Recently, the interest of the telecommunication operators and Internet service providers (ISPs) in energy efficiency (EE) for wireless networks has remarkably increased. The boost in energy prices, the continuous increase of the user numbers, the pervasion of wideband access, and the diffusion of offered services have motivated this interest. The challenge is to minimize the transmitted energy without compromising the quality of service (QoS) and the network performance. In this paper, a new efficient Orthogonal Frequency Division Multiple Access (OFDMA) resource allocation for Long Term Evolution (LTE)-advanced systems based on cross-layer optimization between Physical (PHY) and Medium Access Control (MAC) layers is proposed. A new solution based on Rate Adaptive (RA) principle is presented to achieve better EE resource allocation. The purpose behind the new model is to increase the capacity of the system as much as possible while trying to decrease the total transmit power. Hence, the EE which is equal to the capacity to total transmit power ratio is increased. As reducing the transmit power for the transmission of a given capacity reduces the power consumption, the greenhouse gas (GHG) emission will be then reduced. On the other hand, the service differentiation is highly considered to provide high QoS support. The users are differentiated according to different service classes and different data rates. The proposed cross-layer-based solution has then to allocate the system resources in an optimal way while satisfying the users having high QoS requirements.

近来，电信运营商和互联网服务提供商（ISP）对无线网络的能效（EE）的兴趣显着增加。能源价格的上涨，用户数量的不断增加，宽带接入的普及以及所提供服务的普及激发了这种兴趣。面临的挑战是在不影响服务质量（QoS）和网络性能的情况下最小化传输的能量。本文提出了一种新的高效的长期频分多址（OFDMA）资源分配方法，用于基于物理（PHY）和媒体访问控制（MAC）层之间的跨层优化的高级长期演进（LTE）系统。提出了一种基于速率自适应（RA）原理的新解决方案，以实现更好的EE资源分配。新模型的目的是在试图降低总发射功率的同时，尽可能增加系统的容量。因此，等于容量与总发射功率之比的EE增加。随着降低用于给定容量传输的传输功率降低了功耗，那么温室气体（GHG）的排放将随之降低。另一方面，高度重视服务差异以提供高QoS支持。根据不同的服务类别和不同的数据速率来区分用户。然后，所提出的基于跨层的解决方案必须以最佳方式分配系统资源，同时满足具有较高QoS要求的用户。