google Scholar
[17] F., Richter, A. J., Fehske, and G. P., Fettweis, “Energy efficiency aspects of base station deployment strategies for cellular networks,” in Proc. of IEEE Vehicular Technology Conference, Anchorage, Alaska, USA, September 2009.Google Scholar
[18] H., Kim and G., de Veciana, “Leveraging dynamic spare capacity in wireless systems to conserve mobile terminals energy,” IEEE/ACM Trans. on Networking, vol. 18, no. 3, pp. 802–815, June 2010.Google Scholar
[19] G. W., Miao et al., “Cross-layer optimization for energy-efficient wireless communications: a survey,” Wiley Journal Wireless Communications and Mobile Computing, vol. 9, no. 4, pp. 529–542, April 2009.Google Scholar
[20] L., Chiaraviglio, M., Mellia, and F., Neri, “Energy-aware backbone networks: a case study,” in Proc. of First International Workshop on Green Communications, Dresden, Germany, June 2009.Google Scholar
[21] M., Chiang et al., “Power control in wireless cellular networks,” Foundations and Trends in Networking, vol. 2, no. 4, pp. 381–533, 2008.Google Scholar
[22] H. B., Salameh, M., Krunz, and O., Younis, “Cooperative adaptive spectrum sharing in cognitive radio networks,” IEEE/ACM Transactions on Networking, vol. 18, no. 4, pp. 1181–1194, August 2010.Google Scholar
[23] J.W., Lee, R. R., Mazumdar, and N. B., Shroff, “Opportunistic power scheduling for dynamic multi-server wireless systems,” IEEE Transactions on Wireless Communications, vol. 5, no. 6, pp. 1506–1515, June 2006.Google Scholar
[24] D., Tse and P., Viswanath, Fundamentals of Wireless Communications. Cambridge University Press, 2005.Google Scholar
[25] Y., Liu and E., Knightly, “Opportunistic fair scheduling over multiple wireless channels,” in Proc. of IEEE International Conference on Computer Communications, San Francisco, CA, USA, April 2003.Google Scholar
[26] J., Lee, R., Mazumdar, and N., Shroff, “Joint resource allocation and base-station assignment for the downlink in CDMA networks,” IEEE/ACM Transactions on Networking, vol. 14, no. 1, pp. 1–14, February 2006.Google Scholar
[27] B., Hochwald and S., Vishwanath, “Space-timemultiple access: linear growth in the sumrate,” in Proc. of Allerton Conference on Communication, Control and Computing, Monticello, Illinois, USA, October 2002.Google Scholar
[28] M., Sharif and B., Hassibi, “Acomparison of time-sharing, DPC, and beamforming for MIMO broadcast channels with many users,” IEEE Transactions on Communications, vol. 55, no. 1, pp. 11–15, January 2007.Google Scholar
[29] F., Rashid-Farrokhi, K. J. R., Liu, and L., Tassiulas, “Transmit beamforming and power control for cellular wireless systems,” IEEE Journal of Selected Areas in Communications, vol. 16, no. 8, pp. 1437–1450, October 1998.Google Scholar
[30] E., Visotsky and U., Madhow, “Optimum beamforming using transmit antenna arrays,” in Proc. of IEEE Vehicular Technology Conference, Houston, USA, May 1999.Google Scholar
[31] M., Bengtsson and B., Ottersten, “Optimal downlink beamforming using semidefinite optimization,” in Proc. of Allerton Conference on Communication, Control and Computing, Allerton House, Illinois, USA, September 1999.Google Scholar
[32] D., Samuelsson, M., Bengtsson, and B., Ottersten, “An efficient algorithm for solving the downlink beamforming problem with indefinite constraints,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, USA, March 2005.Google Scholar
[33] M., Schubert and H., Boche, “Solution of the multi-user downlink beamforming problem with individual SIR constraints,” IEEE Transactions on Vehicular Technology, vol. 53, no. 1, pp. 18–28, January 2004.Google Scholar
[34] H., Boche and M., Schubert, “Ageneral duality theory for uplink and downlink beamforming,” in Proc. of IEEE Vehicular Technology Conference, Boston, MA, USA, September 2000.Google Scholar
[35] W., Yu, “Uplink-downlink duality via minimax duality,” IEEE Transactions on Information Theory, vol. 52, no. 2, pp. 361–374, February 2006.Google Scholar
[36] P., Viswanath and D., Tse, “Sum capacity of the multiple antenna gaussian broadcast channel and uplink-downlink duality,” IEEE Transactions on Information Theory, vol. 49, no. 8, pp. 1912–1921, August 2003.Google Scholar
[37] R. D., Yates and C.-Y., Huang, “Integrated power control and base station assignment,” IEEE Transactions on Vehicular Technology, vol. 44, no. 3, pp. 638–644, August 1995.Google Scholar
[38] F., Rashid-Farrokhi, K., Liu, and L., Tassiulas, “Downlink power control and base station assignment,” IEEE Communications Letters, vol. 1, no. 4, pp. 102–104, July 1997.Google Scholar
[39] F., Rashid-Farrokhi, K., Liu, and L., Tassiulas, “Downlink and uplink capacity enhancement in power controlled cellular systems,” in Proc. of IEEE Vehicular Technology Conference, Phoenix, AZ, USA, May 1997.Google Scholar
[40] M., Bengtsson, “Jointly optimal downlink beamforming and base station assignment,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, UT, USA, May 2001.Google Scholar
[41] D., Willkomm et al., “Primary user behavior in cellular networks and implications for dynamic spectrum access,” IEEE Communications Magazine, vol. 47, no. 3, pp. 88–95, March 2009.Google Scholar
[42] L., Chiaraviglio et al., “Energy-aware UMTS access networks,” International Workshop on Green Wireless, Apland, Finland, September 2008.Google Scholar
[43] L., Saker, S.-E., Elayoubi, and H. O., Scheck, “System selection and sleep mode for energy saving in cooperative 2G/3G networks,” in Proc. of IEEE Vehicular Technology Conference, Anchorage, Alaska, USA, September 2009.Google Scholar
[44] L., Saker and S-E., Elayoubi, “Sleep mode implementation issues in green base stations,” in Proc. of International Symposium on Personal, Indoor and Mobile Radio Communications, Istanbul, Turkey, September 2010.Google Scholar
[45] L., Saker, S-E., Elayoubi, and T., Chahed, “Minimizing energy consumption via sleep mode in green base station,” in Proc. of IEEE Wireless Communication & Networking Conference, Sydney, Australia, April 2010.Google Scholar
[46] W., Rui, J. S., Thompson, and H., Haas, “A novel time-domain sleep mode design for energy-efficient LTE,” in Proc. of International Symposium on Communication, Control and Signal Processing, Limassol, Cyprus, March 2010.Google Scholar
[47] I., Haratcherev, C., Balageas, and M., Fiorito, “Low consumption home femto base stations,” in Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, Japan, September 2009.Google Scholar
[48] I., Ashraf, F., Boccardi, and L., Ho, “Power savings in small cell deployments via sleep mode techniques,” in Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications Workshop, Istanbul, Turkey, September 2010.Google Scholar
[49] K., Son et al., “Base station operation and user associationmechanisms for energy-delay trade-offs in green cellular networks,” USC CENG Technical Report (CENG-2010-11), August 2010.Google Scholar
[50] V., Sreng, “Capacity enhancement through two-hop relaying in cellular radio systems,” Master's thesis, Carleton University, January 2002.Google Scholar
[51] J., Vidal et al., “Multihop networks for capacity and coverage enhancement in TDD/UTRAN,” Mediterranean Ad Hoc Networking, Sardegna, Italy, September 2002.Google Scholar
[52] H., Hu and H., Yanikomeroglu, “Performance analysis of cellular networks with digital fixed relays,” Wireless World Research Forum, pp. 27–28, NY, USA, October 2003.Google Scholar
[53] A., Molina, E., Tameh, and A., Nix, “The optimization of fixed relay location to enhance the performance of a 3G microcellular network,” IST Mobile Communications Summit, pp. 27–30, Lyon, France, June 2004.Google Scholar
[54] O., Simeone et al., “Throughput of low-power cellular systemswith collaborative base stations and relaying,” IEEE Transactions on Information Theory, vol. 54, no. 1, January 2008.Google Scholar
[55] J-Y., Song, H-J., Lee, and D-H., Cho, “Power consumption reduction bymulti-hop transmission in cellular networks,” in Proc. of IEEE Vehicular Technology Conference, Los Angeles, CA, USA, September 2004.Google Scholar
[56] G. N., Aggelou and R., Tafazolli, “On the relaying capability of next generation GSM cellular network,” IEEE Personal Communications, vol. 8, no. 1, pp. 40–47, February 2001.Google Scholar
[57] T. J., Harrold and A.R., Nix, “Intelligent relaying for future personal communication systems,” IEE Colloquium on Capacity and Range Enhancement Techniques for Third Generation Mobile Communications and Beyond, February 2000.Google Scholar
[58] N., Badruddin and R., Negi, “Capacity improvement in a CDMA system using relaying,” in Proc. of Wireless Communication & Networking Conference, pp. 243–248, Atlanta, GA, USA, March 2004.Google Scholar
[59] B., Wang and D., Zhao, “Downlink power distribution in awirelessCDMAnetworkwith cooperative relaying,” in Proc. of IEEE International Conference on Communications, Dresden, Germany, June 2009.Google Scholar
[60] B., Sirkeci-Mergen and A., Scaglione, “On the power efficiency of cooperative broadcast in dense wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 2, pp. 497–507, February 2007.Google Scholar
[61] Z., Yang, J., Liu, and A., Host-Madsen, “Cooperative routing and power allocation in ad-hoc networks,” in Proc. of IEEE Global Telecommunications Conference, St. Louis, MO, USA, November 2005.Google Scholar
[62] J., Luo et al., “New approaches for cooperative use of multiple antennas in ad-hoc wireless networks,” in Proc. of IEEE Vehicular Technology Conference, Los Angeles, California, USA, September 2004.Google Scholar
[63] M., Schubert and H., Boche, “Iterative multiuser uplink and downlink beamforming under individual SINR constraints,” IEEE Transaction on Signal Processing, vol. 53, no. 7, pp. 2324–2334, July 2005.Google Scholar
[64] F., Rashid-Farrokhi, L., Tassiulas, and K. J. R., Liu, “Joint optimal power control and beamforming in wireless networks using antenna arrays,” IEEE Journal of Selected Areas in Communications, vol. 46, no. 10, pp. 1313–1324, October 1998.Google Scholar
[65] P., Bahl et al., “Cell breathing in wireless LANs: algorithms and evaluation,” IEEE Transactions on Mobile Computing, vol. 6, no. 2, pp. 164–178, December 2007.Google Scholar
[66] F., Richter and G. P., Fettweis, “Cellular mobile network densification utilizing micro base stations,” in Proc. of IEEE International Conference on Communications, Cape Town, South Africa, May 2010.Google Scholar
[67] Keynote Speech, “Green radio and cognitive radio,” in Proc. of International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Hannover, Germany, June 2009.
[68] V., Chandrasekhar, J., Andrews, and A., Gatherer, “Femtocell networks: a survey,” IEEE Communications Magazine, vol. 46, no. 9, pp. 59–67, September 2008.Google Scholar
[69] O., Arnold et al., “Power consumption modeling of different base station types in heterogeneous cellular networks,” in Proc. of 19th Future Network & Mobile Summit, Florence, Italy, June 2010.Google Scholar
[70] C., Wei, “Aconceptual framework of smart grid,” Power and Energy Engineering Conference, Wuhan, China, March 2010.Google Scholar
[71] B., Kirby and E., Hirst, “Load as a resource in providing ancillary services,” Technical report, Oak Ridge National Laboratory, 1999.Google Scholar
[72] T., Liu, W. G., Pell, and B. E., Conway, “Self-discharge and potential recovery phenomena at thermally and electrochemically prepared RuO2 super capacitor electrodes,” Electrochimica Acta, vol. 42, no. 23, pp. 3541–3552, Ottawa, ON, Canada, April 1998.Google Scholar
[73] The smart grid: an introduction. The US Department of Energy, 2008.
[74] K., Ponnambalam et al., “Comparison of methods for battery capacity design in renewable energy systems for constant demand and uncertain supply,” in Proc. of IEEE International Conference on the European Energy Market, Madrid, Spain, June 2010.Google Scholar
[75] F. J., Heredia, M. J., Rider, and C., Corchero, “Optimal bidding strategies for thermal and generic programming units in the day-ahead electricity market,” IEEE Transactions on Power Systems, vol. 25, no. 3, pp. 1504–1518, August 2010.Google Scholar
[76] B. M., Epstein and M., Schwartz, “Predictive QoS-based admission control for multiclass traffic in cellular wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 18, no. 3, pp. 523–534, March 2000.Google Scholar
[77] J. R., Birge and F., Louveaux, Introduction to Stochastic Programming. Springer, July 1997.Google Scholar
[78] Y., Fang and Y., Zhang, “Call admission control schemes and performance analysis in wireless mobile networks,” IEEE Transactions on Vehicular Technology, vol. 51, no. 2, pp. 371–382, March 2002.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
×