Delay Modeling for Heterogeneous Backhaul Technologies

With the foreseeable explosive growth of small cell deployment, backhaul has become the next big challenge in the next generation wireless networks in terms of capacity and latency, especially for delay-sensitive services and network functionalities. Heterogeneous backhaul deployment using different wired and wireless technologies may be a potential solution to meet this challenge. Therefore, it is cardinal to evaluate and compare the performance characteristics of various backhaul technologies as a means to understand the effect of backhaul on the total network performance. In this paper, we propose relevant backhaul models and study the delay performance of promising technologies, including fiber, xDSL, millimeter wave (mmWave), and sub-6 GHz, which have different characteristics. Numerical results are presented to show the delay performance characteristics of different backhaul solutions.

[1]  Theodore S. Rappaport,et al.  Millimeter Wave Channel Modeling and Cellular Capacity Evaluation , 2013, IEEE Journal on Selected Areas in Communications.

[2]  S. Chia,et al.  The next challenge for cellular networks: backhaul , 2009, IEEE Microwave Magazine.

[3]  Raghuraman Mudumbai,et al.  Interference Analysis for Highly Directional 60-GHz Mesh Networks: The Case for Rethinking Medium Access Control , 2011, IEEE/ACM Transactions on Networking.

[4]  Junyi Li,et al.  Network densification: the dominant theme for wireless evolution into 5G , 2014, IEEE Communications Magazine.

[5]  Tony Q. S. Quek,et al.  Backhauling in Heterogeneous Cellular Networks: Modeling and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

[6]  H. Raza A brief survey of radio access network backhaul evolution: part II , 2013, IEEE Communications Magazine.

[7]  Konstantina Papagiannaki,et al.  Measurement and analysis of single-hop delay on an IP backbone network , 2003, IEEE J. Sel. Areas Commun..

[8]  Julius Robson,et al.  Small Cell Backhaul Requirements by the NGMN Alliance Version : 1 . 0 Final Date : 4 th June 2012 Document Type : Final Deliverable ( approved ) Confidentiality Class : P-Public Authorised Recipients : , 2022 .

[9]  Gerhard Fettweis,et al.  Heterogeneous Backhaul for Cloud-Based Mobile Networks , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[10]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[11]  P. V. Mieghem,et al.  Delay Distributions on Fixed Internet Paths , 2001 .

[12]  Ralf Kleineisel,et al.  Statistical Characteristics of Active IP One Way Delay Measurements , 2006, International conference on Networking and Services (ICNS'06).

[13]  Theodore S. Rappaport,et al.  Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks , 2014, IEEE Journal on Selected Areas in Communications.

[14]  Jeffrey G. Andrews,et al.  Fundamentals of Inter-Cell Overhead Signaling in Heterogeneous Cellular Networks , 2012, IEEE Journal of Selected Topics in Signal Processing.

[15]  Admela Jukan,et al.  The Evolution of Cellular Backhaul Technologies: Current Issues and Future Trends , 2011, IEEE Communications Surveys & Tutorials.

[16]  S. Parkvall,et al.  Evolving Wireless Communications: Addressing the Challenges and Expectations of the Future , 2013, IEEE Vehicular Technology Magazine.

[17]  George Varghese,et al.  Router Support for Fine-Grained Latency Measurements , 2012, IEEE/ACM Transactions on Networking.