Energy-efficient 5G deployment in rural areasShow others and affiliations
2016 (English)In: 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2016, IEEE Computer Society, 2016, article id 7763258Conference paper, Published paper (Refereed)
Abstract [en]
Energy efficiency is of profound importance for prospective 5G wireless networks, especially in sparsely populated rural areas where broadband mobile services should be provided at a reasonable cost. In this paper the impact of beamforming (BF) and cell discontinuous transmission (cell DTX) technologies on the average area power consumption is studied. The required density of base stations for a 5G cellular system in a rural environment is also investigated. For this purpose, we propose a simple rural area model that captures a non-uniform distribution of users and employ the generalized Lloyd algorithm to determine the deployment of base stations. We assume a 5G system operating in mmWave band centered at 28 GHz with the bandwidth of 100 MHz, compared with existing LTE networks at 0.8 GHz with a 20 MHz bandwidth. Simulation results show that for the 5G network the density of base stations needed to provide 50 Mbps for 95% of users at the busy hour will be reduced by 8-9 times with the implementation of BF. It is also observed that BF has a greater effect on the energy saving of 5G networks in rural areas in comparison to the cell DTX.
Place, publisher, year, edition, pages
IEEE Computer Society, 2016. article id 7763258
Series
International Conference on Wireless and Mobile Computing, Networking and Communications, ISSN 2161-9646
Keywords [en]
5G mobile communication systems, Bandwidth, Base stations, Energy conservation, Mobile computing, Mobile telecommunication systems, Queueing networks, Rural areas, Wireless telecommunication systems, Area Power Consumption, Broadband mobile services, Cellular system, Discontinuous transmission, Energy efficient, Generalized lloyd algorithm, Non-uniform distribution, Rural environment, Energy efficiency
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-207485DOI: 10.1109/WiMOB.2016.7763258Scopus ID: 2-s2.0-85014194867ISBN: 9781509007240 (print)OAI: oai:DiVA.org:kth-207485DiVA, id: diva2:1108040
Conference
12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2016, New York, United States, 17 October 2016 through 19 October 2016
Note
QC 20170612
2017-06-122017-06-122024-03-18Bibliographically approved