一种蜂窝移动用户小区切换的宏分集方案

doi:10.19665/j.issn1001-2400.2019.02.019

摘要/Abstract

摘要：

针对毫米波蜂窝网络中用户移动产生切换造成的通信链路不稳定问题,提出一种双基站宏分集方案,并基于该方案分析了移动用户的切换概率。首先,假设基站分布为泊松点过程,目标用户采用最近基站接入准则,建立双基站宏分集下蜂窝用户的移动模型;然后,由随机几何理论推导出移动用户的切换概率理论表达式;最后,通过MATLAB仿真软件求解切换概率的分析解,并使用蒙特卡罗仿真验证分析结果的可靠性。仿真结果表明,随着用户移动速度和基站密度增加,发生一次切换的概率明显增大,但是发生两次切换的概率几乎不变。因此,该方案可以较好地保证移动用户通信链路的稳定。

关键词: 毫米波, 蜂窝网络, 宏分集, 随机几何, 切换概率

Abstract:

Aiming at the instability of the communication link caused by mobile handoff in millimeter wave cellular networks, a dual base station macro diversity scheme is proposed, and the handoff probability of the mobile user is analyzed based on the scheme. First, the mobile model of cellular users under the dual base station macro diversity scheme is established based on the hypothesis that the distribution of base stations is the Poisson point process and that the typical user adopts the nearest base station access criteria. Second, the theoretical expression for handoff probability for mobile users is derived by stochastic geometry theory. Finally, the theoretical solution of handoff probability is solved by the MATLAB simulation software, and the reliability of the analytical results is verified by the Monte Carlo simulation. Simulation results show that with the increase of the mobile speed and base station density, the probability of one handoff increases obviously, but the probability of two handoffs is almost unchanged. Therefore, the proposed scheme can better guarantee the stability of the mobile user’s communication link.

Key words: millimeter wave, cellular networks, macro diversity, stochastic geometry, handoff probability

中图分类号:

TN929.5

李中捷,陈燚雷,曹世明,朱翠涛. 一种蜂窝移动用户小区切换的宏分集方案[J]. 西安电子科技大学学报, 2019, 46(2): 114-118.

LI Zhongjie,CHEN Yilei,CAO Shiming,ZHU Cuitao. Macro diversity scheme for cellular mobile user handoff[J]. Journal of Xidian University, 2019, 46(2): 114-118.

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参考文献 15

[1]	HSUEH S Y, LIU K H . An Equivalent Analysis for Handoff Probability in Heterogeneous Cellular Networks[J]. IEEE Communications Letters, 2017,21(6):1405-1408. doi: 10.1109/LCOMM.2017.2676107
[2]	唐俊林, 曾媛, 岳光荣 , 等. 毫米波相阵多径信道中的迭代波束成形方法[J]. 西安电子科技大学学报, 2018,45(4):143-148. doi: 10.3969/j.issn.1001-2400.2018.04.025
	TANG Junlin, ZENG Yuan, YUE Guangrong , et al. Iterative Beamforming Method in the Multi-path Channel for the Millimeter-wave Phased Array[J]. Journal of Xidian University, 2018,45(4):143-148. doi: 10.3969/j.issn.1001-2400.2018.04.025
[3]	YANG G, XIAO M, ALAM M , et al. Low-latency Heterogeneous Networks with Millimeter-wave Communications[J]. IEEE Communications Magazine, 2018,56(6):124-129. doi: 10.1109/MCOM.2018.1700874
[4]	OSSEIRAN A, BOCCARDI F, BARAUN V , et al. Scenarios for 5G Mobile and Wireless Communications: The Vision of the METIS Project[J]. IEEE Communications Magazine, 2014,52(5):26-35. doi: 10.1109/MCOM.2014.6815890
[5]	RANGAN S, RAPPAPORT T S, ERKIP E . Millimeter-wave Cellular Wireless Networks: Potentials and Challenges[J]. Proceedings of the IEEE, 2014,102(3):366-385. doi: 10.1109/JPROC.2014.2299397
[6]	RAPPAPORT T S, SUN S, MAYZUS R , et al. Millimeter Wave Mobile Communications for 5G Cellular: It Will Work![J]. IEEE Access, 2013,1:335-349. doi: 10.1109/ACCESS.2013.2260813
[7]	GUPTA A K, ANDREWS J G, HEATH R W . Impact of Correlation between Link Blockages on Macro-diversity Gains in mmWave Networks[C]// Proceedings of the 2018 IEEE International Conference on Communications Workshops. Piscataway: IEEE, 2018: 1-6.
[8]	JING S, TSE D N C, SORIAGA J B , et al. Downlink Macro-diversity in Cellular Networks[C]// Proceedings of the 2007 IEEE International Symposium on Information Theory. Piscataway: IEEE, 2007: 1-5.
[9]	FALCONETTI L, HOYMANN C, GUPTA R . Distributed Uplink Macro Diversity for Cooperating Base Stations[C]// Proceedings of the 2009 IEEE International Conference on Communications Workshops. Washington: IEEE Computer Society, 2009: 5208026.
[10]	CHIO J . On the Macro Diversity with Multiple BSs to Mitigate Blockage in Millimeter-wave Communications[J]. IEEE Communications Letters, 2014,18(9):1653-1656. doi: 10.1109/LCOMM.2014.2337293
[11]	BAO W, LIANG B . Stochastic Geometric Analysis of User Mobility in Heterogeneous Wireless Networks[J]. IEEE Selected Areas in Communications, 2015,33(10):2212-2225. doi: 10.1109/JSAC.2015.2435451
[12]	SADR S, ADVE R S . Handoff Rate and Coverage Analysis in Multi-tier Heterogeneous Networks[J]. IEEE Transactions on Wireless Communications, 2015,14(5):2626-2638. doi: 10.1109/TWC.2015.2390224
[13]	TOKUYAMA K, MIYOSHI N . Data Rate and Handoff Rate Analysis for User Mobility in Cellular Networks[C]// Proceedings of the 2018 IEEE Wireless Communications and Networking Conference. Piscataway: IEEE, 2018: 1-6.
[14]	GHOSH S K, GHOSH S C . A Predictive Handoff Mechanism for 5G Ultra Dense Networks[C]// Proceedings of the 2017 IEEE 16th International Symposium on Network Computing and Applications. Piscataway: IEEE, 2017: 1-5.
[15]	SUN Y, FENG G, QIN S , et al. The SMART Handoff Policy for Millimeter Wave Heterogeneous Cellular Networks[J]. IEEE Transactions on Mobile Computing, 2018,17(6):1456-1468. doi: 10.1109/TMC.2017.2762668