Resource Efficiency: A New Paradigm on Energy Efficiency and Spectral Efficiency Tradeoff
Resource Efficiency: A New Paradigm on Energy Efficiency and Spectral Efficiency Tradeoff
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DOI：
10.1109/twc.2014.2316791
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发表时间：
2014-08-01
影响因子：
10.4
通讯作者：
Hamdi, Khairi Ashour
中科院分区：
文献类型：
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作者：
Tang, Jie;So, Daniel K. C.;Hamdi, Khairi Ashour
频谱效率（SE）和能量效率（EE）是无线网络设计的主要指标。近期的研究工作并非单独关注频谱效率或能量效率，而是聚焦于能量效率和频谱效率之间的关系，并对联合的能量效率 - 频谱效率权衡提供了深刻见解。然而，这类研究工作假定带宽无论传输需求如何都被完全占用，因此仅对这类场景有效。在本文中，我们为能量效率 - 频谱效率权衡提出了一种新范式，即正交频分多址（OFDMA）蜂窝网络的资源效率（RE），其中我们考虑了不同的传输带宽需求。我们分析了所提出的资源效率的特性，并证明它能够通过平衡功耗和占用带宽来利用能量效率和频谱效率之间的权衡；从而同时优化能量效率和频谱效率。然后，我们制定了具有保证服务质量（QoS）的广义资源效率优化问题，并提供了一种基于梯度的最优功率适配方案来解决它。我们还提供了一种接近最优的上限方法来联合解决该优化问题。此外，还提出了一种基于均匀功率分配方案的低复杂度次优算法以降低复杂度。数值结果证实了分析结果，并展示了所提出的资源分配方案对于高效资源利用的有效性。
Spectral efficiency (SE) and energy efficiency (EE) are the main metrics for designing wireless networks. Rather than focusing on either SE or EE separately, recent works have focused on the relationship between EE and SE and provided good insight into the joint EE-SE tradeoff. However, such works have assumed that the bandwidth was fully occupied regardless of the transmission requirements and therefore are only valid for this type of scenario. In this paper, we propose a new paradigm for EE-SE tradeoff, namely the resource efficiency (RE) for orthogonal frequency division multiple access (OFDMA) cellular network in which we take into consideration different transmission-bandwidth requirements. We analyse the properties of the proposed RE and prove that it is capable of exploiting the tradeoff between EE and SE by balancing consumption power and occupied bandwidth; hence simultaneously optimizing both EE and SE. We then formulate the generalized RE optimization problem with guaranteed quality of service (QoS) and provide a gradient based optimal power adaptation scheme to solve it. We also provide an upper bound near optimal method to jointly solve the optimization problem. Furthermore, a low-complexity suboptimal algorithm based on a uniform power allocation scheme is proposed to reduce the complexity. Numerical results confirm the analytical findings and demonstrate the effectiveness of the proposed resource allocation schemes for efficient resource usage.