Wireless Backhaul: Performance Modeling and Impact on User Association for 5G

被引：34

作者：

Jaber, Mona ^{[1
,2
]}

Javier Lopez-Martinez, F. ^{[3
]}

Imran, Muhammad Ali ^{[1
,4
]}

Sutton, Andy ^{[5
,6
]}

Tukmanov, Anvar ^{[7
]}

Tafazolli, Rahim ^{[1
]}

机构：

[1] Univ Surrey, Inst Commun Syst, Innovat Ctr 5G, Guildford GU2 7XH, Surrey, England

[2] Fujitsu Labs Europe, Hayes UB4 8FE, England

[3] Univ Malaga, ETSI Telecomun, Dept Commun Engn, E-29071 Malaga, Spain

[4] Univ Glasgow, Sch Engn, Glasgow G12 8QQ, Lanark, Scotland

[5] BT Grp Plc, BT Architecture & Technol, London EC1A 7AJ, England

[6] Univ Salford, Sch Comp Sci & Engn, Salford M5 4WT, Lancs, England

[7] BT Res & Innovat, Wireless Res Team, Ipswich IP5 3RE, Suffolk, England

来源：

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2018年 / 17卷 / 05期

基金：

英国工程与自然科学研究理事会;

关键词：

Wireless backhaul; performance; modelling; user-centric-backhaul; CHANNEL CAPACITY; DURATION;

D O I：

10.1109/TWC.2018.2806456

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wireless technology is the strongest contender for catering for the 5G backhaul (BH) stipulated performance, where optical fiber is unavailable. In the presence of ultra-dense networks, such occurrences are exponentially increasing, and different wireless technologies are investigated for this application. We present the first BH-specific wireless link performance modeling that considers its inherent line-of-sight nature, together with an appropriate representation of the network topology using stochastic geometry. To this end, novel tractable models are obtained to capture the performance of wireless BH links. These are integrated into a multi-hop hybrid BH performance modeling framework and are applied in the analysis of a BH-aware user association optimization problem.

引用

页码：3095 / 3110

页数：16

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