A utility-based self-configuration scheme for macro-small cellular systems

A heterogeneous macro-small cellular network architecture where some small cells are deployed within the coverage of a macrocell is widely considered a promising and practical solution for future 5G wireless communication network. More and more small-cell base stations (SBSs) are deployed in the LTE-A macrocell system to achieve a higher data rate and a better spectrum efficiency. As there could be a large number of SBSs which may together consume a considerable amount of energy, it becomes an important issue to appropriately manage these SBSs for power saving, i.e., to reach a better energy efficiency, upon achieving a certain spectrum efficiency. In this paper, we propose a utility-based self-configuration (USC) scheme in a macro-small cellular system to improve both the spectrum and the energy efficiencies. By the USC scheme, SBSs will adequately switch their operation modes based on a utility function considering both the SBSs' statuses and user equipment's (UE) information. Simulation results show that the proposed USC scheme can achieve better system performances in terms of system throughput and system energy efficiency than a representative SBS power saving scheme in the literature, namely, traffic-aware power saving (TAPS) scheme, and the conventional scheme that all SBSs operate without power saving management.

[1]  Gerhard Fettweis,et al.  Small-Cell Self-Organizing Wireless Networks , 2014, Proceedings of the IEEE.

[2]  Federico Boccardi,et al.  SLEEP mode techniques for small cell deployments , 2011, IEEE Communications Magazine.

[3]  Holger Claussen,et al.  Leveraging advances in mobile broadband technology to improve environmental sustainability , 2009 .

[4]  Hyundong Shin,et al.  Energy Efficient Heterogeneous Cellular Networks , 2013, IEEE Journal on Selected Areas in Communications.

[5]  Geoffrey Ye Li,et al.  Fundamental trade-offs on green wireless networks , 2011, IEEE Communications Magazine.

[6]  Chung-Ju Chang,et al.  TAPS: Traffic-Aware Power Saving Scheme for Clustered Small Cell Base Stations in LTE-A , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[7]  Dong-Ho Cho,et al.  Collaborative Resource Allocation for Self-Healing in Self-Organizing Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[8]  Zhu Han,et al.  Self-Organization in Small Cell Networks: A Reinforcement Learning Approach , 2013, IEEE Transactions on Wireless Communications.

[9]  Jeffrey G. Andrews,et al.  Femtocells: Past, Present, and Future , 2012, IEEE Journal on Selected Areas in Communications.

[10]  Rouzbeh Razavi,et al.  Urban small cell deployments: Impact on the network energy consumption , 2012, 2012 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[11]  Tony Q. S. Quek,et al.  Enhanced intercell interference coordination challenges in heterogeneous networks , 2011, IEEE Wireless Communications.

[12]  Mehdi Bennis,et al.  Distributed Learning Strategies for Interference Mitigation in Femtocell Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.