Resource allocation for green communication in relay-based cellular networks

doi:10.1017/CBO9781139084284.016

15 - Resource allocation for green communication in relay-based cellular networks

from Part IV - Wireless access techniques for green radio networks

Published online by Cambridge University Press: 05 August 2012

Umesh Phuyal ,

Satish C. Jha and

Vijay K. Bhargava

Edited by

Ekram Hossain ,

Vijay K. Bhargava and

Gerhard P. Fettweis

Show author details

Umesh Phuyal: Affiliation:
University of British Columbia, Canada
Vijay K. Bhargava: Affiliation:
University of British Columbia, Canada
Ekram Hossain: Affiliation:
University of Manitoba, Canada
Vijay K. Bhargava: Affiliation:
University of British Columbia, Vancouver
Gerhard P. Fettweis: Affiliation:
Technische Universität, Dresden

Book contents

Get access

Summary

Introduction

The energy efficiency of wireless communication systems and their impact on the environment have been largely ignored in the past during the design and implementation of existing wireless networks. Increasing energy-consumption in these networks has been recently identified as a global problem due to its adverse effects on the environment and increasing cost of operation [1]–[5]. Cellular systems constitute a major part of wireless communications and their use in daily life is increasing more than ever [6]. Mobile devices are expected to surpass personal computers as the main web-accessing devices in the near future [7]. Therefore, mobile communications can contribute up to 15-20% of the overall energy-consumption in information and communication technologies (ICT) [7], which can no longer be disregarded.

The total energy-consumption of ICT itself is difficult to estimate because studies vary depending on the definition of ICT, the methodology used to generate the estimates, and the proportion of a device's energy consumption that is attributed to ICT [8, 9]. Several studies have suggested that the fraction of overall electricity consumption due to ICT infrastructure corresponded to around 7.8% in the European Union in 2005 [10], which is expected to rise to 10.9% by 2020. Around 3% of the world's electricity consumption is attributed to ICT, contributing to about 2% of worldwide CO2 emission [1, 9, 11, 12]. It is, therefore, apparent that there is an urgent need to design a sustainable cellular wireless communication system by developing energy-efficient (green) technologies.

Information

Type: Chapter
Information: Green Radio Communication Networks , pp. 331 - 356

DOI: https://doi.org/10.1017/CBO9781139084284.016 [Opens in a new window]

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.)

Book purchase

Temporarily unavailable

References

[1] E., Oh et al., “Toward dynamic energy-efficient operation of cellular network infrastructure,” IEEE Commun. Mag., vol. 49, no. 6, pp. 56–61, Jun. 2011.Google Scholar

[2] L., Correia et al., “Challenges and enabling technologies for energy aware mobile radio networks,” IEEE Commun. Mag., vol. 48, no. 11, pp. 66–72, Nov. 2010.Google Scholar

[3] J., Hoydis, M., Kobayashi, and M., Debbah, “Green small-cell networks,” IEEE Veh. Technol. Mag., vol. 6, no. 1, pp. 37–43, Mar. 2011.Google Scholar

[4] C., Han et al., “Green radio: radio techniques to enable energy-efficient wireless networks,” IEEE Commun. Mag., vol. 49, no. 6, pp. 46–54, Jun. 2011.Google Scholar

[5] R., Devarajan et al., “Energy-aware user selection and power allocation for cooperative communication systemwith guaranteed quality-of-service,” in Proc. of IEEE 12th Canadian Workshop on Information Theory (CWIT), May 2011, pp. 216–220.Google Scholar

[6] J., Gozalvez, “Green radio technologies,” IEEE Veh. Technol. Mag., vol. 5, no. 1, pp. 9–14, Mar. 2010.Google Scholar

[7] T., Chen, H., Kim, and Y., Yang, “Energy efficiency metrics for green wireless communications,” in Proc. WCSP'10, Oct. 2010, pp. 1–6.Google Scholar

[8] R., Bolla et al., “Energy efficiency in the future internet: a survey of existing approaches and trends in energy-aware fixed network infrastructures,” Commun. Surveys Tuts., vol. 13, no. 2, pp. 223–244, 2011.Google Scholar

[9] C., Despins et al., “Leveraging green communications for carbon emission reductions: Techniques, testbeds, and emerging carbon footprint standards,” IEEE Commun. Mag., vol. 49, no. 8, pp. 101–109, Aug. 2011.Google Scholar

[10] European Commission DG INFSO, Impacts of Information and Communication Technologies on Energy Efficiency, Final Report, Sep. 2008.

[11] W., Vereecken et al., “Power consumption in telecommunication networks: overview and reduction strategies,” IEEE Commun. Mag., vol. 49, no. 6, pp. 62–69, Jun. 2011.Google Scholar

[12] H., Bogucka and A., Conti, “Degrees of freedom for energy savings in practical adaptive wireless systems,” IEEE Commun. Mag., vol. 49, no. 6, pp. 38–45, Jun. 2011.Google Scholar

[13] Y., Chen et al., “Fundamental trade-offs on green wireless networks,” IEEE Commun. Mag., vol. 49, no. 6, pp. 30–37, Jun. 2011.Google Scholar

[14] V.-A., Le et al., “Green cooperative communication using threshold-based relay selection protocols,” in Proc. of ICGCS'10, Jun. 2010, pp. 521–526.Google Scholar

[15] I., Krikidis, J., Thompson, and P., Grant, “Cooperative relaying with feedback for lifetime maximization,” in Proc. of IEEE ICC'10, May 2010, pp. 1–6.Google Scholar

[16] E. C., Van der Meulen, “Three-terminal communication channels,” Adv. Appl. Prob., vol. 3, no. 1, pp. 120–154, 1971.Google Scholar

[17] T., Cover and A., El Gamal, “Capacity theorems for the relay channel,” IEEE Trans. Inform. Theory, vol. 25, no. 5, pp. 572–584, Sep. 1979.Google Scholar

[18] G., Fettweis et al., “Field trial results for LTE-advanced concepts,” in Proc. of IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Mar. 2010, pp. 5606–5609.Google Scholar

[19] Z., Niu et al., “Cell zooming for cost-efficient green cellular networks,” IEEE Commun. Mag., vol. 48, no. 11, pp. 74–79, Nov. 2010.Google Scholar

[20] X. J., Li, B.-C., Seet, and P. H. J., Chong, “Multihop cellular networks: technology and economics,” Computer Networks, vol. 52, no. 9, pp. 1825–1837, 2008.Google Scholar

[21] A., Nosratinia, T., Hunter, and A., Hedayat, “Cooperative communication in wireless networks,” IEEE Commun. Mag., vol. 42, no. 10, pp. 74–80, Oct. 2004.Google Scholar

[22] S., Ren and M., van der Schaar, “Distributed power allocation in multi-user multi-channel cellular relay networks,” IEEE Trans. Wireless Commun., vol. 9, no. 6, pp. 1952–1964, Jun. 2010.Google Scholar

[23] S., Kadloor and R., Adve, “Relay selection and power allocation in cooperative cellular networks,” IEEE Trans. Wireless Commun., vol. 9, no. 5, pp. 1676–1685, May 2010.Google Scholar

[24] R., Zhang, C. C., Chai, and Y.-C., Liang, “Joint beamforming and power control for multiantenna relay broadcast channel with QoS constraints,” IEEE Trans. Signal Process., vol. 57, no. 2, pp. 726–737, Feb. 2009.Google Scholar

[25] S., Mousavifar, T., Khattab, and C., Leung, “Lifetime maximization with predictive power management in selective relay networks,” in Proc. of IEEE PIMRC'09, Sep. 2009, pp. 340–344.Google Scholar

[26] U., Phuyal, S. C., Jha, and V. K., Bhargava, “Green resource allocation with QoS provisioning for cooperative cellular network,” in Proc. of IEEE 12th Canadian Workshop on Information Theory (CWIT), May 2011, pp. 206–210.Google Scholar

[27] R., Pabst et al., “Relay-based deployment concepts for wireless andmobile broadband radio,” IEEE Commun. Mag., vol. 42, no. 9, pp. 80–89, Sep. 2004.Google Scholar

[28] V., Sreng, H., Yanikomeroglu, and D., Falconer, “Relay selection strategies in cellular networks with peer-to-peer relaying,” in Proc. IEEE VTC 2003-Fall, vol. 3, Oct. 2003, pp. 1949–1953.Google Scholar

[29] M. J., Osborne, Mathematical methods for economic theory: a tutorial, 2007. [Online]. Available: www.economics.utoronto.ca/osborne/MathTutorial/index.html

[30] H. J., Greenberg and W. P., Pierskalla, “A review of quasi-convex functions,” Operations Research, vol. 19, no. 7, pp. 1553–1570, 1971.Google Scholar

[31] S., Boyd and L., Vandenberghe, Convex Optimization. Cambridge University Press, Mar. 2004.Google Scholar

[32] U., Phuyal et al., “Power loading for multicarrier cognitive radio with MIMO antennas,” in Proc. IEEE WCNC'09, Apr. 2009, pp. 1–5.Google Scholar

[33] T. S., Rappaport, Wireless Communications: Principles and Practice. 2nd ed. NJ: Prentice Hall PTR, 2002.Google Scholar

[34] R. T., Marler and J. S., Arora, “Survey of multi-objective optimization methods for engineering,” Struct. and Multidisciplinary Optim., vol. 26, no. 6, pp. 369–395, 2004.Google Scholar

Accessibility standard: Unknown

Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.