Energy Efficient Sleep Strategy for Decoupled Uplink/Downlink Access in HetNets

Zhang, L., Feng, G., Qin, S., Jiang, W. and Sun, Y. (2017) Energy Efficient Sleep Strategy for Decoupled Uplink/Downlink Access in HetNets. In: 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW '17), San Francisco, CA, USA, 19-22 Mar 2017, ISBN 9781509041831 (doi: 10.1109/WCNC.2017.7925703)

Abstract

In dense and heterogeneous networks, the decoupled uplink/downlink (UL/DL) access (DUDA) design has drawn great attentions for improving system performance. Energy efficiency (EE) becomes a major concern for densely deployed heterogeneous cellular networks (HetNets). In this paper, we theoretically analyze the energy efficient sleep strategy for DUDA HetNets. Through using stochastic geometry theory, we first examine the applicability of conventional sleep strategy to DUDA networks and design a new DUDA sleep strategy. We then formulate the energy consumption minimization problem and EE optimization problem, and derive the optimal BS sleep probability. Numerical results reveal that conventional sleep strategy may provide inaccurate guidance for sleep design in DUDA networks, which may lead to excessive sleeps and decrease system EE. Meanwhile our DUDA sleep strategy can effectively reduce network energy consumption. We also find that the dense deployment of small cells may generally increase network EE, but this improvement saturates as the BS density further increases.

• Item Type: Conference Proceedings
• Additional Information: This research has been supported by NSFC(61471089), NSFC (61631004), Doctoral Fund of Ministry of Education of China (20130185120006), and Research Funds of Sci. & Tech. on Info. Trans. & Disse. Commu. Net. Lab, NO. KX152600017/ITD-U15008.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sun, Dr Yao and Feng, Professor Gang
• Authors: Zhang, L., Feng, G., Qin, S., Jiang, W., and Sun, Y.
• College/School: College of Science and Engineering > School of Engineering
• ISSN: 1558-2612
• ISBN: 9781509041831
• Copyright Holders: Copyright © 2017 IEEE
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher