基于改进SPM的海上NB-IoT覆盖研究

doi:10.11959/j.issn.1000-436x.2019079

Abstract

Abstract:

Based on the standard SPM,an improved sea surface propagation model was proposed.At the same time,a propagation model correction algorithm based on WLS algorithm was proposed.Using the CW test data of Qiongzhou Strait,the parameters of the improved SPM were corrected.Based on the corrected propagation model,the current base station of Qiongzhou Strait coast was used to carry out link level simulation and coverage simulation for NB-IoT.The experimental results show that the proposed method can effectively achieve the coverage of NB-IoT in Qiongzhou Strait and contribute to the scientific research of Internet of things.

Key words: narrowband Internet of things, standard propagation model, weighted least squares method, continuous wave testing, link budget

CLC Number:

TP391.9

Zheng HU,Baodan CHEN,Jia REN,Yupei FAN,Lian WANG. Research on sea surface NB-IoT coverage based on improved SPM[J]. Journal on Communications, 2019, 40(4): 21-32.

Figures/Tables 28

References 30

[1]	OSSEIRAN A , BOCCARDI F , BRAUN 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.
[2]	FETTWEIS G P . A 5G wireless communications vision[J]. Microwave Journal, 2012,55(12): 24-36
[3]	WANG J , WANG Y . Research on spectrum resource allocation based on cognition in LTE system[C]// International Conference on Computational Science and Engineering. IEEE, 2017: 273-276.
[4]	3GPP. Cellular system support for ultra-low complexity and low throughput cellular internet of things:TR 45.820[S]. 3rd Generation Partnership Project, 2015.
[5]	OH S M , SHIN J S . An efficient small data transmission scheme in the 3GPP NB-IoT system[J]. IEEE Communications Letters, 2017,21(3): 660-663.
[6]	CHEN M , MIAO Y , HAO Y ,et al. Narrow band internet of things[J]. IEEE Access, 2017,PP(99):1.
[7]	邹玉龙, 丁晓进, 王全全 . NB-IoT关键技术及应用前景[J]. 中兴通讯技术, 2017,23(1): 43-46.
	ZOU Y L , DING X J , WANG Q Q . Key technologies and application prospect for NB-IoT[J]. ZTE Technology Journal, 2017,23(1): 43-46.
[8]	何小丹, 宋磊 . 基于速率需求的 NB-IoT 上行覆盖性能[J]. 电信科学, 2016,32(S1): 149-156.
	HE X D , SONG L . NB-IoT uplink coverage performance based on rate requirement[J]. Telecommunications Science, 2016,32(S1): 149-156.
[9]	BEYENE Y D , JANTTI R , RUTTIK K ,et al. On the performance of narrow-band internet of things (NB-IoT)[C]// Wireless Communications and NETWORKING Conference. IEEE, 2017: 1-6.
[10]	LAURIDSEN M , KOVACS I Z , MOGENSEN P ,et al. Coverage and capacity analysis of LTE-M and NB-IoT in a rural area[C]// VehicularTechnology Conference. IEEE, 2017: 1-5.
[11]	MEDEISIS A , KAJACKAS A . On the use of the universal Okumura-Hata propagation prediction model in rural areas[C]// Vehicular Technology Conference Proceedings,2000. IEEE, 2000: 1815-1818.
[12]	SINGH Y . Comparison of Okumura,Hata and COST-231 models on the basis of path loss and signal strength[J]. International Journal of Computer Applications, 2013,59(11): 37-41.
[13]	DALELA C , . Tuning of cost-231 hata model for radio wave propagation predictions[C]// International Conference on Computer Science,Engineering and Applications. 2012: 255-267.
[14]	MARTINEZ Z O N , RODRIGUEZ C , ARIAS O M . Propagation characteristics of managua city based on standard propagation model (SPM) at 850 MHz for 3G-WCDMA systems[C]// Central America and Panama Convention. IEEE, 2014: 1-6.
[15]	王祖良, 樊文生, 郑林华 . 海面电波传播损耗模型研究与仿真[J]. 电波科学学报, 2008,23(6): 1095-1099.
	WANG Z L , FAN W S , ZHENG L H . Research and simulation of sea wave propagation loss model[J]. Chinese Journal of Radio Science, 2008,23(6): 1095-1099.
[16]	徐红艳, 尉明明, 冯玉珉 . 海上移动通信预测模型的选择[J]. 北京交通大学学报, 2005(2): 65-68.
	XU H Y , YAN M M , FENG Y X . The choice of forecasting model for maritime mobile communication[J]. Journal of Beijing Jiaotong Uni-versity, 2005(2): 65-68.
[17]	刘爱国, 察豪 . 海上蒸发波导条件下电磁波传播损耗实验研究[J]. 电波科学学报, 2008,23(6): 1199-1203.
	LIU A G , CHA H . Experimental study on electromagnetic wave prop-agation loss under the condition of offshore evaporation waveguide[J]. Chinese Journal of Radio Science, 2008,23(6): 1199-1203.
[18]	邵立杰 . AIS 海上电波传播模型研究[D]. 大连:大连海事大学, 2014.
	SHAO L J . Research on ais maritime wave propagation model[D]. Dalian:Dalian Maritime University, 2014.
[19]	张利军, 王红光, 康士峰 ,等. 近海面电波传播试验与损耗模型分析[J]. 微波学报, 2017,33(1): 86-90.
	ZHANG L J , WANG H G , KANG S F ,et al. Analysis of near-surface radio wave propagation test and loss model[J]. Journal of Microwaves, 2017,33(1): 86-90.
[20]	POPOOLA S I , ATAYERO A A , FARUK N ,et al. Standard propagation model tuning for path loss predictions in built-up environments[C]// International Conference on Computational Science and Its Applications. 2017: 363-375.
[21]	陈星 . TVWS频段的SPM模型海上传播校正研究[D]. 海口:海南大学, 2016.
	CHEN X . Research on SPM model sea propagation correction in TVWS band[D]. Haikou:Hainan University, 2016.
[22]	CAPSONI C , LUINI L , PARABONI A ,et al. A New Prediction Model of Rain Attenuation That Separately Accounts for Stratiform and Convective Rain[J]. IEEE Transactions on Antennas ＆ Propagation, 2009,57(1): 196-204.
[23]	BENFORD J , SWEGLE J A , SCHAMILOGLU E . High power microwaves[M]. Boca Raton: CRC PressPress, 2015.
[24]	ITU. Specific attenuation model for rain in prediction methods:RP.838-2[S]. International Technological University, 2005.
[25]	韩湘逸 . 台风特征参数及风雨联合概率模型研究[D]. 湘潭:湖南科技大学, 2015.
	HAN X Y . Study on typhoon characteristic parameters and wind and rain joint probability model[D]. Xiangtan:Hunan University of Sci-ence and Technology, 2015.
[26]	SHIFENG K , HONGGUANG W . Analysis of microwave oven-thehorizon propagation on the sea[C]// Microwave Conference APMC 2009 . IEEE , 2009: 1545-1548.
[27]	高鹏, 周胜, 涂国防 . 一种基于路测数据的传播模型校正方法[J]. 华中科技大学学报(自然科学版), 2010,38(03): 72-75.
	GAO P , ZHOU S , TU G F . A method for correcting propagation model based on road test data[J]. Journal of Huazhong University of Science and Technology(Natural Science), 2010,38(03): 72-75.
[28]	LI X . RSS-based location estimation with unknown pathloss model[M]. IEEE Press, 2006.
[29]	罗炬锋, 付耀先, 王营冠 . 基于RSSI测距的WLS定位算法[J]. 华中科技大学学报(自然科学版), 2011,39(11): 34-38.
	LUO J F , FU Y X , WANG Y G . WLS location algorithm based on RSSI ranging[J]. Journal of Huazhong University of Science and Technology(Natural Science), 2011,39(11): 34-38.
[30]	KOVACS I Z , MOGENSEN P , LAURIDSEN M ,et al. LTE IoT link budget and coverage performance in practical deployments[C]// International Symposium on Personal,Indoor and Mobile Radio Communications. IEEE, 2017: 1-6.

Metrics

Recommended 0

No Suggested Reading articles found!

方向	信道名称	信道作用
上行	NPUSCH	上行控制、上行数据发送
	NPRACH	上行随机接入
	NPDSCH	下行随机接入、下行数据发送
下行	NPBCH	广播消息
	NPDCCH	上下行调度

参数	意义
L_s	传播损耗
A₁	偏移常量
A₂	lgd的乘积因子
A₃	基站天线的高度因子
A₄	衍射的乘积因子
A₅	lgdlgH_b的乘积因子
A₆	移动台高度增益乘积因子
A₇	地貌损耗乘积因子
d	基站和移动台之间的距离
H_b	基站天线有效高度/m
diffraction	遇到障碍物发生衍射损耗
clutter	地貌加权平均损耗
H_m	移动台天线高度/m

参数	值
A₁	10.51
A₂	44.9
A₃	5.83
A₄	0
A₅	-6.55
A₆	0
A₇	1

项目	参数
发射机	Keysight N9310A
功率放大器	RFGL-1800A
发射天线	全向天线，增益>10 dBi
接收天线	频率范围：700～2 700 MHz，增益：>10 dBi
信号接收机	Keysight N9342C
后台分析软件	Matlab 2016A、Atoll

参数	意义	单位
L_UL	上行链路最大传播损耗	dB
L_DL	下行链路最大传播损耗	dB
P_UE	移动台最大发射功率	dBm
P_BS	基站最大发射功率	dBm
Ga_BS	基站天线增益	dBi
Ga_UE	移动台天线增益	dBi
Lf_BS	馈线损耗	dB
M_f	阴影衰落余量（与传播环境有关）	dB
M_i	干扰余量（与系统设计容量有关）	dB
L_P	建筑物穿透损耗	dB
L_b	人体损耗	dB
S_BS	基站接收机灵敏度（与多径传输有关）	dBm
S_UE	移动台接收机灵敏度（与多径传输有关）	dBm

Research on sea surface NB-IoT coverage based on improved SPM

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 28

References 30

Related Articles 1

Metrics

Recommended 0

参数	参数值
参数	NB-IoT stand-alone上行		NB-IoT stand-alone下行
物理信道	NPUSCH	NPRACH	NPBCH	NPDCCH	NPDSCH
传输速率/(kbit.s^-1)	15.0	N/A	N/A	N/A	8.5
天线数	2T2R	2T2R	2T2R	4T4R	4T4R
发射功率/dBm	23	23	43	43	43
子载波带宽/kHz	15	3.75	15	15	15
子载波数	12	1	12	12	12
占用带宽/kHz	180	3.75	180	180	180
馈线损耗/dB	0.5	0.5	0.5	0.5	0.5
天线增益/dBi	15	15	15	15	15
接收机灵敏度/dBm	-151.0	-151.0	-135.3	-131.8	-132.7
阴影衰落余量/dB	11.6	11.6	11.6	11.6	11.6
干扰余量/dB	2	2	5	5	5
建筑物穿透损耗/dB	11	11	11	11	11
人体损耗/dB	0	0	0	0	0
最大允许路径损耗/dB	133.1	134.0	136.9	134.3	136.0
覆盖半径/km	26.8	26.9	32.5	29.6	31.2

编号	基站名称	经度	纬度	方位角
1	秀英港基站	110.276°	20.024 9°	350°
2	海安港基站	110.215°	20.271 4°	170°
3	南港基站	110.156°	20.060 9°	350°
4	北港基站	110.126°	20.231 0°	170°

项目	面积/km²	覆盖区域
Coverage by Signal Level 0	408.113	100.00%
Best Signal Level≥-70 dBm	25.089	6.15%
Best Signal Level≥-75 dBm	114.890	28.15%
Best Signal Level≥-80 dBm	219.475	53.77%
Best Signal Level≥-85 dBm	313.421	76.80%
Best Signal Level≥-90 dBm	391.977	96.05%
Best Signal Level≥-95 dBm	407.737	99.91%
Best Signal Level≥-100 dBm	408.113	100.00%
Best Signal Level≥-105 dBm	408.113	100.00%