面向完全协调的多级多载波节能网络
Toward Fully Coordinated Multi-level Multi-carrier Energy Efficient Networks
摘要：
使来自不同供应商的产品之间能够协调是未来无线通信网络背后的设计理念的关键特征。作为示例，不同的设备可以具有不同的实现，从而导致不同的用户体验。当运行不同物理和链路层协议的设备共享同一频谱中的频率以最大化系统范围的频谱效率时，也会出现类似的情况。在这种情况下，协调多个干扰设备不仅从互通的角度（由于基础设施减少）而且从实现的角度来看都提出了重大挑战。然后自然会出现以下问题：如何适应无缝集成这种异构无线设备？一种方法是以集中的方式协调频谱。然而，未来无线系统所期望的自主特征使得使用中央机构进行频谱管理的吸引力降低。另一方面，智能频谱协调近年来引起了极大的兴趣和兴奋。本文提出了一种多层次的功率控制游戏，用户共同选择他们的信道控制和功率控制自私，以最大限度地提高他们的个人能源效率。所谓分层，我们的意思是一些用户的决策优先级高于/低于其他用户。我们提出了两个简单的和接近最优的算法，确保用户之间的完整的频谱协调。有趣的是，事实证明，在最坏的情况下，这两个算法的复杂度是用户数量的二次，而最优解（通过穷举搜索获得）的复杂度是N！
英文摘要：
Enabling coordination between products from different vendors is a key characteristic of the design philosophy behind future wireless communication networks. As an example, different devices may have different implementations, leading to different user experiences. A similar story emerges when devices running different physical and link layer protocols share frequencies in the same spectrum in order to maximize the system-wide spectral efficiency. In such situations, coordinating multiple interfering devices presents a significant challenge not only from an interworking perspective (as a result of reduced infrastructure), but also from an implementation point of view. The following question may then naturally arise: How to accommodate integrating such heterogeneous wireless devices seamlessly? One approach is to coordinate the spectrum in a centralized manner. However, the desired autonomous feature of future wireless systems makes the use of a central authority for spectrum management less appealing. Alternately, intelligent spectrum coordination have spurred great interest and excitement in the recent years. This paper presents a multi-level (hierarchical) power control game where users jointly choose their channel control and power control selfishly in order to maximize their individual energy efficiency. By hierarchical, we mean that some users' decision priority is higher/lower than the others. We propose two simple and nearly-optimal algorithms that ensure complete spectrum coordination among users. Interestingly, it turns out that the complexity of the two proposed algorithms is, in the worst case, quadratic in the number of users, whereas the complexity of the optimal solution (obtained through exhaustive search) is N!.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
