Optimized deployment of broadcast cells based on the energy efficiency in a single frequency network

doi:10.16511/j.cnki.qhdxxb.2018.26.002

Download: PDF(1216 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract The multimedia broadcast/multicast service over a single frequency network (MBSFN) can significantly improve the spectral efficiency (SE) by conserving transmitting resources, while broadcasting popular data in the MBSFN mode. As more users demand the same data in all MBSFN area, the energy efficiency will improve. This paper uses a low computational complexity deployment algorithm to optimize the broadcast cells with MBSFN transmissions in stochastic geometry networks. Simulations show that broadcasting with this algorithm has better energy efficiency than both unicasting and broadcasting with point-to-multipoint (PTM) in each cell. The efficiency gain is very important to the user equipment distribution.

Keywords multimedia broadcast/multicast service over a single frequency network broadcast cell energy efficiency multimedia push stochastic geometry

ZTFLH:

TN929.53

Issue Date: 15 February 2018

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	CHEN Huangqing
	ZHONG Xiaofeng
	WANG Jing

Cite this article:

CHEN Huangqing,ZHONG Xiaofeng,WANG Jing. Optimized deployment of broadcast cells based on the energy efficiency in a single frequency network[J]. Journal of Tsinghua University(Science and Technology), 2018, 58(2): 170-174.

URL:

http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2018.26.002 OR http://jst.tsinghuajournals.com/EN/Y2018/V58/I2/170

[1]	SUN J, ZHONG X F, ZHOU X, et al. Recommendation scheme based on converging properties for contents broadcasting[C]//Proceedings of 2015 International Conference on Computing, Networking and Communications. Anaheim, USA:IEEE, 2015:1092-1097.
[2]	SZABO G, HUBERMAN B A. Predicting the popularity of online content[J]. Communications of the ACM, 2010, 53(8):80-88.
[3]	ZHONG X F, ZHAO M, ZHOU S D, et al. Content aware soft real time media broadcast (CASoRT)[C]//Proceedings of the 3rd International Conference on Communications and Networking in China. Hangzhou, China:IEEE, 2008:355-359.
[4]	SESIA S, TOUFIK I, BAKER M. LTE-the UMTS long term evolution:From theory to practice[M]. New York:John Wiley & Sons, 2009.
[5]	DE LA FUENTE IGLESIAS A, LEAL R P, ARMADA A G. Performance analysis of eMBMS in LTE:Dynamic MBSFN areas[J]. Opnetwork, 2013:1-6.
[6]	ALEXIOU A, ASIMAKIS K, BOURAS C, et al. Combining MBSFN and PTM Transmission Schemes for Resource Efficiency in LTE Networks[M]. Berlin Heidelberg:Springer, 2011:56-67.
[7]	3GPP. Performance of MBMS transmission configurations[EB/OL].[2016-03-01]. http://www.3gpp.org/ftp/tsg_ran/WG1_R1/?Itemid=299. url: http://www.3gpp.org/ftp/tsg_ran/wg1_r1/?itemid=299.
[8]	SINGHAL C, DE S, TRESTIAN R, et al. Joint optimization of user-experience and energy-efficiency in wireless multimedia broadcast[J]. IEEE Transactions on Mobile Computing, 2014, 13(7):1522-1535.
[9]	ANDREWS J G, BACCELLI F, GANTI R K. A tractable approach to coverage and rate in cellular networks[J]. IEEE Transactions on Communications, 2011, 59(11):3122-3134.
[10]	DHILLON H S, GANTI R K, BACCELLI F, et al. Modeling and analysis of K-tier downlink heterogeneous cellular networks[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(3):550-560.
[11]	SON K, OH E, KRISHNAMACHARI B. Energy-efficient design of heterogeneous cellular networks from deployment to operation[J]. Computer Networks, 2015, 78:95-106. url: http://dx.doi.org/10.1016/j.comnet.2014.09.018
[12]	3GPP. Annex C.3 propagation models[EB/OL].[2016-03-02]. http://www.3gpp.org/ftp/tsg_ran/TSG_RAN/?Itemid=277. url: http://www.3gpp.org/ftp/tsg_ran/tsg_ran/?itemid=277.
[13]	WANG S, ZHANG X, ZHANG J X, et al. An approach for spatial-temporal traffic modeling in mobile cellular networks[C]//Proceedings of the 27th International Teletraffic Congress. Ghent, Belgium:IEEE, 2015:203-209.