Quality-of-Service Driven Power and Rate Adaptation over Wireless Links

摘要: We propose a quality-of-service (QoS) driven power and rate adaptation scheme over wireless links in mobile networks. Specifically, our proposed aims at maximizing the system throughput subject to given delay QoS constraint. First, we derive an optimal policy by integrating information theory with concept of effective capacity for block fading channel model. Our analyses reveal important fact that there exists fundamental tradeoff between provisioning. In particular, when constraint becomes loose, power-control converges well-known water-filling scheme, where Shannon (ergodic) can be achieved. On other hand, gets stringent, total inversion under which operates constant rate. Inspired above observations, then consider more practical scenario variable-power adaptive modulation is employed both Markov correlated channels. cases, associated policies. The obtained results suggest correlation has significant impact on QoS-driven adaptations. higher is, faster stringent. Finally, conduct simulations verify models also applied general models.