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Energy Oriented Resource Allocation in Heterogeneous 5G Networks

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Book cover Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

The development of 5G wireless communication systems are changing the daily life. Both transmission speed and Quality of Service (QoS) are developing fast. However, the increasing demand of data traffic brought about the number of base stations, which lead to the additional consumption of system power. Therefore, some of the power consumption is unnecessary by achieving same system performance. In this work, we discuss the resource allocation method in different policies to reduce energy consumption without losing the performance. Both theoretic and system level results are given in this work.

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Acknowledgement

This work is funded by China’s 973 project under grant of 2012CB316002 and China’s 863 project under grant of 2013AA013603, National Natural Science Foundation of China (61201192), International Science and Technology Cooperation Program (2012DFG12010); National S & T Major Project (2013ZX03001024-004), Operation Agreement between Tsinghua University and Ericsson, Qualcomm Innovation Fellowship. The work of Su Hu was jointly supported by the MOST Program of International S&T Cooperation (Grant No. 2016YFE0123200), National Natural Science Foundation of China (Grant No. 61471100/61101090/61571082), Science and Technology on Electronic Information Control Laboratory (Grant No. 6142105040103) and Fundamental Research Funds for the Central Universities (Grant No. ZYGX2015J012/ZYGX2014Z005). We would like to thank all the reviewers for their kind suggestions to this work.

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Correspondence to Yuan Gao .

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Gao, Y. et al. (2019). Energy Oriented Resource Allocation in Heterogeneous 5G Networks. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_25

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_25

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  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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