Joint Optimization of Wireless Communication and Networked Control Systems

Abstract. We consider a linear system, such as an estimator or a controller, in which several signals are transmitted over wireless communication channels. With the coding and medium access schemes of the communication system fixed, the achievable bit rates are determined by the allocation of communications resources such as transmit powers and bandwidths, to different channels. Assuming conventional uniform quantization and a standard white-noise model for quantization errors, we consider two specific problems. In the first, we assume that the linear system is fixed and address the problem of allocating communication resources to optimize system performance. We observe that this problem is often convex (at least, when we ignore the constraint that individual quantizers have an integral number of bits), hence readily solved. We describe a dual decomposition method for solving these problems that exploits the problem structure. We briefly describe how the integer bit constraints c...

• Type: Conference
• Year: 2003
• Where: ESSMAC
• Authors: Lin Xiao, Mikael Johansson, Haitham A. Hindi, Stephen P. Boyd, Andrea J. Goldsmith
• Keywords: Communication, Communication Resources, ESSMAC 2003, Linear System, Machine Learning