窄带物联网非连续接收机制功耗模型与优化

doi:10.11959/j.issn.1000-436x.2019094

Abstract

Abstract:

To extend the battery life of massive machine type devices (MTD),narrow-band Internet of things (NB-IoT) system extended discontinuous reception (eDRX) mechanism of LTE to the maximum as well as introduced a lower power state named as power saving mode (PSM).Three Markov models were established for three typical NB-IoT traffic scenarios,which called mobile autonomous reporting periodic report (MAR-P),mobile autonomous reporting exception report (MAR-E),software update/reconfiguration (SUR).The states of each Markov model were the working status of MTDs,including connected,idle and PSM state,in which the connected state was divided into random access state and data translating/receiving state to further evaluate the additional power consumption caused by collisions from massive MTDs concurrent access.Thereby,the power consumption and delay models with respect to each traffic scenarios were derived.Since the frequency of MAR-P traffic was far greater than the other two,the battery life of this traffic case with its optimal design choice was comprehensively analyzed.Numerical results show that,the battery life is mostly influenced by transmission period,maximum number of random access attempts,maximum number of data transmissions and traffic load,which can be maximized by appropriate parameters setting up.These works provide good references for NB-IoT device behavior modeling and optimization design.

Key words: narrow-band Internet of things, extended discontinuous reception, Markov chain

CLC Number:

TN929.5

Xin JIAN,Yixiao WEI,Yuqin LIU,Jian SONG,Xiaoping ZENG,Xiaoheng TAN. Power consumption modeling and optimization for NB-IoT eDRX[J]. Journal on Communications, 2019, 40(4): 107-116.

Figures/Tables 11

参数	取值
E/Wh	5
W₁/mW	0.02
W₄/mW	100
E_RACH、E_TR/J	0.05
$\frac{1}{λ_{r}} 、 \frac{1}{λ_{t}} / m s$	5
T_r、T_ARQ/ms	8
T_i/ms	64

序号	参数取值					优化结果
序号	$\frac{m}{n}$	p_t	T_p/h	P_RACH,set	P_TR,set	$R_{m a x}^{*}$	$N_{m a x}^{*}$	L*/年	D*/s	$P_{s u c}^{*}$
1	0.5	0.1	0.1	0.95	0.95	4	2	8.02	12.57	96.63%
2	0.5	0.1	0.1	0.6	0.6	1	1	13.02	113.39	76.07%
3	0.5	0.1	0.5	0.95	0.95	4	2	18.88	62.84	96.63%
4	0.5	0.1	1	0.95	0.95	4	2	22.73	125.67	96.63%
5	1	0.5	0.1	0.95	0.95	7	5	1.99	27.25	92.97%
6	1	0.5	0.1	0.5	0.5	1	1	8.58	1 597.18	18.39%
7	1	0.5	0.5	0.95	0.95	7	5	7.78	136.17	92.97%
8	1	0.5	0.5	0.75	0.75	4	2	10.44	1 056.01	63.03%
9	1	0.5	1	0.95	0.95	7	5	12.24	272.31	92.97%
10	2	0.8	0.1	0.95	0.95	21	14	0.22	35.37	91.09%
11	2	0.8	0.1	0.13	0.2	1	1	6.88	12 944.00	2.707%
12	2	0.8	0.5	0.95	0.95	21	14	1.07	176.21	91.09%
13	2	0.8	0.5	0.25	0.35	2	2	10.35	180 11.00	9.085%
14	2	0.8	1	0.95	0.95	21	14	2.07	352.26	91.09%
15	2	0.8	1	0.35	0.35	3	2	11.60	6.86	12.73%

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业务类别	传输数据类型	数据规模/B	发生时间间隔
周期自动报告	定期上传信息	20～200	1 d（40%）、2 h（40%）、1 h（15%）、30 min（5%）
异常自动报告	异常突发信息	20～200	几个月甚至几年
软件升级/重配置	软件升级补丁	200～2 000	约180 d

Power consumption modeling and optimization for NB-IoT eDRX

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