Energy-efficient radio resource allocation for dual-hop relay-assisted orthogonal frequency division multiple access systems with quality of service provisioning,Transactions on Emerging Telecommunications Technologies

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Energy-efficient radio resource allocation for dual-hop relay-assisted orthogonal frequency division multiple access systems with quality of service provisioning
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2021-05-12 , DOI: 10.1002/ett.4293
Juno Vitorino Saraiva _{1,

2} , Francisco Rafael Marques Lima _{1,

3} , Alexandre Matos Pessoa _{1,

2} , Tarcisio Ferreira Maciel _{1,

2} , Walter da Cruz Freitas Junior _{1,

2} , Francisco Rodrigo Porto Cavalcanti _{1,

2}

Affiliation

Besides the conventional spectral efficiency metric, energy efficiency (EE) has been adopted as one of the new mandatory performance metrics for green future mobile networks. In this sense, in this article we study energy-efficient radio resource allocation for dual-hop orthogonal frequency division multiple access relay networks considering multiple relays and users. Resource allocation in our scenario is comprised of relay selection, subcarrier pairing, subcarrier assignment, and transmit power allocation. Particularly, in the context of EE with quality of service constraints, three different problems, namely, power consumption minimization, global EE maximization, and minimum individual EE maximization are addressed. For tackling them, first, we demonstrate a property that exploits the use of the decode and forward protocol employed in the relays and we show how it can be applied to simplify the investigated problems. Although some of these problems are nonconvex due to the fractional objective functions and integer optimization domain, optimal solutions are provided using generalized fractional programming theory to transform the fractional objective functions to the subtractive forms. Then, by employing Dinkelbach or bisection methods, we propose iterative algorithms where a parametric problem is solved in each iteration until reaching convergence. By introducing a penalty function to handle integer variables and applying majorization-minimization approach, we make the parametric problem convex and we propose suboptimal iterative solutions with reduced computational cost. Regarding obtained simulation results, we discuss the performance of the involved solutions in terms of global EE and fairness with respect to different parameters of the system.

中文翻译：

具有服务质量提供的双跳中继辅助正交频分多址系统的节能无线电资源分配

除了传统的频谱效率指标外，能源效率 (EE) 已被用作绿色未来移动网络的新强制性性能指标之一。从这个意义上说，在本文中，我们研究了考虑多个中继和用户的双跳正交频分多址中继网络的节能无线电资源分配。我们场景中的资源分配包括中继选择、副载波配对、副载波分配和发射功率分配。特别是，在具有服务质量约束的 EE 背景下，解决了三个不同的问题，即功耗最小化、全局 EE 最大化和最小个体 EE 最大化。为了解决它们，首先，我们展示了一种利用中继中使用的解码和转发协议的特性，并展示了如何应用它来简化所研究的问题。尽管由于分数目标函数和整数优化域，这些问题中的一些是非凸的，但是使用广义分数规划理论将分数目标函数转换为减法形式来提供最优解。然后，通过采用 Dinkelbach 或二分法，我们提出了迭代算法，其中在每次迭代中解决参数问题，直到达到收敛。通过引入惩罚函数来处理整数变量并应用主最小化方法，我们使参数问题成为凸的，并且我们提出了具有降低计算成本的次优迭代解决方案。

更新日期：2021-05-12

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