Re-thinking polynomial optimization: Efficient programming of reconfigurable radio frequency (RF) systems by convexification

Reconfigurable radio frequency (RF) system has emerged as a promising avenue to achieve high communication performance while adapting to versatile commercial wireless environment. In this paper, we propose a novel technique to optimally program a reconfigurable RF system in order to achieve maximum performance and/or minimum power. Our key idea is to adopt an equation-based optimization method that relies on generalpurpose, non-convex polynomial performance models to determine the optimal configurations of all tunable circuit blocks. Most importantly, our proposed approach guarantees to find the globally optimal solution of the non-convex polynomial programming problem by solving a sequence of convex semidefinite programming (SDP) problems based on convexification. A reconfigurable RF front-end example designed for WLAN 802.11g demonstrates that the proposed method successfully finds the globally optimal configuration, while other traditional techniques often converge to local optima....

• Type: Journal
• Year: 2016
• Where: ASPDAC
• Authors: Fa Wang, Shihui Yin, Minhee Jun, Xin Li 0001, Tamal Mukherjee, Rohit Negi, Larry T. Pileggi
• Keywords: ASPDAC 2016, Hardware