一種超密集異構(gòu)網(wǎng)中聯(lián)合干擾協(xié)調(diào)方法研究

李莉; 葉鵬; 彭張節(jié); 唐延枝

doi:10.11999/JEIT180290

一種超密集異構(gòu)網(wǎng)中聯(lián)合干擾協(xié)調(diào)方法研究

doi: 10.11999/JEIT180290 cstr: 32379.14.JEIT180290

上海師范大學(xué)信息與機(jī)電工程學(xué)院 ??上海 ??200234

基金項(xiàng)目: 國(guó)家自然科學(xué)基金青年科學(xué)基金(61701307)，上海高校青年教師培養(yǎng)資助計(jì)劃(ZZssd16044)

詳細(xì)信息

作者簡(jiǎn)介:
李莉：女，1962年生，博士，教授，研究方向?yàn)檎J(rèn)知異構(gòu)網(wǎng)絡(luò)資源分配和干擾管理

葉鵬：男，1993年生，碩士生，研究方向?yàn)楫悩?gòu)網(wǎng)干擾協(xié)調(diào)方案和無(wú)線通信

彭張節(jié)：男，1982年生，博士，副教授，研究方向?yàn)榇笠?guī)模MIMO技術(shù)與無(wú)線通信協(xié)作傳輸

唐延枝：女，1993年生，碩士生，研究方向?yàn)楫悩?gòu)網(wǎng)干擾協(xié)調(diào)方案和無(wú)線通信

通訊作者:
李莉　lilyxuan@shnu.edu.cn

中圖分類(lèi)號(hào): TN929.5
計(jì)量
- 文章訪問(wèn)數(shù): 2577
- HTML全文瀏覽量: 1127
- PDF下載量: 83
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-03-28
- 修回日期: 2018-10-10
- 網(wǎng)絡(luò)出版日期: 2018-10-25
- 刊出日期: 2019-01-01

Research on Joint Interference Coordination Approach in Ultra-dense Heterogeneous Network

College of Information , Mechanical and Electical Engineering, Shanghai Normal University, Shanghai 200234, China

Funds: The National Natural Science Foundation of China for Distinguished Young Scholar (61701307), The Excellent Young Teachers Program in Higher Education Institutions of Shanghai (ZZssd16044)

摘要

摘要:
針對(duì)5G超密集異構(gòu)網(wǎng)中嚴(yán)重的跨層干擾問(wèn)題，該文提出一種基于現(xiàn)有的增強(qiáng)型小區(qū)間干擾協(xié)調(diào)技術(shù)和協(xié)同多點(diǎn)傳輸技術(shù)的聯(lián)合干擾協(xié)調(diào)方法。運(yùn)用隨機(jī)幾何理論工具推導(dǎo)了兩層超密集異構(gòu)網(wǎng)下用戶(hù)的中斷概率，頻譜效率和網(wǎng)絡(luò)平均遍歷容量表達(dá)式。仿真結(jié)果表明：該文提出的聯(lián)合的干擾協(xié)調(diào)方案，相比于傳統(tǒng)協(xié)同多點(diǎn)傳輸技術(shù)，不僅降低了協(xié)作用戶(hù)數(shù)目，同時(shí)使得用戶(hù)在信干比閾值為0 dB時(shí)的中斷概率降低了15%；相比較于增強(qiáng)型小區(qū)間干擾協(xié)調(diào)技術(shù)，在偏置值為10 dB時(shí)，擴(kuò)展區(qū)域的用戶(hù)頻譜效率改善為35%，整個(gè)網(wǎng)絡(luò)平均遍歷容量提升了3.4%。
- 異構(gòu)網(wǎng)絡(luò) /
- 隨機(jī)幾何理論 /
- 增強(qiáng)型小區(qū)間干擾協(xié)調(diào) /
- 協(xié)同多點(diǎn)傳輸
Abstract:
This paper presents an approach of combining the existing enhanced inter-cell interference coordination technology and the downlink joint transmission scheme of coordinated multi-point transmission technology to solve the problem of serious cross-layer interference in 5G ultra-dense heterogeneous network. With using tools from stochastic geometry theory, the expressions such as the outage probability, spectrum efficiency and network average ergodic capacity of two-layer ultra-dense heterogeneous network are derived. Simulation results show that the proposed joint interference coordination scheme not only reduces the number of cooperative users compared with the traditional coordinated multi-point transmission technology, but also reduces the outage probability of users by 15% in the network at 0 dB. Compared with the enhanced inter-cell interference coordination technology, when the bias value is 10 dB, the user spectrum efficiency in the extended area is improved to 35% and the average traversal capacity of the entire network is increased by 3.4%.
- Heterogeneous network /
- Stochastic theory /
- Enhanced inter-cell interference coordination /
- Coordinated multipoint transmission

HTML全文

圖 1 基于聯(lián)合干擾協(xié)調(diào)方案兩層異構(gòu)網(wǎng)絡(luò)模型

下載: 全尺寸圖片幻燈片

圖 2 不同SIR門(mén)限下的網(wǎng)絡(luò)用戶(hù)平均中斷概率

下載: 全尺寸圖片幻燈片

圖 3 不同偏置值(合作閾值)下每個(gè)基站平均負(fù)載

下載: 全尺寸圖片幻燈片

圖 4 不同偏置值下的邊緣用戶(hù)頻譜效率變化圖

下載: 全尺寸圖片幻燈片

圖 5 不同小基站密度下的網(wǎng)絡(luò)平均吞吐量變化圖

下載: 全尺寸圖片幻燈片

參考文獻(xiàn)(17)

HAO Peng, YAN Xiao, RUYUE Y, et al. Ultra dense network: Challenges, enabling technologies and new trends[J]. China Communications, 2016, 13(2): 30–40.

NGUYEN V M and KOUNTOURIS M. Performance limits of network densification[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(6): 1294–1308. doi: 10.1109/JSAC.2017.2687638

KAMEL M, HAMOUDA W, and YOUSSEF A. Ultra-dense networks: A survey[J]. IEEE Communications Surveys & Tutorials, 2016, 18(4): 2522–2545. doi: 10.1109/COMST.2016.2571730

孫強(qiáng), 徐晨, 吳泳澎. 密集小蜂窩網(wǎng)絡(luò)上行性能分析與導(dǎo)頻調(diào)度[J]. 電子與信息學(xué)報(bào), 2017, 39(11): 2541–2547. doi: 10.11999/JEIT170161

SUN Qiang, XU Chen, and WU Yongpeng. Uplink performance analysis and pilot scheduling for dense small-cell networks[J]. Journal of Electronic &Information Technology, 2017, 39(11): 2541–2547. doi: 10.11999/JEIT170161

JIANG Huilin, PAN Zhiwen, LIU Nan, et al. Gibbs-sampling-based CRE bias optimization algorithm for ultra-dense networks[J]. IEEE Transactions on Vehicular Technology, 2017, 66(2): 1334–1350. doi: 10.1109/TVT.2016.2560900

PEDERSEN K I, WANG Y, STRZYZ S, et al. Enhanced inter-cell interference coordination in co-channel multilayer LTE-advanced networks[J]. IEEE Wireless Communications, 2013, 20(3): 120–127. doi: 10.1109/MWC.2013.6549291

YE Qiaoyang, RONG Beiyu, CHEN Yudong, et al. User association for load balancing in heterogeneous cellular networks[J]. IEEE Transactions on Wireless Communications, 2013, 12(6): 2706–2716. doi: 10.1109/TWC.2013.040413.120676

DEB S, MONOGIOUDIS P, MIERNIK J, et al. Algorithms for enhanced inter-cell interference coordination (eICIC) in LTE HetNets[J]. IEEE/ACM Transactions on Networking, 2014, 22(1): 137–150. doi: 10.1109/TNET.2013.2246820

葉鵬, 李莉, 李海萍, 等. 超密集異構(gòu)網(wǎng)絡(luò)下的系統(tǒng)建模和時(shí)域干擾協(xié)調(diào)分析[J]. 上海師范大學(xué)學(xué)報(bào)(自然科學(xué)版), 2018, 47(2): 164–170. doi: 10.3969/J.ISSN.1000-5137.2018.02.005

YE Peng, LI Li, LI Haiping, et al. Modeling of ultra-dense heterogeneous network and analysis by time-domain interference coordination[J]. Journal of Shanghai Normal University(Natural Sciences), 2018, 47(2): 164–170. doi: 10.3969/J.ISSN.1000-5137.2018.02.005

LEE D, SEO H, CLERCKX B, et al. Coordinated multipoint transmission and reception in LTE-advanced: Deployment scenarios and operational challenges[J]. IEEE Communications Magazine, 2012, 50(2): 148–155. doi: 10.1109/MCOM.2012.6146494

CAO Yu, XIA Hailun, and FENG Chunyan. Evaluation of diverse cell range expansion strategies applying CoMP in heterogeneous network[C]. The 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), London, UK, 2013: 1962–1966. doi: 10.1109/PIMRC.2013.6666465.

朱曉榮, 朱蔚然. 超密集小蜂窩網(wǎng)中基于干擾協(xié)調(diào)的小區(qū)分簇和功率分配算法[J]. 電子與信息學(xué)報(bào), 2016, 38(5): 1173–1178. doi: 10.11999/JEIT150756

ZHU Xiaorong and ZHU Weiran. Interference coordination-based cell clustering and power allocation algorithm in dense small cell networks[J]. Journal of Electronic &Information Technology, 2016, 38(5): 1173–1178. doi: 10.11999/JEIT150756

ALAMMOURI A, ANDREWS G, and BACCELLI F. SINR and throughput of dense cellular networks with stretched exponential path loss[J]. IEEE Transactions on Wireless Communications, 2018, 17(2): 1147–1160. doi: 10.1109/TWC.2017.2776905

CHUN Y J, COTTON S L, DHILLON H S, et al. A stochastic geometric analysis of device-to-device communications operating over generalized fading channels[J]. IEEE Transactions on Wireless Communications, 2017, 16(7): 4151–4165. doi: 10.1109/TWC.2017.2689759

ElSAWY H, DAI W, ALOUINI M S, et al. Base station ordering for emergency call localization in ultra-dense cellular networks[J]. IEEE Access, 2018, 6: 301–315. doi: 10.1109/ACCESS.2017.2759260

JO H S, SANG Y J, XIA P, et al. Heterogeneous cellular networks with flexible cell association: A comprehensive downlink SINR analysis[J]. IEEE Transactions on Wireless Communications, 2012, 11(10): 3484–3495. doi: 10.1109/TWC.2012.081612.111361

STOYAN D, KENDALL W, and MECKE J, Stochastic Geometry and Its Applications[M]. New York: Wiley, 2013: 107–120.

相關(guān)文章

施引文獻(xiàn)

資源附件(0)

訪問(wèn)統(tǒng)計(jì)