Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
Energy Efficient OFDMA Networks Maintaining Statistical QoS Guarantees for Delay-Sensitive Traffic
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DOI：
10.1109/access.2016.2530688
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发表时间：
2016-01-01
期刊：
影响因子：
3.9
通讯作者：
Hanzo, Lajos
中科院分区：
文献类型：
--
作者：
Abrao, Taufik;Hiera Sampaio, Lucas Dias;Hanzo, Lajos
针对下行正交频分多址网络中时延敏感业务，提出了一种在特定统计服务质量（QoS）保证下的节能设计方案.这种设计是基于吴的有效容量（EC）的概念，其特点是在数据链路层的统计延迟QoS要求的系统的最大吞吐量。在考虑的特定背景下，我们的主要贡献包括量化的有效能源效率（EQUIPMENT）与EC权衡和表征延迟敏感的流量作为QoS指数θ的函数，表示延迟QoS违反概率的指数衰减率。利用分式规划的性质，利用Dinkelbach方法将原拟凹分式规划问题转化为减法优化问题.因此，一个迭代的内外循环为基础的资源分配算法被认为是有效地解决转换的最优化问题。我们的仿真结果表明，所提出的计划收敛在几个Dinkelbach算法的迭代所需的解决方案的精度。此外，还用数字表征了电路功率、QoS指数和功率放大器低效率的影响。这些结果表明，最佳分配的功率最大化的功率衰减的电路功率和QoS指数的指数，而线性衰减的功率放大器的效率低下。
An energy-efficient design is proposed under specific statistical quality-of-service (QoS) guarantees for delay-sensitive traffic in the downlink orthogonal frequency-division multiple-access networks. This design is based on Wu's effective capacity (EC) concept, which characterizes the maximum throughput of a system subject to statistical delay-QoS requirements at the data-link layer. In the particular context considered, our main contributions consist of quantifying the effective energy-efficiency (EEE)versus-EC tradeoff and characterizing the delay-sensitive traffic as a function of the QoS-exponent theta, which expresses the exponential decay rate of the delay-QoS violation probabilities. Upon exploiting the properties of fractional programming, the originally quasi-concave EEE optimization problem having a fractional form is transformed into a subtractive optimization problem by applying Dinkelbach's method. As a result, an iterative inner outer loop-based resource allocation algorithm is conceived for efficiently solving the transformed EEE optimization problem. Our simulation results demonstrate that the proposed scheme converges within a few Dinkelbach algorithm's iterations to the desired solution accuracy. Furthermore, the impact of the circuitry power, the QoS-exponent, and the power amplifier inefficiency is characterized numerically. These results reveal that the optimally allocated power maximizing the EEE decays exponentially with respect to both the circuitry power and the QoS-exponent, while decaying linearly with respect to the power amplifier inefficiency.