On Optimal Relay Placement and Sleep Control to Improve Energy Efficiency in Cellular Networks

We consider the joint optimization of relay station (RS) placement and RS sleep/active probability to enhance the energy efficiency of a one-dimensional cellular network. When the RSs are always active, conditions for optimal RS placement that minimizes transmission power are derived, based on which closed-form solution is obtained with path-loss exponent being two, and a simple numerical method for general values of path-loss exponent is proposed. When the circuit power consumption of active RSs is considered, RSs should enter sleep mode appropriately to save power. An algorithm based on projected Newton method is proposed to jointly optimize the RS placement and sleep/active probability. It is shown via numerical examples that the benefit of implementing RSs and optimizing RS placement is substantial and increases with the path-loss exponent. We also justify the interaction between RS placement and RS sleep control, which is effectively tackled by the proposed algorithm to minimize the total power consumption.

[1]  D. Bertsekas Projected Newton methods for optimization problems with simple constraints , 1981, CDC 1981.

[2]  Lawrence Wai-Choong Wong,et al.  Teletraffic performance of highway microcells with overlay macrocell , 1989, IEEE J. Sel. Areas Commun..

[3]  J. Spall Adaptive stochastic approximation by the simultaneous perturbation method , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[4]  James C. Spall,et al.  Adaptive stochastic approximation by the simultaneous perturbation method , 2000, IEEE Trans. Autom. Control..

[5]  Chen-Nee Chuah,et al.  Energy-aware node placement in wireless sensor networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[6]  Y.T. Hou,et al.  On energy provisioning and relay node placement for wireless sensor networks , 2005, IEEE Transactions on Wireless Communications.

[7]  Andrea J. Goldsmith,et al.  Energy-constrained modulation optimization , 2005, IEEE Transactions on Wireless Communications.

[8]  Laurence B. Milstein,et al.  An algorithm for wireless relay placement , 2009, IEEE Transactions on Wireless Communications.

[9]  L. Chiaraviglio,et al.  Optimal Energy Savings in Cellular Access Networks , 2009, 2009 IEEE International Conference on Communications Workshops.

[10]  Chandrasekharan Raman,et al.  Power savings from half-duplex relaying in downlink cellular systems , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[11]  Zhisheng Niu,et al.  Energy Saving Performance Comparison of Coordinated Multi-Point Transmission and Wireless Relaying , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[12]  Gustavo de Veciana,et al.  Leveraging Dynamic Spare Capacity in Wireless Systems to Conserve Mobile Terminals' Energy , 2010, IEEE/ACM Transactions on Networking.

[13]  Anuj Vasishta,et al.  Optimal Relay Station Placement in Broadband Wireless Access Networks , 2012 .