基于大数据的5G流量驻留比极限值研究

doi:10.11959/j.issn.1000-0801.2023119

Abstract

Abstract:

The 5G flow residence ratio is an important indicator used by communication operators to evaluate the coverage capacity of 5G networks, and it is also an important starting point for the networks’ planning, optimization, maintenance and operation.To ensure user perception, the actual wireless transmission influencing factors, existing network structure and network coordination strategy, etc., need to be considered.The resident capacity of a 5G network in the 3.5 GHz frequency band was evaluated, analyzed and calculated, and the theoretical ultimate value of the 5G traffic resident ratio based on the analysis of network and users’ big data was put forward, which explained the positive relationship between user perception and residence ratio, and provided a reference for the reasonable theoretical ultimate value of 5G traffic resident ratio.

Key words: big data, 5G, resident ratio, user perception, theoretical ultimate value

CLC Number:

TP393

Hongjia LIU, Bei LI, Wei ZHAO, Guoping XU, Xinyan WANG. Research on theoretical ultimate value of 5G flow residence ratio based on big data[J]. Telecommunications Science, 2023, 39(10): 112-119.

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References 11

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分类	参数	1.8 GHz UL	3.5 GHz UL	1.8 GHz DL	3.5 GHz DL
频段/GHz		1.8	3.5	1.8	3.5
穿损损耗	穿透损耗/dB	19	26	19	26
	身体和路径损耗/dB	7	7	7	7
	阴影衰落/dB	8	11	8	11
发射功率	UE功率/dBm	23	26	46	53
					55
接收灵敏度	噪声系数/dB	2.3	3.5	7	7
	干扰余量/dB	2	3	6	7
	接收灵敏度/dBm	-106	-99	-106	-99
天线	天线增益/dBi	18	64:10:00	18	64:10:00
			32:11.8		32:11.8
	多进多出增益/dB	0	64:15:00	0	64:15:00
			32:12:00		32:12:00
	馈线损耗/dB	0.5	0	0.5	0

天线	基站发射功率200 W		基站发射功率320 W
天线	室内Gap/dB	室外Gap/dB	室内Gap/dB	室外Gap/dB
64TR	9	2	7	0
32TR	11	3	9	2

RSRP电平区间	(-∞,-120]	(-120,-115]	(-115,-112]	(-112,-110]	(-110,-105]	(-105,-100]	(-100,+∞)
4G室内采样点数	63 056 100	181 688 261	223 774 033	476 692 981	1 424 359 077	1 763 633 778	9 945 225 584
4G室外采样点数	12 915 090	37 213 291	45 833 236	97 635 900	291 736 171	361 226 195	2 036 973 946
5G室内采样点数	3 891 759	99 539 022	347 255 737	577 144 198	631 840 730	868 399 317	1.111×1 010
5G室外采样点数	797 106	20 387 507	71 124 660	118 210 259	129 413 157	177 864 929	2 275 538 223

RSRP电平区间	(-∞,-120]	(-120,-115]	(-115,-112]	(-112,-110]	(-110,-105]	(-105,-100]	(-100,+∞)
Re_4G	2.72	12.35	15.85	16.87	19.53	21.24	22.03
Re_5G	4.04	12.45	18.06	25.38	31.72	36.52	43.88

RSRP电平区间RSRP电平区间	(-∞,-120]	(-120,-115]	(-115,-112]	(-112,-110]	(-110,-105]	(-105,-100]	(-100,+∞)
X_4G室内	0.000 129	0.001 686	0.002 663	0.006 039	0.020 896	0.028 138	0.164 549
X_4G室外	0.000 026	0.000 345	0.000 545	0.001 237	0.004 280	0.005 763	0.033 703
X_5G室内	0.000 017	0.001 338	0.006 769	0.015 811	0.021 629	0.034 227	0.526 110
X_5G室外	0.000 003	0.000 274	0.001 386	0.003 238	0.004 430	0.007 010	0.107 757

Research on theoretical ultimate value of 5G flow residence ratio based on big data

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RSRP电平区间	(-∞,-120]	(-120,-115]	(-115,-112]	(-112,-110]	(-110,-105]	(-105,-100]	(-100,+∞)
Y_4G室内	0.001 004	0.002 892	0.003 562	0.010 07	0.043 519	0.057 249	0.641 999
Y_4G室外	0.000 229	0.001 194	0.002 835	0.004 271	0.014 626	0.015 665	0.114 147

RSRP电平区间	(-∞,-120]	(-120,-115]	(-115, -112]	(-112, -110]	(-110, -105]	(-105,-100]	(-100,+∞)
Y_4G室内	0.001 004	0.002 892	0.003 562	0.010 070	0.043 519	0.057 249	0.641 999
Y_4G室外	0.000 229	0.001 194	0.002 835	0.004 271	0.014 626	0.015 665	0.114 147