Analyzing the effect of power control algorithms on the receiver's computing resource consumption

Abstract

Traditional Software-Defined Radios are limited in their ability to share the computational infrastructure between different channel flows of different demands. Future terminals should move to a shared resource model to further improve resource utilization and link availability. For this purpose, an accurate characterization and prediction of the consumed resources by a new user entering the cell is important. At the receiver side, iterative channel decoding algorithms, which exhibit the highest contribution of processing time and energy consumption, consume resources as a function of the signal quality. Therefore, power control has an impact on the computing resources of the receiver. This paper presents a model to characterize the available computing resources of a receiver. This model may be useful for utility-based power control algorithms.