Maximizing effective capacity over wireless links under average and peak power constraints

We propose the quality-of-service (QoS) driven power allocation scheme for wireless links under average and peak power constraints. By integrating information theory with the principle of effective capacity, our proposed scheme aims at maximizing the system throughput subject to a given delay-QoS constraint. Over the block fading channel, we derive the optimal power allocation scheme to maximize the effective capacity. The analyses and numerical results show that our optimal power allocation scheme converges to the despicking water-filling scheme when the QoS constraint becomes very loose. On the other hand, our optimal power allocation scheme reduces to the dispicking channel inversion scheme when the QoS constraint gets very stringent. Two non-optimal power allocation schemes are described for comparison purposes. We also propose and evaluate the independent optimization for the multicarrier system.