Integrated mmWave Access and Backhaul in 5G: Bandwidth Partitioning and Downlink Analysis

With the increasing network densification, it has become exceedingly difficult to provide traditional fiber backhaul access to each cell site, which is especially true for small cell base stations (SBSs). The increasing maturity of millimeter wave (mmWave) communication has opened up the possibility of providing high-speed wireless backhaul to such cell sites. Since mmWave is also suitable for access links, the third generation partnership project (3GPP) is envisioning an integrated access and backhaul (IAB) architecture for the fifth generation (5G) cellular networks in which the same infrastructure and spectral resources will be used for both access and backhaul. In this paper, we develop an analytical framework for IAB-enabled cellular network using which we provide an accurate characterization of its downlink rate coverage probability. Using this, we study the performance of two backhaul bandwidth (BW) partition strategies, (i) equal partition: when all SBSs obtain equal share of the backhaul BW, and (ii) load-based partition: when the backhaul BW share of an SBS is proportional to its load. Our analysis shows that depending on the choice of the partition strategy, there exists an optimal split of access and backhaul BW for which the rate coverage is maximized. Further, there exists a critical volume of cell-load (total number of users) beyond which the gains provided by the IAB-enabled network disappear and its performance converges to that of the traditional macro-only network with no SBSs.

[1]  Jeffrey G. Andrews,et al.  Modeling and Analyzing Millimeter Wave Cellular Systems , 2016, IEEE Transactions on Communications.

[2]  Jeffrey G. Andrews,et al.  Tractable Model for Rate in Self-Backhauled Millimeter Wave Cellular Networks , 2014, IEEE Journal on Selected Areas in Communications.

[3]  Stefan Parkvall,et al.  5G wireless access: requirements and realization , 2014, IEEE Communications Magazine.

[4]  Harpreet S. Dhillon,et al.  3GPP-Inspired HetNet Model Using Poisson Cluster Process: Sum-Product Functionals and Downlink Coverage , 2017, IEEE Transactions on Communications.

[5]  M. Cenk Gursoy,et al.  Coverage in Heterogeneous Downlink Millimeter Wave Cellular Networks , 2016, IEEE Transactions on Communications.

[6]  Jeffrey G. Andrews,et al.  Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[7]  Jeffrey G. Andrews,et al.  A tractable model for rate in noise limited mmWave cellular networks , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[8]  Giuseppe Caire,et al.  Wireless Backhaul Networks: Capacity Bound, Scalability Analysis and Design Guidelines , 2014, IEEE Transactions on Wireless Communications.

[9]  Harpreet S. Dhillon,et al.  Enriched $K$ -Tier HetNet Model to Enable the Analysis of User-Centric Small Cell Deployments , 2016, IEEE Transactions on Wireless Communications.

[10]  Robert W. Heath,et al.  Analysis of Blockage Effects on Urban Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[11]  Robert W. Heath,et al.  Initial Beam Association in Millimeter Wave Cellular Systems: Analysis and Design Insights , 2016, IEEE Transactions on Wireless Communications.

[12]  Robert W. Heath,et al.  Coverage and Rate Analysis for Millimeter-Wave Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

[13]  Jeffrey G. Andrews,et al.  A Comparison of MIMO Techniques in Downlink Millimeter Wave Cellular Networks With Hybrid Beamforming , 2015, IEEE Transactions on Communications.