Traffic Adaptation and Energy Efficiency for Small Cell Networks with Dynamic TDD

14099 12 74822 2 206024 document 74822 Traffic Adaptation and Energy Efficiency for Small Cell Networks.pdf application/pdf 2c61b26ee7011981ec98db9b50a681a6 MD5 5473189 2016-12-07 10:32:27 https://pure.iiasa.ac.at/id/eprint/14099/1/Traffic%20Adaptation%20and%20Energy%20Efficiency%20for%20Small%20Cell%20Networks.pdf 14099 1 1 application/pdf text en public cc_by_nc_nd

Traffic Adaptation and Energy Efficiency for Small Cell Networks.pdf

accepted 74829 2 206102 document 74829 lightbox.jpg image/png be4ed484fc6673aafc482d6b4b854b23 MD5 70719 2016-12-07 17:14:42 https://pure.iiasa.ac.at/id/eprint/14099/2/lightbox.jpg 14099 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/74822 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/74822 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/74822 archive 353 disk0/00/01/40/99 2016-12-07 10:35:49 2021-08-27 17:28:14 2016-12-07 10:35:49 article show Sun H. Sheng M. Wildemeersch M. 2075 0000-0002-6660-2712 Quek T. Li J. Traffic Adaptation and Energy Efficiency for Small Cell Networks with Dynamic TDD pub prog_asa prog_esm Traffic adaptation, dynamic time-division duplex, small cell networks, energy harvesting, energy efficiency, multi-antenna systems, service time, Poisson point process (c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. The traffic in current wireless networks exhibits large variations in uplink (UL) and downlink (DL), which brings huge challenges to network operators in efficiently allocating radio resources. Dynamic time-division duplex (TDD) is considered as a promising scheme that is able to adjust the resource allocation to the instantaneous UL and DL traffic conditions, also known as traffic adaptation. In this work, we study how traffic adaptation and energy harvesting can improve the energy efficiency (EE) in multi-antenna small cell networks operating dynamic TDD. Given the queue length distribution of small cell access points (SAPs) and mobile users (MUs), we derive the optimal UL/DL configuration to minimize the service time of a typical small cell, and show that the UL/DL configuration that minimizes the service time also results in an optimal network EE, but does not necessarily achieve the optimal EE for SAP or MU individually. To further enhance the network EE, we provide SAPs with energy harvesting capabilities, and model the status of harvested energy at each SAP using a Markov chain. We derive the availability of the rechargeable battery under several battery utilization strategies, and observe that energy harvesting can significantly improve the network EE in the low traffic load regime. In summary, the proposed analytical framework allows us to elucidate the relationship between traffic adaptation and network EE in future dense networks with dynamic TDD. With this work, we quantify the potential benefits of traffic adaptation and energy harvesting in terms of service time and EE. 2016-12 published IEEE doi:10.1109/JSAC.2016.2600442 331 public IEEE Journal on Selected Areas in Communications 34 12 3234-3251 TRUE 0733-8716 FALSE no info:eu-repo/semantics/article