Interference-Aware Energy-Efficient Power Optimization ∗ Guowang Miao †,♭ , Nageen Himayat †† , Geoffrey Ye Li † , Ali T. Koc †† , and Shilpa Talwar †† † School of ECE, Georgia Institute of Technology †† Communications Technology Lab., Intel Corporation Abstract Since battery technology has not kept up with the demand for battery capacity on mobile devices, power optimization techniques are becoming increasingly important in wireless system design. Power optimization schemes are critical to interference management in wireless systems as interference usually results from aggressive spectral reuse and high power transmission and severely limits system performance. In this paper, we develop energy-efficient power optimization schemes for interference-limited communications. We consider both circuit and transmit powers and focus on energy efficiency over throughput. Because power optimization problem in the presence of interference is intractable, we first study a simple two-user network with ideal user cooperation and then develop a noncooperative game for energy-efficient power optimization. We further study the existence and uniqueness of equilibrium for the noncooperative power optimization. Then we study the tradeoff between energy efficiency and spectral efficiency and show by simulation results that the proposed scheme improves not only energy efficiency but also spectral efficiency in an interference-limited cellular network. Index Terms interference, energy efficiency, power optimization, OFDM, noncooperative power control ∗ This work was supported by Intel Corp. and the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-20-0011. ♭ Corresponding author. Email: gmiao3@gatech.edu. Address: School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, 30332–0250