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Energy-efficient inter-RAN cooperation for non-collocated cell sites with base station selection and user association policies

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Abstract

Conventional planning and optimization of cellular mobile networks for supporting the peak-time user demand leads to substantial wastage of electrical energy. Infrastructure sharing among geographically collocated networks is considered promising for energy efficient operation of future cellular systems. Therefore, this paper proposes a generalized energy-efficient cooperation framework for sharing BSs between two cellular radio-access networks (RANs) serving the same geographical area. Previous works have the constraint of cooperation only among the collocated BSs belonging to different RANs, while the proposed framework is free from such limitation. To the best of our knowledge, this paper is the first for developing cooperation mechanisms among the non-collated BSs. Independent Poisson point process is used for modeling the near realistic random locations of both BSs and user equipment (UEs). Under the proposed framework, BSs belonging to different RANs dynamically share each others traffic and thus allow some BSs to switch into low power sleep mode for saving energy. During this BS switching through traffic-sharing, connection continuity (no drop of the existing calls) is maintained throughout the network. A generalized optimization problem for maximizing energy savings is formulated. Due to the high complexity of the optimization problem, heuristically guided algorithms differing in BS selection and UE association policies are proposed. More specifically, two different BSs selection schemes and three separate UE association policies are integrated in the algorithms. Performance of the proposed inter-RAN cooperation framework is evaluated using extensive simulations demonstrating a substantial energy savings and gain in energy efficiency. Impact of different network parameters, such as BS selection and UE association policies, BS and UE densities, BS power profile and SINR requirements for connection continuity on the system performance is thoroughly investigated and analyzed.

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References

  1. Mahapatra, R., Nijsure, Y., Kaddoum, G., Ul Hassan, N., & Yuen, C. (2016). Energy efficiency tradeoff mechanism towards wireless green communication: a survey. IEEE Communications Surveys and Tutorials, 18(1), 686–705.

    Article  Google Scholar 

  2. Fehske, A., Fettweis, G., Malmodin, J., & Biczok, G. (2011). The global footprint of mobile communications: the ecological and economic perspective. IEEE Communications Magazine, 49(8), 55–62.

    Article  Google Scholar 

  3. Hasan, Z., Boostanimehr, H., & Bhargava, V. K. (2011). Green cellular networks: a survey, some research issues and challenges. IEEE Communications Surveys and Tutorials, 13(4), 524–540.

    Article  Google Scholar 

  4. Bolla, R., Bruschi, R., Davoli, F., & Cucchietti, F. (2011). Energy efficiency in the future internet: a survey of existing approaches and trends in energy-aware fixed network infrastructure. IEEE Communications Surveys and Tutorials, 13(2), 223–244.

    Article  Google Scholar 

  5. Ismail, M., Zhuang, W., Serpedin, E., & Qaraqe, K. (2015). A survey on green mobile networking: from the perspectives of network operators and mobile users. IEEE Communications Surveys and Tutorials, 17(3), 1535–1556.

    Article  Google Scholar 

  6. Antonopoulos, A., Kartsakli, E., Bousia, A., Alonso, L., & Verikoukis, C. (2015). Energy-efficient infrastructure sharing in multi-operator mobile networks. IEEE Communications Magazine, 53(5), 242–249.

    Article  Google Scholar 

  7. Peng, C., Lee, S., Lu, S., Luo, H., & Li, H. (2011). Traffic-driven power saving in operational 3G cellular networks. In Proceedings of international conference on mobile computing and networking (MobiCom), Nevada, USA (pp. 121–132).

  8. Guo, A., & Haenggi, M. (2013). Spatial stochastic models and metrics for the structure of base stations in cellular networks. IEEE Transactions on Wireless Communications, 12(11), 5800–5812.

    Article  Google Scholar 

  9. Tukmanov, A., Ding, Z., Boussakta, S., & Jamalipour, A. (2013). On the impact of network geometric models on multicell cooperative communication systems. IEEE Wireless Communications, 20(1), 75–81.

    Article  Google Scholar 

  10. Paul, U., Subramanian, A. P., Buddhikot, M. M., & Das, S. R. (2011). Understanding traffic dynamics in cellular data networks. In Proceedings of IEEE international conference on computer communications (INFOCOM), China (pp. 882–890).

  11. Auer, G., Giannini, V., Desset, C., Godor, I., Skillermark, P., Olsson, M., et al. (2011). How much energy is needed to run a wireless network? IEEE Wireless Communications, 18(5), 40–49.

    Article  Google Scholar 

  12. Shafiq, M.Z., Ji, L., Liu, A.X., & Wang, J. (2011). Characterizing and modeling internet traffic dynamics of cellular devices. In Proceedings of ACM SIGMETRICS (pp. 305–316).

  13. Zheng, J., Cai, Y., Chen, X., Li, R., & Zhang, H. (2015). Optimal base station sleeping in green cellular networks: a distributed cooperative framework based on game theory. IEEE Transactions on Wireless Communications, 14(8), 4391–4406.

    Article  Google Scholar 

  14. Hossain, M. F., Munasinghe, K. S., & Jamalipour, A. (2013). Distributed inter-BS cooperation aided energy efficient load balancing for cellular networks. IEEE Transactions on Wireless Communications, 12(11), 5929–5939.

    Article  Google Scholar 

  15. Marsan, M. A., Chiaraviglio, L., Ciullo, D., & Meo, M. (2009). Optimal energy savings in cellular access networks. In Proceedings of workshop on green communication in conjunction with IEEE ICC. Dresden, Germany (pp. 1–5).

  16. Oh, E., & Krishnamachari, B. (2010). Energy savings through dynamic base station switching in cellular wireless access networks. In Proceedings of IEEE global communications conference (GLOBECOM) (pp. 1–5).

  17. Li, R., Zhao, Z., Chen, X., & Zhang, H. (2012). Energy saving through a learning framework in greener cellular radio access networks. In Proceedings of IEEE global communications conference (GLOBECOM), Anaheim, USA (pp. 1574–1579).

  18. Kyuho, S., Hongseok, K., Yung, Y., & Krishnamachari, B. (2011). Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks. IEEE Journal on Selected Areas in Communications, 29(8), 1525–1536.

    Article  Google Scholar 

  19. Ismail, M., et al. (2011). Network cooperation for energy saving in green radio communications. IEEE Wireless Communications, 18(5), 76–81.

    Article  Google Scholar 

  20. Applied Value Group. (2014). Infrastructure sharing among MNOs. Applied Value Telecom Series.

  21. Oh, E., Krishnamachari, B., Liu, X., & Niu, Z. (2011). Toward dynamic energy-efficient operation of cellular network infrastructure. IEEE Communications Magazine, 49(6), 56–61.

    Article  Google Scholar 

  22. Hossain, M.F., Munasinghe, K.S., & Jamalipour, A. (2012). Two level cooperation for energy efficiency in multi-RAN cellular network environment. In IEEE wireless communications and networking conference (WCNC) Paris, France (pp. 2493–2497).

  23. Marsan, M. A., & Meo, M. (2009). Energy efficient management of two cellular access networks. In GreenMetrics workshop in conjunction with ACM SIGMETRICS, Washington, USA (pp. 1–5).

  24. Bousia, A., Kartsakli, E., Antonopoulos, A., Alonso, L., & Verikoukis, C. (2013). Game theoretic approach for switching off base stations in multi-operator environments. In IEEE International conference on communications (ICC) Budapest, Hungary (pp. 4420–4424).

  25. Bousia, A., Kartsakli, E., Antonopoulos, A., Alonso, L., & Verikoukis, C. (2016). Game-theoretic infrastructure sharing in multi-operator cellular networks. IEEE Transactions on Vehicular Technology, 65(5), 3326–3341.

    Article  Google Scholar 

  26. Leng, B., Mansourifard, P., & Krishnamachari, B. (2014). Microeconomic analysis of base-station sharing in green cellular networks. In IEEE Conference on computer communications (INFOCOM). Toronto, ON, Canada (pp. 1132–1140).

  27. Bao, Y., Wu, J., Zhou, S., & Niu, Z. (2015). Bayesian mechanism based inter-operator base station sharing for energy saving. In IEEE International conference on communications (ICC), London, UK, (pp. 49–54).

  28. Oikonomakou, M., Antonopoulos, A., Alonso, L., & Verikoukis, C. (2015). Cooperative base station switching off in multi-operator shared heterogeneous network. In IEEE Global communications conference (GLOBECOM), San Diego, CA, USA (pp. 1-6).

  29. Edler, T., & Lundberg, S. (2004). Energy efficiency enhancements in radio access networks. Ericsson Review, 81(1), 42–51.

    Google Scholar 

  30. Huawei Technologies. (2009). Improving energy efficiency, lower CO 2 emission and TCO. Huawei energy efficiency solution, White Paper, pp. 1–16.

  31. 3GPP TR 36.902 ver. 9.3.1 Rel. 9. (2011). Evolved universal terrestrial radio access network (E-UTRAN); Self-configuring and self-optimizing network (SON): Use cases and solutions. Technical Report.

  32. Son, K., Oh, E., & Krishnamachari, B. (2011). Energy-aware hierarchical cell configuration: from deployment to operation. In Proceedings of IEEE INFOCOM workshop on computer communications, China (pp. 289–294).

  33. Tabassum, H., Siddique, U., Hossain, E., & Hossain, M. J. (2014). Downlink performance of cellular systems with base station sleeping, user association, and scheduling. IEEE Transactions on Wireless Communications, 13(10), 5752–5767.

    Article  Google Scholar 

  34. Stoyan, D., Kendall, W. S., & Mecke, J. (1995). Stochastic geometry and its applications (2nd ed.). Chichester: Wiley.

    MATH  Google Scholar 

  35. Wireless World Initiative New Radio WINNER+. (2010). D5.3: WINNER+ final channel models. Jun 2010.

  36. Richter, F., Fehske, A. J., & Fettweis, G. P. (2009). Energy efficiency aspects of base station deployment strategies for cellular networks. In Proceedings of IEEE vehicular technology conference (VTC) USA (pp. 1–5).

  37. Oh, E., Son, K., & Krishnamachari, B. (2013). Dynamic base station switching-On/Off strategies for green cellular networks. IEEE Transactions on Wireless Communications, 12(5), 2126–2136.

    Article  Google Scholar 

  38. Niu, Z., Wu, Y., Gong, J., & Yang, Z. (2010). Cell zooming for cost-efficient green cellular networks. IEEE Communications Magazine, 48(11), 74–79.

    Article  Google Scholar 

  39. Zhou, S., Gong, J., Yang, Z., Niu, Z., & Yang, P. (2009). Green mobile access network with dynamic base station energy saving. In Proceedings of ACM international conference on mobile computing and networking (MobiCom), Beijing, China (pp. 1–3).

  40. Arnold, O., et al. (2010). Power consumption modeling of different base station types in heterogeneous cellular networks. In Proceedings of future network and mobile summit, Florence, Italy.

  41. Correria, L. M., et al. (2010). Challenges and enabling technologies for energy aware mobile radio networks. IEEE Communications Magazine, 48(11), 66–72.

    Article  Google Scholar 

  42. Alam, A. S., Dooley, L. S., & Poulton, A. S. (2012). Energy efficient relay-assisted cellular network model using base station switching. In Proceedings IEEE global communications conference (GLOBECOM), Anaheim, USA, (pp. 1–6).

  43. Micallef, G., Mogensen, P., & Scheck, H. O. (2010). Cell size breathing and possibilities to introduce cell sleep mode. In Proceedings of IEEE european wireless conference (EW), Lucca, Italy, (pp. 111–115).

  44. Han, F., Safar, Z., Lin, W. S., Chen, Y., & Liu, K. J. R. (2012). Energy-efficient cellular network operation via base station cooperation. In Proceedings of international conference on communication (ICC), Ottawa, Canada, (pp. 5885–5889).

  45. Deruyck, M., Joseph, W., & Martens, L. (2014). Power consumption model for macrocell and microcell base stations. Transactions on Emerging Telecommunications Technologies, 25(3), 320–333. doi:10.1002/ett.2565.

    Article  Google Scholar 

  46. Xiang, L., Ge, X., Wang, C., Li, F., & Reichert, F. (2013). Energy efficiency evaluation of cellular networks based on spatial distributions of traffic load and power consumption. IEEE Transactions on Wireless Communications, 12(3), 961–973.

    Article  Google Scholar 

  47. Wang, H., Ding, L., Wu, P., Pan, Z., Liu, N., & You, X. (2010). Dynamic load balancing and throughput optimization in 3GPP LTE networks. In Proceedings of ACM international wireless communications and mobile computing conference (IWCMC), Caen, France (pp. 939–943).

  48. 3GPP TR 36.942 Ver. 11.0.0 Rel. 11. (2012). Technical specification group radio access network; Evolved universal terrestrial radio access (E-UTRA); Radio frequency (RF) system scenarios. Technical Report.

  49. Lobinger, A., Stefanski, S., Jansen, T., & Balan, I. (2010). Load balancing in downlink LTE self-optimizing networks. In Proceedings of IEEE vehicular technology conference (VTC), Munchen, Germany (pp. 1–5).

  50. 3GPP Technical Specification. (2013). Technical specification group services and system aspects; Network sharing; Architecture and functional description. 3GPP TS 23.251, V14.0.0, Rel. 14.

  51. Krishnamoorthy, A. V., et al. (2011). Progress in low-power switched optical interconnects. IEEE Journal of Selected Topics in Quantum Electronics, 17(2), 357–376.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Md. Farhad Hossain

  2. Faculty of Education, Science, Technology and Maths, University of Canberra, Bruce, ACT, Australia

    Kumudu S. Munasinghe

  3. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, 2006, Australia

    Abbas Jamalipour

Authors
  1. Md. Farhad Hossain
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  2. Kumudu S. Munasinghe
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  3. Abbas Jamalipour
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Correspondence to Md. Farhad Hossain.

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Hossain, M.F., Munasinghe, K.S. & Jamalipour, A. Energy-efficient inter-RAN cooperation for non-collocated cell sites with base station selection and user association policies. Wireless Netw 25, 269–285 (2019). https://doi.org/10.1007/s11276-017-1556-4

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