Optimal Base Station Density in Heterogeneous Networks Based on the Bursty Traffic

doi:10.13190/j.jbupt.2016-302

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (6): 30-36.doi: 10.13190/j.jbupt.2016-302

• Papers • Previous Articles Next Articles

Optimal Base Station Density in Heterogeneous Networks Based on the Bursty Traffic

FAN Cong-shan, ZHANG Tian-kui, ZENG Zhi-min

Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-12-28 Online:2017-12-28 Published:2017-12-28
Supported by:

Abstract

Abstract: To cope with the bursty traffic caused by popularity of multimedia services, the optimal base station density in heterogeneous networks by taking into account the burst characteristics of the traffic was analyzed using stochastic geometry approach. Based on bursty traffic, the traffic coverage probability of the heterogeneous network was defined and its relation with the base station density was specifically derived. An optimization problem with the aim of minimizing the base station density was formulated under the constraint of traffic coverage probability. Using binary search algorithm, the optimal base station density and the bounds (both upper and lower bound) for simplified analysis are obtained. Simulation confirms the accuracy of theoretical analysis and verifies the impact of the burst characteristics on the optimal base station density.

Key words: the optimal base station density, bursty traffic, traffic coverage probability, heterogeneous networks, stochastic geometry

CLC Number:

TN929.53

FAN Cong-shan, ZHANG Tian-kui, ZENG Zhi-min. Optimal Base Station Density in Heterogeneous Networks Based on the Bursty Traffic[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(6): 30-36.

References

[1] Coskun C C, Ayanoglu E. Energy-efficient base station deployment in heterogeneous networks[J]. IEEE Wireless Communications Letters, 2014, 3(6):593-596.
[2] Yunas S, Valkama M, Niemela J. Spectral and energy efficiency of ultra-dense networks under different deployment strategies[J]. IEEE Communications Magzine, 2015, 53(1):90-100.
[3] Hu Liang, Kovacs I Z, Mogensen P, et al. Optimal new site deployment algorithm for heterogeneous cellular networks[C]//VTC 2011-Fall. San Francisco:IEEE Press, 2011:1-5.
[4] Peng Jinlin, Hong Peilin, Xue Kaiping. Energy aware cellular deployment strategy under coverage performance constraints[J]. IEEE Transactions on Wireless Communications, 2015, 14(1):69-80.
[5] Feng Jianyuan, Feng Zhiyong, Wei Zhiqing, et al. Optimal base station density in ultra densification heterogeneous network[C]//WCNC 2015. New Orleans:IEEE Press, 2015:1452-1457.
[6] Lee D, Zhou Sheng, Niu Zhisheng. Spatial modeling of scalable spatially-correlated log-normal distributed traffic inhomogeneity and energy efficient network planning[C]//WCNC 2013. Shang Hai:IEEE Press, 2013:1285-1290.
[7] Wang Shaowei, Zhao Wentao, Wang Chonggang. Budgeted cell planning for cellular networks with small cells[J]. IEEE Transcations on Vehicular Technology, 2015, 64(10):4797-4806.
[8] Xiang Lin, Ge Xiaohu, Wang Chengxiang. Energy efficiency evaluation of cell networks based on spatial distribution of traffic load and power consumption[J]. IEEE Transcations on Wireless Communications, 2013, 12(3):961-973.
[9] Stoyan D, Kendall W S, Mecke J. Stochastic geometry and its applications[M]. New York:Wiley, 1996:223-227.
[10] Singh S, Dhillon H S, Andrews J G. Offloading in heterogeneous networks:modeling, analysis and design insights[J]. IEEE Transcations Wireless Communications, 2013, 12(5):2484-2497.
[11] Cao Dongxu, Zhou Sheng, Niu Zhisheng. Optimal combination of base station densities for energy-efficient two-tier heterogeneous cellular networks[J]. IEEE Transcations Wireless Communications, 2013, 12(9):4350-4362.

Optimal Base Station Density in Heterogeneous Networks Based on the Bursty Traffic

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 6

Recommended Articles

Metrics

Comments

[1]	PAN Zi-yu, YANG Jie. Energy Efficiency Optimization for Ultra Dense Heterogeneous Cellular Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(1): 20-25,58.
[2]	JIAO Ming-han, PENG Mu-gen, LIU Chen-xi. Research on Coverage and Handover Performance of Unmanned Aerial Vehicle Network [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 74-81.
[3]	WANG Ji-hong, SHI Wen-xiao, XU Yin-long, CHI Xue-fen. Admission Selection Utilizing Delayed Rejection Model for Heterogeneous Wireless Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(1): 103-106.
[4]	ZHANG Yue-ying, WANG Wen-bo, LONG Hang, LIU Fei, ZHENG Kan. A QoE-Oriented Resource Allocation Design in HetNets [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(6): 116-120.
[5]	JIANG Jun－feng,CAO Zhi－gang. A model for terminal energy consumption analysis in wireless heterogeneous networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2007, 30(4): 78-82.
[6]	LIANG Li-tao，JI Yang，ZHANG Ping. A Network Selection Algorithm Based on Fuzzy Analytic Hierarchy Process in Heterogeneous Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2007, 30(2): 71-75.