一种提升城区网格道路5G覆盖率的新方法

doi:10.11959/j.issn.1000-0801.2022299

摘要/Abstract

摘要：

城区网格道路是移动通信用户重要的使用场景。与其他用户静止场景相比，道路上UE移动性导致客户感知相对较差。传统城区网格道路测试优化存在整治不彻底、优化效率低、工单重复派、工作无重点等痛点。提出了一种提升城区网格道路5G覆盖率的新方法，引入测试问题圆域的概念，实现了零星测试问题点的有效聚合，并用“聚合度”“重复度”定量标识测试问题优先级；通过测试问题圆域“理想方位角”和“合适小区”的计算，提出了测试问题最优覆盖小区的计算方法，可有效输出问题圆域的优化方案。所提方法已在现网部署，有效支撑了全网城区网格道路测试优化工作，5G覆盖率由89.95%提升到98.86%，应用效果较好。

关键词: 网格道路, 5G覆盖率, 问题圆域, 合适小区, 理想方位角, 最优小区

Abstract:

Urban grid road is an important use scenario for mobile communication users.Compared with other static scenes, UE mobility on the road leads to relatively poor customer perception.The traditional urban grid road test optimization has some pain points, such as incomplete regulation, low optimization efficiency, repeated work orders, no focus and so on.A new method to improve 5G coverage of urban grid roads was proposed.The proposed method introduces the concept of problem circle, realizes the effective aggregation of sporadic test problem points, and uses“aggregation degree” and “repetition degree” to quantitatively identify the priority of test problems.By introducing the concepts of “ideal azimuth” and “appropriate cell”, the method of the optimal coverage cell of the problem circle was proposed, which can effectively output the optimization scheme of the problem circle.This method has been deployed in the current network and effectively supports the test and optimization of urban grid roads.The 5G coverage rate has increased from 89.95% to 98.86%.

Key words: grid road, 5G coverage rate, problem circle, appropriate cell, ideal azimuth, optimal cell

中图分类号:

TN929.5

张叶江, 陈捷, 胡坚, 杨晓康, 陆赟, 梁腾. 一种提升城区网格道路5G覆盖率的新方法[J]. 电信科学, 2022, 38(12): 94-102.

Yejiang ZHANG, Jie CHEN, Jian HU, Xiaokang YANG, Yun LU, Teng LIANG. A new method to improve 5G coverage of urban grid roads[J]. Telecommunications Science, 2022, 38(12): 94-102.

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参考文献 15

[1]	黄劲安, 梁广智, 陆俊超 ,等. 5G 超密集异构网络的上行性能提升方案[J]. 移动通信, 2018,42(10): 52-57.
	HUANG J N , LIANG G Z , LU J C ,et al. Uplink performance improvement scheme for 5G ultra-dense heterogeneous net-works[J]. Mobile Communications, 2018,42(10): 52-57.
[2]	冯贵兰, 李正楠, 周文刚 . 大数据分析技术在网络领域中的研究综述[J]. 计算机科学, 2019,46(6): 1-20.
	FENG G L , LI Z N , ZHOU W G . Research on application of big data analytics in network[J]. Computer Science, 2019,46(6): 1-20.
[3]	黄毅华, 陈秀敏, 陈相旭 ,等. 5G 网络路测分析及应用[J]. 移动通信, 2021,45(2): 119-123.
	HUANG Y H , CHEN X M , CHEN X X ,et al. Analysis and ap-plication of drive test for 5G network[J]. Mobile Communica-tions, 2021,45(2): 119-123.
[4]	郭希蕊, 张涛, 张强 ,等. 5G室内外同频组网干扰解决方案[J]. 电信科学, 2022,38(2): 139-148.
	GUO X R , ZHANG T , ZHANG Q ,et al. A solution for 5G in-door and outdoor co-frequency network interference[J]. Tele-communications Science, 2022,38(2): 139-148.
[5]	付道繁 . 5G 异构组网技术工程实施探讨[J]. 电信快报, 2019(3): 6-9,20.
	FU D F . Discussion on the implementation of heterogeneous networking technology in 5G[J]. Telecommunications Informa-tion, 2019(3): 6-9,20.
[6]	刘帝辰 . 基于 NETMAX 的基站网络优化[J]. 中国新通信, 2022,24(4): 32-34.
	LIU D C . Wireless network optimization based on NETMAX[J]. China New Telecommunications, 2022,24(4): 32-34.
[7]	陈捷 . 一种批量测算目标区域 4G 覆盖小区的方法[J]. 移动通信, 2021,45(6): 114-119.
	CHEN J . A method of batch calculation of 4G coverage cells in target areas[J]. Mobile Communications, 2021,45(6): 114-119.
[8]	朱格苗, 徐慧, 王计斌 ,等. 基于用户数据实现天线方位角纠偏的方法[J]. 江苏通信, 2020,36(3): 49-52,64.
	ZHU G M , XU H , WANG J B ,et al. A method of antenna azi-muth correction based on user data[J]. Jiangsu Communication, 2020,36(3): 49-52,64.
[9]	张叶江, 孙磊, 尹以雁 ,等. 700 MHz频段在5G网络优化中的应用研究[J]. 电信科学, 2022,38(6): 156-163.
	ZHANG Y J , SUN L , YIN Y Y ,et al. Research on the applica-tion of 700 MHz frequency band in 5G network optimization[J]. Telecommunications Science, 2022,38(6): 156-163.
[10]	宋春涛, 高洁, 张恒 . 基于邻区切换的网络结构合理性考量方法[J]. 邮电设计技术, 2014(9): 45-48.
	SONG C T , GAO J , ZHANG H . A method of network evalua-tion based on SHO[J]. Designing Techniques of Posts and Tel-ecommunications, 2014(9): 45-48.
[11]	卜斌龙, 林学进, 孙全有 . 5G宏网天线覆盖解决方案及现网融合技术[J]. 移动通信, 2019,43(4): 21-24,42.
	BU B L , LIN X J , SUN Q Y . Antenna solution to 5G macro network coverage and multi-network integration[J]. Mobile Communications, 2019,43(4): 21-24,42.
[12]	杨丹, 张婧, 吕沛锦 ,等. 基于现网挖潜的 4G/5G 低成本无线覆盖方案[J]. 电信科学, 2021,37(9): 168-174.
	YANG D , ZHANG J , LYU P J ,et al. 4G/5G low-cost wireless coverage scheme based on tapping the potential of existing net-works[J]. Telecommunications Science, 2021,37(9): 168-174.
[13]	余勇昌, 张典, 丁明玲 . 5G时代4G/5G共天馈面解决方案[J]. 电信科学, 2021,37(4): 140-150.
	YU Y C , ZHANG D , DING M L . Solution of common antenna of 4G/5G in 5G era[J]. Telecommunications Science, 2021,37(4): 140-150.
[14]	葛强 . 基于大数据分析的天馈工参核查及校准方法[J]. 信息通信, 2019,32(6): 251-252.
	GE Q . A method of verification and calibration for antenna en-gineering parameter based on big data analysis[J]. Information＆ Communications, 2019,32(6): 251-252.
[15]	赵明峰, 冯涛, 宋勇 ,等. 地貌特征差异对TD-LTE网络性能的影响[C]// 中国通信学会信息通信网络技术委员会 2015 年年会论文集. [出版地:出版者不详], 2015: 19-26.
	ZHAO M F , FENG T , SONG Y . Effects of different geomorphic features on TD-LTE network performance[C]// Proceedings of the 2015 Annual Meeting of the Information and Communica-tion Network Technical Committee of the Chinese Communica-tions Society.[S.l.:s.n.], 2015: 19-26.

夹角						距离/m
夹角	50	100	150	200	250	300	350	400	450	500	550	600
5°	1.89%	6.78%	11.94%	15.08%	17.10%	18.03%	18.53%	18.72%	18.76%	18.81%	18.81%	18.81%
10°	3.04%	11.34%	19.82%	25.63%	29.23%	30.80%	31.72%	32.23%	32.41%	32.46%	32.46%	32.46%
15°	3.78%	14.75%	25.50%	33.20%	37.57%	39.70%	40.85%	41.59%	41.77%	41.82%	41.82%	41.82%
20°	4.61%	17.93%	30.94%	39.97%	45.27%	47.72%	48.87%	49.65%	49.84%	50.02%	50.02%	50.02%
25°	5.16%	20.70%	36.38%	46.75%	52.42%	55.09%	56.48%	57.25%	57.49%	57.68%	57.68%	57.68%
30°	5.62%	22.68%	39.70%	51.13%	57.22%	60.40%	61.96%	62.89%	63.16%	63.35%	63.35%	63.35%
35°	6.22%	24.67%	42.83%	55.46%	62.15%	65.61%	67.22%	68.19%	68.56%	68.74%	68.74%	68.74%
40°	6.78%	26.56%	45.92%	59.20%	66.30%	69.85%	71.55%	72.52%	72.89%	73.08%	73.08%	73.08%
45°	7.10%	27.71%	47.99%	62.01%	69.34%	73.08%	74.87%	75.89%	76.26%	76.44%	76.49%	76.49%
50°	7.51%	28.77%	49.79%	64.36%	72.15%	75.93%	77.73%	78.75%	79.11%	79.30%	79.35%	79.35%
55°	7.75%	29.28%	21.31%	66.11%	74.04%	77.92%	79.81%	80.82%	81.19%	81.37%	81.42%	81.42%
60°	7.93%	30.20%	52.79%	67.73%	75.70%	79.71%	81.60%	82.62%	82.99%	83.22%	83.26%	83.26%
65°	8.11%	30.94%	53.80%	69.06%	77.22%	81.37%	83.40%	84.46%	84.88%	85.11%	85.15%	85.15%
70°	8.21%	31.54%	54.96%	70.40%	78.70%	82.94%	84.97%	86.03%	84.45%	86.68%	86.72%	86.72%
75°	8.34%	31.95%	55.83%	71.46%	79.81%	84.05%	86.08%	87.14%	87.60%	87.83%	87.87%	87.87%
80°	8.58%	32.50%	56.52%	72.29%	80.73%	84.97%	87.00%	88.06%	88.52%	88.75%	88.80%	88.80%

地市	问题点聚合节省费用				问题重复出现占比			网格道路5G覆盖率
地市	聚合前工单/张	聚合后工单/张	降幅	节省费用/万元	实施前	实施后	改善比例	实施前	实施后	改善比例
全省	12 134	8 725	28.09%	102.27	14.35%	6.63%	-7.72%	89.95%	98.86%	8.91%
版纳	406	288	29.06%	3.54	13.86%	6.78%	-7.08%	97.96%	99.20%	1.24%
保山	244	166	28.59%	1.74	4.26%	8.33%	4.07%	87.56%	99.45%	11.89%
楚雄	768	571	25.65%	5.91	15.71%	6.84%	-8.87%	95.89%	99.20%	3.31%
大理	822	560	31.87%	7.86	10.74%	5.44%	-5.30%	82.78%	98.92%	16.15%
德宏	91	86	5.49%	0.15	11.39%	0	-11.39%	90.05%	99.68%	9.63%
迪庆	144	102	29.17%	1.26	7.69%	0	-7.69%	87.17%	99.51%	12.34%
红河	976	752	22.95%	6.72	12.08%	1.08%	-11%	89.65%	99.30%	9.65%
昆明	3 830	2 667	30.37%	34.89	16.75%	8.19%	-8.56%	93.50%	98.77%	5.27%
丽江	342	256	25.15%	2.58	9.68%	9.43%	-0.25%	95.54%	99.06%	3.53%
临沧	539	406	24.68%	3.99	3.60%	4.90%	1.30%	74.09%	99.12%	25.02%
怒江	107	80	25.23%	0.81	12.70%	11.76%	-0.94%	70.46%	97.73%	27.27%
普洱	432	347	19.68%	2.55	10.68%	0	-10.68%	97.36%	99.28%	1.92%
曲靖	1 302	976	25.04%	9.78	24.92%	6.95%	-17.97%	89.29%	98.86%	9.58%
文山	811	491	39.46%	9.6	9.95%	11.11%	1.16%	88.35%	98.96%	10.61%
玉溪	774	571	26.23%	6.09	10.35%	7.62%	-2.72%	95.57%	97.33%	1.76%
邵通	566	406	28.27%	4.8	16.53%	9.76%	-6.77%	94.08%	97.37%	3.29%