动态超密集网络中的Markov预测切换

doi:10.11959/j.issn.1000-436x.2018225

Abstract

Abstract:

In order to solve the problem of the communication and computational problems of large-scale machine communication in an ultra-dense cellular network,a Markov prediction based handover scheme (MPHS) was proposed.Firstly,a kind of heterogeneous network design with semi-structure and central control was considered which contains the densely deployed virtual nodes and thus realized a low cost and efficient coverage.The network can dynamically adjust the access point according to the user's mobility and network traffic.Secondly,a Markov model was constructed,and the idea of load-aware was introduced.By weighing the signal quality and the cell load,the user's next optimal access point was effectively predicted.The simulation results show the feasibility and effectiveness of the proposed scheme for cell handover predicting.

Key words: ultra-dense cellular network, large-scale machine communication, Markov model, load-aware, handover

CLC Number:

TP393

Qingmin MENG,Yuanyuan ZHAO,Wenjing YUE,Yulong ZOU,Xiaoming WANG. Markov prediction based handover in dynamic ultra dense network[J]. Journal on Communications, 2018, 39(10): 166-174.

Figures/Tables 11

参数	说明	值
R	宏小区半径	600 m
D	宏基站到虚拟基站的距离	$\frac{600}{\sqrt{3}}$
$P_{M}^{t x}$	宏基站的信号发射功率	46 dBm
$P_{V}^{t x}$	虚拟基站的信号发射功率	24 dBm
μ_M	宏基站路径损耗系数	4.5
μ_N	虚拟基站路径损耗系数	2.5
DSF	阴影方差	4 dB
f_c	系统载频	3.65 GHz
N₀	噪声功率谱密度	-174 dBm/Hz
B_a	含12个子载波的子信道的有效带宽	72 kHz
Nch	子信道总数	32
ω	簇用户的移动方向	$\frac{π}{6}$

References 25

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基站	V₁	V₂	V₃	V₄	V₅	V₆	V₇	V₈	V₉	V₁₀	V₁₁	V₁₂	M
ρ_n	1.0	0.3	1.0	0.3	1.0	0.3	1.0	0.3	1.0	0.3	1.0	0.3	1.0

基站	V₁	V₂	V₃	V₄	V₅	V₆	V₇	V₈	V₉	V₁₀	V₁₁	V₁₂	M
ρ_n	0.7	1.0	0.5	0.3	1.0	0.5	0.7	0.3	0.7	1.0	0.5	0.7	1.0

负载配置	用户所选择基站序列
不考虑负载，即ρ_n=1	V₈→V₉→V₈→V₉→V₁₀→V₁₁→V₁₂→V₁
ρ_n如表2所示	V₉→V₁₁→V₁
ρ_n如表3所示	V₁₀→V₂

Markov prediction based handover in dynamic ultra dense network

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