Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks

We propose a unified static framework to study the interplay of user association and resource allocation in heterogeneous cellular networks. This framework allows us to compare the performance of three channel allocation strategies: Orthogonal deployment, Co-channel deployment, and Partially Shared deployment. We have formulated joint optimization problems that are non-convex integer programs, are NP-hard, and hence it is difficult to efficiently obtain exact solutions. We have, therefore, developed techniques to obtain upper bounds on the system's performance. We show that these upper bounds are tight by comparing them to feasible solutions. We have used these upper bounds as benchmarks to quantify how well different user association rules and resource allocation schemes perform. Our numerical results indicate that significant gains in throughput are achievable for heterogeneous networks if the right combination of user association and resource allocation is used. Noting the significant impact of the association rule on the performance, we propose a simple association rule that performs much better than all existing user association rules.

[1]  Zaher Dawy,et al.  A Framework for Uplink Intercell Interference Modeling with Channel-Based Scheduling , 2012, IEEE Transactions on Wireless Communications.

[2]  Hsuan-Jung Su,et al.  LTE-Advanced heterogeneous networks: Release 10 and beyond , 2012, 2012 IEEE International Conference on Communications (ICC).

[3]  Catherine Rosenberg,et al.  Joint channel allocation and user association for heterogeneous wireless cellular networks , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[4]  David López-Pérez,et al.  Inter-Cell Interference Coordination for Expanded Region Picocells in Heterogeneous Networks , 2011, 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN).

[5]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[6]  Hervé Rivano,et al.  Optimization method for the joint allocation of modulation schemes, coding rates, resource blocks and power in self-organizing LTE networks , 2011, 2011 Proceedings IEEE INFOCOM.

[7]  Runhua Chen,et al.  From homogeneous to heterogeneous networks: A 3GPP Long Term Evolution rel. 8/9 case study , 2011, 2011 45th Annual Conference on Information Sciences and Systems.

[8]  Ashwin Sampath,et al.  Cell Association and Interference Coordination in Heterogeneous LTE-A Cellular Networks , 2010, IEEE Journal on Selected Areas in Communications.

[9]  Zesong Fei,et al.  Heterogeneous network in LTE-advanced system , 2010, 2010 IEEE International Conference on Communication Systems.

[10]  Dongkai Yang,et al.  A novel cell selection method in heterogeneous LTE-advanced systems , 2010, 2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT).

[11]  Markus Rupp,et al.  Simulating the Long Term Evolution physical layer , 2009, 2009 17th European Signal Processing Conference.

[12]  Yang Richard Yang,et al.  Proportional Fairness in Multi-Rate Wireless LANs , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[13]  Ramachandran Ramjee,et al.  Generalized Proportional Fair Scheduling in Third Generation Wireless Data Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[14]  Andreas F. Molisch,et al.  Wireless Communications , 2005 .

[15]  Inkyu Lee,et al.  Zero-Forcing Beamforming in Multiuser MISO Downlink Systems Under Per-Antenna Power Constraint and Equal-Rate Metric , 2013, IEEE Transactions on Wireless Communications.