— Adaptive modulation and antenna diversity are two important enabling techniques for future wireless network to meet demand for high data rate transmission. We study a Markov decision process based cross-layer design of optimal adaptation policy over selection-combining Nakagami-m fading channel for Markov modulated Poisson process (MMPP) traffic. Unlike most of the channel-dependent adaptation policy in the literature, proposed policy chooses modulation constellation dynamically depending on the traffic and buffer states in addition to channel state. Proposed cross-layer dynamic adaptation policy minimizes transmission power, maximizes throughput, and also guarantees target bit error rate, delay and packet overflow rate requirements for the application being considered.
Ashok K. Karmokar, Vijay K. Bhargava