Radio Resource Management in CDMA Networks

Katerina Papadaki, Vasilis Friderikos

Abstract: The chapter opens by noting the rapid recent growth in wireless communications, which has enabled ubiquitous services across user locations and mobility patterns. It then surveys various resource management strategies for wireless cellular networks based on Code Division Multiple Access (CDMA). The optimization problems formulated all aim at the efficient use of two scarce radio resources: power and transmission rate. Because real systems only support discrete transmission rates, these problems are inherently discrete in their decision variables, and they are also non-linear in nature. The authors examine both single-period and multi-period formulations, covering both power-minimization and throughput-maximization objectives. The chapter then introduces a new approach to solving these CDMA resource management problems, formulating them as dynamic programs and applying a linear approximate dynamic programming algorithm that produces estimates of the optimal allocation policies in real time. The proposed method is benchmarked against baseline heuristics and shown to deliver substantially better utilization of the radio network resources.