In this paper, we solve a problem of interference and distortion minimization as a joint optimization problem in energy harvesting wireless sensor networks with resource allocation constraints. The problem is initially cast as a non-convex problem involving a quadratic sum of ratios. We then transform the problem into convex posed as a sum of difference problem. Further, a solution is obtained via a modified Newton’s method. Numerical simulations for the proposed strategy are conducted, and the parameters analyzed include error variance and energy available for harvesting. The results corroborate the effectiveness of the proposed strategy even with channel estimation errors.
V. G., Dr. Ramanathan R., and Dr. Jayakumar M., “Convex Optimization Approach to Joint Interference and Distortion Minimization in Energy Harvesting Wireless Sensor Networks”, Arabian Journal for Science and Engineering, Springer Publishers, vol. 45, no. 3, pp. 1669 - 1684, 2020.