Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective

The evolving fifth generation (5G) cellular wireless networks are envisioned to overcome the fundamental challenges of existing cellular networks, for example, higher data rates, excellent end-to-end performance, and user-coverage in hot-spots and crowded areas with lower latency, energy consumption, and cost per information transfer. To address these challenges, 5G systems will adopt a multi-tier architecture consisting of macrocells, different types of licensed small cells, relays, and device-to-device (D2D) networks to serve users with different quality-of-service (QoS) requirements in a spectrum and energy-efficient manner. Starting with the visions and requirements of 5G multi-tier networks, this article outlines the challenges of interference management (e.g. power control, cell association) in these networks with shared spectrum access (i.e. when the different network tiers share the same licensed spectrum). It is argued that the existing interference management schemes will not be able to address the interference management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. In this context a survey and qualitative comparison of the existing cell association and power control schemes is provided to demonstrate their limitations for interference management in 5G networks. Open challenges are highlighted and guidelines are provided to modify the existing schemes in order to overcome these limitations and make them suitable for the emerging 5G systems.

[1]  Gerard J. Foschini,et al.  A simple distributed autonomous power control algorithm and its convergence , 1993 .

[2]  Roy D. Yates,et al.  Integrated power control and base station assignment , 1995 .

[3]  Ahmad R. Sharafat,et al.  A Distributed Dynamic Target-SIR-Tracking Power Control Algorithm for Wireless Cellular Networks , 2010, IEEE Transactions on Vehicular Technology.

[4]  Ahmad R. Sharafat,et al.  Pareto and Energy-Efficient Distributed Power Control With Feasibility Check in Wireless Networks , 2011, IEEE Transactions on Information Theory.

[5]  S. Parkvall,et al.  LTE release 12 and beyond [Accepted From Open Call] , 2013, IEEE Communications Magazine.

[6]  Mehdi Rasti,et al.  Distributed Uplink Power Control with Soft Removal for Wireless Networks , 2011, IEEE Trans. Commun..

[7]  Long Bao Le,et al.  Distributed Base Station Association and Power Control for Heterogeneous Cellular Networks , 2014, IEEE Transactions on Vehicular Technology.

[8]  Jan Markendahl,et al.  EU FP7 INFSO-ICT-317669 METIS, D1.1 Scenarios, requirements and KPIs for 5G mobile and wireless system , 2013 .

[9]  Satoshi Nagata,et al.  Investigation on Cell Selection Methods Associated with Inter-cell Interference Coordination in Heterogeneous Networks for LTE-Advanced Downlink , 2011, EW.

[10]  Ismail Güvenç,et al.  Capacity and Fairness Analysis of Heterogeneous Networks with Range Expansion and Interference Coordination , 2011, IEEE Communications Letters.

[11]  Seong-Lyun Kim,et al.  A generalized algorithm for constrained power control with capability of temporary removal , 2001, IEEE Trans. Veh. Technol..

[12]  Youngnam Han,et al.  Cell selection for range expansion with almost blank subframe in heterogeneous networks , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[13]  Rui Zhang,et al.  Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff , 2012, IEEE Transactions on Communications.

[14]  Chi Wan Sung,et al.  An opportunistic power control algorithm for cellular network , 2006, IEEE/ACM Transactions on Networking.