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Throughput and energy efficiency in fading channels are studied in thepresence of randomly arriving data and statistical queueing constraints. Inparticular, Markovian arrival models including discrete-time Markov, Markovfluid, and Markov-modulated Poisson sources are considered. Employing theeffective bandwidth of time-varying sources and effective capacity oftime-varying wireless transmissions, maximum average arrival rates in thepresence of statistical queueing constraints are characterized. For thetwo-state (ON/OFF) source models, throughput is determined in closed-form as afunction of the source statistics, channel characteristics, and quality ofservice (QoS) constraints. Throughput is further studied in certain asymptoticregimes. Furthermore, energy efficiency is analyzed by determining the minimumenergy per bit and wideband slope in the low signal-to-noise ratio (SNR)regime. Overall, the impact of source characteristics, QoS requirements, andchannel fading correlations on the throughput and energy efficiency of wirelesssystems is identified.

Wireless Throughput and Energy Efficiency with Random Arrivals and Statistical Queueing Constraints