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Tradeoff Analysis and Joint Optimization of Link-Layer Energy Efficiency and Effective Capacity Toward Green Communications

机译:链路层能效和有效容量对绿色通信的权衡分析和联合优化

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摘要

A joint optimization problem of link-layer energy efficiency (EE) and effective capacity (EC) in a Nakagami- fading channel under a delay-outage probability constraint and an average transmit power constraint is considered and investigated in this paper. First, a normalized multi-objective optimization problem (MOP) is formulated and transformed into a single-objective optimization problem (SOP), by applying the weighted sum method. The formulated SOP is then proved to be continuously differentiable and strictly quasiconvex in the optimum average input power, which turns out to be a cup shape curve. Furthermore, the weighted quasiconvex tradeoff problem is solved by first using Charnes–Cooper transformation and then applying Karush–Kuhn–Tucker (KKT) conditions. The proposed optimal power allocation, which includes the optimal strategy for the link-layer EE-maximization problem and the EC-maximization problem as extreme cases, is proved to be sufficient for the Pareto optimal set of the original EE–EC MOP. Moreover, we prove that 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.
机译:本文考虑并研究了中延衰落信道在延迟中断概率约束和平均发射功率约束下的链路层能量效率(EE)和有效容量(EC)的联合优化问题。首先,通过应用加权和方法,制定了归一化的多目标优化问题(MOP)并将其转换为单目标优化问题(SOP)。然后证明了配制的SOP是连续可微的,并且在最佳平均输入功率上严格准凸,结果证明是杯形曲线。此外,首先通过使用Charnes-Cooper变换然后应用Karush-Kuhn-Tucker(KKT)条件来解决加权拟凸折衷问题。所提出的最佳功率分配包括极端情况下的链路层EE最大化问题和EC最大化问题的最优策略,被证明足以满足原始EE–EC MOP的帕累托最优集。此外,我们证明最佳平均功率水平随重要性权重单调降低,但随归一化因子,电路功率和功率放大器效率而严格提高。仿真结果证实了分析结果,并进一步表明了衰落强度和发射功率极限对折衷性能的影响。

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