Energy efficiency analysis of broadcast and communication converged network

被引:0
作者
机构
[1] College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications
[2] Shanghai Advanced Research Institute, Chinese Academic of Sciences
[3] National Mobile Communications Research Laboratory, Southeast University
来源
Rui, Y. (ruiy@sari.ac.cn) | 1600年 / Editorial Board of Journal on Communications卷 / 35期
关键词
Converged network; Energy efficiency; Poisson point process; Popular business;
D O I
10.3969/j.issn.1000-436x.2014.05.021
中图分类号
学科分类号
摘要
A novel system model and energy efficiency analysis method were studied to solve the problem of the performance analysis of broadcast and communication converged network. From the perspective of the user request, the business could be classified as the popular part and the non-popular part. Based on the random spatial network model, cellular base stations and users were modeled as two independent spatial Poisson point processes (PPP), while the broadcast tower was assumed to locate in the center of service regions. By further exploiting the coverage of broadcast network and the outage probability of cellular network, the closed-form expression of the converged network energy efficiency (EE) was derived, and the impact of popular business probability to the energy efficiency was discussed. Simulation results show that assuming the mentioned converged system model and the general density of BS and user, the energy efficiency of converged network would be significantly improved compared to pure cellular network when the probability of popular businesses is more than . The novel model and energy efficiency analysis method provide the foundation for the study of the overall performance of the converged network.
引用
收藏
页码:160 / 166
页数:6
相关论文
共 22 条
  • [1] Feng S.L., Xie W., Next-generation broadcast network wireless systems, ZTE Technology Journal, 17, 4, pp. 14-18, (2011)
  • [2] Li H.X., Liu B., Liu H., Transmission schemes for multicarrier broadcast and unicast hybrid systems, IEEE Transactions on Wireless Communications, 7, 11, pp. 4321-4330, (2008)
  • [3] Yun C., Liu G.Y., Yang Z., Et al., Capacity analysis of OFDM based broadcast and unicast hybrid system, Journal of Tianjin University, 43, 3, pp. 199-202, (2010)
  • [4] Huang F., Liu Z., Rui Y., Et al., Coverage performance and comparision between broadcasting and cellular system, IEEE Wireless Communications and Networking Conference, pp. 35-38, (2013)
  • [5] Cornillet N., Crussiere M., Helard J.F., On the hybrid use of unicast/broadcast networks under energy criterion, Proceedings of IEEE 23rd International Symposium on Personal, pp. 1256-1261, (2012)
  • [6] Cornillet N., Crussiere M., Helard J.F., Optimization of the energy efficiency of a hybrid broadcast/unicast network, IEEE Wireless Communications and Networking Conference, pp. 39-44, (2013)
  • [7] Wyner A.D., Shannon-theoretic approach to a Gaussian cellular multiple-access channel, IEEE Trans Inf Theory, 40, 11, pp. 1713-1727, (1994)
  • [8] Shanmai S., Wyner A.D., Information-theoretic considerations for symmetric, cellular, multiple-access fading channels-parts I & II, IEEE Trans Inf Theory, 43, 11, pp. 1877-1911, (1997)
  • [9] Somekh O., Shanmai S., Shannon-theoretic approach to a Gaussian cellular multi-access channel with fading, IEEE Trans Inf Theory, 46, pp. 1401-1425, (2000)
  • [10] Andrews J.G., Baccelli F., Ganti K.R., A tractable approach to coverage and rate in cellular networks, IEEE Trans Commun, 59, 11, pp. 3122-2134, (2011)