Impact of channel and source variations on the energy efficiency under QoS constraints

Abstract

Energy efficiency in wireless fading channels is studied in the presence of statistical quality of service (QoS) constraints. Energy per bit is employed as the performance metric. Minimum energy per bit and wideband slope expressions are determined to quantify the energy efficiency in the low signal-to-noise ratio (SNR) regime. In particular, the impact of channel and source variations is investigated. A block-fading model in which fading coefficients are arbitrarily correlated in one block before assuming independent realizations in the next one, is considered. Initially, the effect of fading correlation on energy efficiency is analyzed. It is shown that while minimum energy per bit does not depend on the fading correlation, wideband slope decreases as positive correlation increases, resulting in increased energy requirements at low but nonzero SNR levels. Subsequently, an ON-OFF source arrival model is considered. It is shown that while the minimum energy per bit does not get affected by source variations, wideband slope diminishes with increasing source burstiness. (”THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD”).