研究目的
To investigate a joint optimization problem of link-layer energy efficiency (EE) and effective capacity (EC) in a Nakagami-m fading channel under a delay-outage probability constraint and an average transmit power constraint.
研究成果
The study concludes that the proposed optimal power allocation scheme is sufficient for the Pareto optimal set of the original EE-EC MOP. The optimum average power level monotonically decreases with the importance weight but strictly increases with the normalization factor, the circuit power, and the power amplifier efficiency. Simulation results confirm the analytical derivations and further show the effects of fading severeness and transmission power limit on the tradeoff performance.
研究不足
The study is limited to a Nakagami-m fading channel and does not consider other types of fading channels. The delay-outage probability constraint and average transmit power constraint may not cover all practical scenarios.
1:Experimental Design and Method Selection:
The study formulates a normalized multi-objective optimization problem (MOP) and transforms it into a single-objective optimization problem (SOP) using the weighted sum method. The SOP is proven to be continuously differentiable and strictly quasiconvex in the optimum average input power.
2:Sample Selection and Data Sources:
The study considers a point-to-point wireless communication link over a Nakagami-m flat-fading channel.
3:List of Experimental Equipment and Materials:
The study involves adaptive coding and power allocation strategy at the transmitter, using the channel-state information (CSI) fed back from the receiver, and the predetermined delay QoS requirement.
4:Experimental Procedures and Operational Workflow:
The study applies the Charnes–Cooper transformation and Karush–Kuhn–Tucker (KKT) conditions to solve the weighted quasiconvex tradeoff problem.
5:Data Analysis Methods:
The study analyzes the effects of fading severeness and transmission power limit on the tradeoff performance through simulation results.
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