Energy-efficient coordinated user scheduling and power control in downlink multi-cell OFDMA networks

This paper considers the problem of energy-efficient communication in the downlink of a cellular OFDMA network. User scheduling and power allocation are jointly optimized across a cluster of coordinated base stations so as to maximize the weighted sum of the energy efficiencies on the available resource slots under a per-subcarrier power constraint. The asymptotic noise-limited regime is also discussed as a special case. Numerical results show that there is a wide range of operating regimes where a moderate reduction of the data rate can provide a large saving in terms of dissipated energy.

[1]  Xiaodong Wang,et al.  Coordinated Scheduling and Power Allocation in Downlink Multicell OFDMA Networks , 2009, IEEE Transactions on Vehicular Technology.

[2]  David Gesbert,et al.  Optimal and Distributed Scheduling for Multicell Capacity Maximization , 2008, IEEE Transactions on Wireless Communications.

[3]  S. Buzzi,et al.  Noncooperative waveform adaptation games in multiuser wireless communications , 2009, IEEE Signal Processing Magazine.

[4]  Wei Yu.  Multiuser Water-filling in the Presence of Crosstalk , 2007, 2007 Information Theory and Applications Workshop.

[5]  Honghai Zhang,et al.  Weighted Sum-Rate Maximization in Multi-Cell Networks via Coordinated Scheduling and Discrete Power Control , 2011, IEEE Journal on Selected Areas in Communications.

[6]  David Gesbert,et al.  Binary Power Control for Sum Rate Maximization over Multiple Interfering Links , 2008, IEEE Transactions on Wireless Communications.

[7]  Eduard A. Jorswieck,et al.  Energy-Aware Competitive Power Control in Relay-Assisted Interference Wireless Networks , 2013, IEEE Transactions on Wireless Communications.

[8]  Cem U. Saraydar,et al.  Pricing and power control in a multicell wireless data network , 2001, IEEE J. Sel. Areas Commun..

[9]  H. Vincent Poor,et al.  Transmitter Waveform and Widely Linear Receiver Design: Noncooperative Games for Wireless Multiple-Access Networks , 2010, IEEE Transactions on Information Theory.

[10]  H. Vincent Poor,et al.  Energy Efficient Communications in CDMA Networks: A Game Theoretic Analysis Considering Operating Costs , 2006, IEEE Transactions on Signal Processing.

[11]  David Gesbert,et al.  Adaptation, Coordination, and Distributed Resource Allocation in Interference-Limited Wireless Networks , 2007, Proceedings of the IEEE.

[12]  Samson Lasaulce,et al.  Energy-Efficient Precoding for Multiple-Antenna Terminals , 2010, IEEE Transactions on Signal Processing.

[13]  Harish Viswanathan,et al.  Dynamic load balancing through coordinated scheduling in packet data systems , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[14]  Gerhard Fettweis,et al.  Power consumption modeling of different base station types in heterogeneous cellular networks , 2010, 2010 Future Network & Mobile Summit.

[15]  Derrick Wing Kwan Ng,et al.  Energy-Efficient Resource Allocation in Multi-Cell OFDMA Systems with Limited Backhaul Capacity , 2012, IEEE Trans. Wirel. Commun..

[16]  Giulio Colavolpe,et al.  Potential Games for Energy-Efficient Power Control and Subcarrier Allocation in Uplink Multicell OFDMA Systems , 2012, IEEE Journal of Selected Topics in Signal Processing.

[17]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[18]  Gerhard Fettweis,et al.  Framework for Link-Level Energy Efficiency Optimization with Informed Transmitter , 2011, IEEE Transactions on Wireless Communications.

[19]  Mordecai Avriel,et al.  Nonlinear programming , 1976 .

[20]  Matti Latva-aho,et al.  Weighted Sum-Rate Maximization in Wireless Networks: A Review , 2012, Found. Trends Netw..

[21]  David J. Goodman,et al.  Power control for wireless data , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).