TD-LTE与LTE FDD系统间干扰分析及射频技术指标

doi:10.11959/j.issn.1000-0801.2016318

Abstract

Abstract:

The system interference of 1.9 GHz TD-LTE and 1.8 GHz/2.1 GHz LTE FDD was studied. Firstly, the interference mechanisms and scenarios were analyzed, which focused on the interference of BS-BS. Moreover, the radio frequency requirements of TD-LTE and LTE FDD coexistence were given as the result of deterministic analysis and simulation calculations. The RF requirements were finally verified through lab tests as well as extensive field tests. The conclusion provides meaningful reference of 4G system utilization and BS coordination in China.

Key words: LTE, system interference, radio frequency requirement, minimum coupling loss, isolation degree

Jian FANG,Biao HUANG,Peichuan KANG,Ying XU. Interference analysis and radio frequency requirement of TD-LTE and LTE FDD systems[J]. Telecommunications Science, 2016, 32(12): 61-66.

Figures/Tables 12

References 8

[1]	GSA. EvolutiontoLTEreport,4Gmarket＆technologyupdate[EB/OL]. [2016-08-20]. .
[2]	工业和信息化部. 2015年12月通信业主要情况[EB/OL]. [2016-08-20]. .
[3]	ITU Framework and overall objectives of the future development of IMT-2000 and systems beyond IMT-2000: Recommendation ITU-R M.1645[R]. [S.l.:s.n.], 2003.
[4]	ITU Spectrum requirements for the future development of IMT?2000 and IMT-Advanced:Report ITU-R M.2078[R]. [S.l.:s.n.], 2006.
[5]	3GPP Radio frequency （RF）system scenarios: TR36.942 V9.2.0[R]. [S.l.:s.n.], 2009.
[6]	ETSI Universal mobile telecommunication system（UMTS）:selection procedures for the choice of radio transmission technologies of the UMTS:TR 101 112（V3.2.0）[R]. [S.l.:s.n.], 1998.
[7]	ITU Characteristics of terrestrial IMT-2000 systems for frequency sharing/interference analyses: Report ITU-R M. 2039-1[R]. [S.l.:s.n.], 2009.
[8]	3GPP Base station radio transmission and reception: TS 36.104 V9.2.0[R]. [S.l.:s.n.], 2009.

Metrics

Recommended 0

No Suggested Reading articles found!

频段/MHz	LTE制式	分配情况
1 755～1 785/1 850～1 880	LTE FDD	1 765～1 780/1 860～1 875 MHz
		中国电信
		1 750～1 765/1 845～1 860 MHz
		中国联通
1 880～1 920	TD-LTE	中国移动
1 920～1 980/2 110～2 170	LTE FDD	1 920～1 935/2 110～2 125 MHz
		中国电信
		1 940～1 955/2 130～2 145 MHz
		中国联通WCDMA

参数	上行链路		下行链路
频段/MHz		1 880～1 920
载波带宽/MHz		20
RB大小/kHz		180
小区结构	宏蜂窝结构，三扇区天线，基站间距500 m
每扇区用户数	每扇区5个用户		依可用RB数目而定，每用户占用1个RB
基站天线类型		65°定向天线
天线高度/m	30		1.5
接收天线增益（包括损耗）/dBi	15		0
发射天线增益（包括损耗）/dBi	0		15
发射功率/dBm	最大发射功率：24最小发射功率：-30		46@20 MHz
底部噪声/（dBm·Hz^-1）		-174
噪声系数/dB	5		9
传播模型	基站与基站之间，采用双折线模型
	基站与终端之间采用UMTS 30.03中的车载环境模型终端与终端之间采用Xia模型

参数			取值			计算方法
干扰基站最大发射功率P_max/dBm			46			P_max
基站之间基本的ACIR/dB			40.4			ACIR
基站之间的MCL	30	44		50	56	MCL
	（共站）	（50 m）		（100 m）	（200 m）
被干扰基站输入电平/dBm	-24.4	-38.4		-44.4	-50.4	P_max-ACIR-MCL
基站接收机噪声功率N/（dBm·MHz^-1）			-109			N
I/N/dB			-6			I/N
允许的最大干扰电平I/（dBm·MHz^-1）			-115			N+I/N
所需额外隔离度/dB	77.6	63.6		57.6	51.6	P_max-ACIR-MCL-13-（N+I/N）
要求的带外发射电平/（dBm·MHz^-1）	-85	-71		-65	-59	-（N+I/N）-MCL

带内发射功率 /（dBm·（5 MHz）^-1）	MCL/dB	所需的阻塞电平值/dBm	阻塞类型	3GPP规定的阻塞电平/dB	额外滤波器/dB
43	44	-1	邻道阻塞	-52	51
			带外阻塞	-43	42
	50	-7	邻道阻塞	-52	45
			带外阻塞	-43	36
	56	-13	邻道阻塞	-52	39
			带外阻塞	-43	30

仿真结果	系统共站（MCL=30 dB）	系统间距144 m	系统间距288 m
所需ACIR/dB	86.9	81.6	80.2
额外隔离/dB	46.5	41.2	39.8

Interference analysis and radio frequency requirement of TD-LTE and LTE FDD systems

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 8

Related Articles 15

Metrics

Recommended 0

干扰场景	滤波器位置/MHz	载波配置/MHz	TDD基站受干扰情况
1	FDD:1 850～1 875	FDD:1 855～1 875	无干扰
	TDD:1 880～1 915	TDD:1 880～1 900
2	FDD:1 850～1 880	FDD:1 860～1 880	无干扰
	TDD:1 885～1 915	TDD:1 885～1 905
3	FDD:1 850～1 880	FDD:1 855～1 875	受杂散干扰
	TDD:1 880～1 915	TDD:1 880～1 900
4		FDD:1 860～1 880	受阻塞干扰
		TDD:1 885～1 905
5		FDD:1 855～1 875	无干扰
		TDD:1 885～1 905

[1]	Hao XU, Lin WU. Research on VoWi-Fi interoperability based on 5G network [J]. Telecommunications Science, 2023, 39(5): 144-154.
[2]	Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG. Student knowledge tracking based multi-indicator exercise recommendation algorithm [J]. Telecommunications Science, 2022, 38(9): 129-143.
[3]	Fengxun GONG, Jiankun LI. Characteristics of simplified frequency-domain Volterra series based S-mode receiver [J]. Telecommunications Science, 2022, 38(6): 100-110.
[4]	Hanyang LI, Weiwen WENG, Nan LI, Long ZHANG, Jinxia CHENG. Research of 5G NR RedCap technology [J]. Telecommunications Science, 2022, 38(3): 93-101.
[5]	Bei LI, Yuhua HU, Guanghai LIU, Tian XIAO, Chuntao SONG, Yi ZHANG, Bo WANG, Qunqing WANG. Research on co-spectrum sharing technology in LTE 2.1 GHz [J]. Telecommunications Science, 2022, 38(12): 112-120.
[6]	Shanzhi CHEN, Yuming GE, Yan SHI. Technology development, application and prospect of cellular vehicle-to-everything (C-V2X) [J]. Telecommunications Science, 2022, 38(1): 1-12.
[7]	Xiaorong XU, Weiwei ZHU, Jianrong BAO, Weiping ZHU, Wei FENG, Yingbiao YAO. Energy-efficiency priority based beamforming design and optimization in IRS-assisted SWIPT system [J]. Telecommunications Science, 2022, 38(1): 36-46.
[8]	Guangyu LI, Yanping LIANG, Li YU, Kun WANG, Yangming CHEN, Sijia LIU. AI based scheme on voice service quality evaluation and assurance [J]. Telecommunications Science, 2021, 37(5): 64-71.
[9]	Bingjiang CAI. LTE resource-aware dynamic adaptive wireless multimedia streaming system [J]. Telecommunications Science, 2021, 37(1): 147-158.
[10]	Lu CHENG,Lihua YANG,Zenghao WANG,Jie ZHANG,Yan LIANG. Historical information based iterative soft Kalman time-varying channel estimation method [J]. Telecommunications Science, 2020, 36(9): 23-31.
[11]	Haiyan CAO,Wenjuan HU,Yingjuan ZHI,Fangmin XU,Xin FANG. Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems [J]. Telecommunications Science, 2020, 36(6): 90-96.
[12]	Feng LIN,Liujing XU,Xiaohua CHEN,Weiqiang QI,Ke CHEN,Tiantian ZHU. Method of Webshell detection based on multi-view feature fusion [J]. Telecommunications Science, 2020, 36(6): 125-132.
[13]	Wei LIU,Yipeng ZHANG,Xuying GUAN,Shangchao KUANG,Feng LI. C-V2X city-scale demonstration application [J]. Telecommunications Science, 2020, 36(4): 27-35.
[14]	Ke ZHANG,YueJia SUN,Hai HAN. Customer credit modeling and credit granting method based on hybrid algorithm of collaborative filtering and social network [J]. Telecommunications Science, 2020, 36(2): 52-60.
[15]	Dan LI,Lancheng QIN,Jianping WU,Yingying SU,Mingwei XU,Xingang SHI,Yunan GU,Tao LIN. Internet source address verification method based on synchronization and dynamic filtering in address domain [J]. Telecommunications Science, 2020, 36(10): 21-28.