Joint power, rate, and channel allocation in multilink (cognitive) radio system

Abstract

We consider multi-constrained power, rate and channel allocation crafted for low power consumption, delay tolerant traffic, and under interfering link conditions that may be used in a cognitive radio system. Specifically, an iterative distributed algorithm, based on a sum-power constrained sum-rate maximization with upper (and lower) per user and channel power and rate constraints, as well as upper per user sum-power and sum-rate constraints is developed. The feasibility and performance of the algorithm is demonstrated by simulation in a cellular system. Simulations show that the multiple constraints are handled while improving the sum-rate vs. sum-power relative an “equal power adaptive rate” RRM approach.