SCIENTIA SINICA Informationis, Volume 47 , Issue 11 : 1566-1582(2017) https://doi.org/10.1360/N112017-00032

Energy efficient network planning and dynamic control for hyper-cellular network

More info
  • ReceivedFeb 14, 2017
  • AcceptedJun 7, 2017
  • PublishedAug 30, 2017


Funded by




[1] Niu Z S, Zhou S, Zhou S D, et al. Energy efficiency and resource optimized hyper-cellular mobile communication system architecture and its technical challenges. Sci Sin Inform, 2012, 42: 1191--1203. Google Scholar

[2] Zhou S, Zhao T, Niu Z S, et al. Software-defined hyper-cellular architecture for green and elastic wireless access. IEEE Commun Mag, 2016, 54: 12--19. Google Scholar

[3] Hanly S, Mathar R. On the optimal base-station density for CDMA cellular networks. IEEE Trans Commun, 2002, 50: 1274-1281 CrossRef Google Scholar

[4] Richter F, Fehske A J, Fettweis G P. Energy efficiency aspects of base station deployment strategies for cellular networks. In: Proceedings of IEEE Vehicular Technology Conference, Anchorage, 2009. Google Scholar

[5] Badic B, OFarrrell T, Loskot P, et al. Energy efficient radio access architectures for green radio: large versus small cell size deployment. In: Proceedings of IEEE Vehicular Technology Conference, Anchorage, 2009. Google Scholar

[6] Chen Y, Zhang S, Xu S. Characterizing energy efficiency and deployment efficiency relations for green architecture design. In: Proceedings of IEEE International Conference on Communications Workshops, Cape Town, 2010. 1--5. Google Scholar

[7] Arnold O, Richter F, Fettweis G P, et al. Power consumption modeling of different base station types in heterogeneous cellular networks. In: Proceedings of Future Network & Mobile Summit, Florence, 2010. 1--8. Google Scholar

[8] Cao F, Fan Z. The tradeoff between energy efficiency and system performance of femtocell deployment. In: Proceedings of the 7th International Symposium on Wireless Communication Systems (ISWCS), York, 2010. 315--319. Google Scholar

[9] Tutschku K, Gerlich N, Tran-Gia P. An integrated approach to cellular network planning. In: Proceedings of the 7th International Network Planning Symposium (Networks 96), Sydney, 1996. 185--190. Google Scholar

[10] Weicker N, Szabo G, Weicker K. Evolutionary multiobjective optimization for base station transmitter placement with frequency assignment. IEEE Trans Evol Computat, 2003, 7: 189-203 CrossRef Google Scholar

[11] Lin B, Mehrjoo M, Ho P H, et al. Capacity enhancement with relay station placement in wireless cooperative networks. In: Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Budapest, 2009. 1--6. Google Scholar

[12] Amaldi E, Capone A, Malucelli F. Planning umts base station location: optimization models with power control and algorithms. IEEE Trans Wireless Commun, 2003, 2: 939-952 CrossRef Google Scholar

[13] Amaldi E, Capone A, Malucelli F. Radio planning and coverage optimization of 3G cellular networks. Wireless Netw, 2008, 14: 435-447 CrossRef Google Scholar

[14] So A, Liang B. A lagrangian approach for the optimal placement of wireless relay nodes in wireless local area networks. In: Proceedings of International Conference on Research in Networking. Berlin: Springer, 2006. 160--172. Google Scholar

[15] Niu Z, Zhou S, Hua Y. Energy-Aware Network Planning for Wireless Cellular System with Inter-Cell Cooperation. IEEE Trans Wireless Commun, 2012, 11: 1412-1423 CrossRef Google Scholar

[16] Wedelin D. An algorithm for large scale 0-1 integer programming with application to airline crew scheduling. Ann Oper Res, 1995, 57: 283-301 CrossRef Google Scholar

[17] Johnson E L, Kostreva M M, Suhl U H. Solving 0-1 Integer Programming Problems Arising from Large Scale Planning Models. Operations Res, 1985, 33: 803-819 CrossRef Google Scholar

[18] Mountassir J, Balta H, Oltean M. Simulating the WiMAX Physical Layer in Rayleigh Fading Channel. JWNC, 2011, 1: 1-7 CrossRef Google Scholar

[19] Niu Z, Wu Y, Gong J, et al. Cell zooming for cost-efficient green cellular networks. IEEE Commun Mag, 2010, 48: 74--79. Google Scholar

[20] Bousia A, Kartsakli E, Alonso L, et al. Energy efficient base station maximization switch off scheme for LTE-advanced. In: Proceedings of the 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, Barcelona, 2012. 256--260. Google Scholar

[21] Oh E, Son K, Krishnamachari B. Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks. IEEE Trans Wireless Commun, 2013, 12: 2126-2136 CrossRef Google Scholar

[22] Shafiul A A, Dooley L, Poulton A. Energy efficient relay-assisted cellular network model using base station switching. In: Proceedings of IEEE Globecom Workshops, Anaheim, 2012. 1155--1160. Google Scholar

[23] Saker L, Elayoubi S E, Combes R. Optimal Control of Wake Up Mechanisms of Femtocells in Heterogeneous Networks. IEEE J Sel Areas Commun, 2012, 30: 664-672 CrossRef Google Scholar

[24] Samarakoon S, Bennis M, Saad W, et al. Opportunistic sleep mode strategies in wireless small cell networks. In: Proceedings of IEEE International Conference on Communications (ICC), Sydney, 2014. 2707--2712. Google Scholar

[25] Lee D, Zhou S, Zhong X, et al. Spatial modeling of the traffic density in cellular networks. IEEE Wirel Commun Mag, 2014, 21: 80--88. Google Scholar

[26] Zhou S, Lee D, Leng B. On the Spatial Distribution of Base Stations and Its Relation to the Traffic Density in Cellular Networks. IEEE Access, 2015, 3: 998-1010 CrossRef Google Scholar

[27] Cao D, Zhou S, Niu Z. Optimal Combination of Base Station Densities for Energy-Efficient Two-Tier Heterogeneous Cellular Networks. IEEE Trans Wireless Commun, 2013, 12: 4350-4362 CrossRef Google Scholar

[28] Cao D, Zhou S, Niu Z. Optimal base station density for energy-efficient heterogeneous cellular networks. In: Proceedings of IEEE International Conference on Communications (ICC), Ottawa, 2012. 4379--4383. Google Scholar

[29] Cao D, Zhou S, Niu Z. Improving the Energy Efficiency of Two-Tier Heterogeneous Cellular Networks through Partial Spectrum Reuse. IEEE Trans Wireless Commun, 2013, 12: 4129-4141 CrossRef Google Scholar

[30] Wu Y, Niu Z. Energy efficient base station deployment in green cellular networks with traffic variations. In: Proceedings of IEEE International Conference on Communications in China (ICCC), Beijing, 2012. 399--404. Google Scholar

[31] Zhang S, Wu Y, Zhou S, et al. Traffic-aware network and green operation with BS sleeping and cell zooming. IEICE Trans Commun, 2014, 97: 2337--2346. Google Scholar

[32] Zhang S, Zhou S, Niu Z. Traffic aware offloading for BS sleeping in heterogeneous networks. In: Proceedings of Asilomar Conference on Signals, Systems, and Computers (ASILOMAR14), Pacific Grove, 2014. 1933--1938. Google Scholar

[33] Zhang S, Gong J, Zhou S, et al. How many small cells can be turned off via vertical offloading under a separation architecture? IEEE Trans Wirel Commun, 2015, 14: 5440--5453. Google Scholar

[34] Zhang S, Wu J, Gong J, et al. Energy-optimal probabilistic base station sleeping under a separation network architecture. In: Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), Austin, 2014. 4239--4244. Google Scholar

[35] Andrews J G, Baccelli F, Ganti R K. A Tractable Approach to Coverage and Rate in Cellular Networks. IEEE Trans Commun, 2011, 59: 3122-3134 CrossRef Google Scholar

[36] Auer G, Giannini V, Desset C. How much energy is needed to run a wireless network? IEEE Wirel Commun, 2011, 18: 40--49. Google Scholar

[37] Bonald T. Wireless downlink data channels: user performance and cell dimensioning. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, San Diego, 2003. 339--352. Google Scholar

[38] Zhang S, Zhang N, Zhou S, et al. Wireless Traffic Steering for Green Cellular Networks. Berlin: Springer, 2016. Google Scholar