The global optimization for three layers of grid stack can be decomposed into three sub-problems at different grid layers: resource allocation at the fabric layer, service integration at the collective layer, and application QoS optimization problem at the application layer.
Moreover, we proposed the ant colony optimization (ACO) algorithm for efficient resource allocation in infrastructure layer.
We relate this so-called flow-level modeling to the lower layer resource allocation mechanisms in a cross-layer manner.
For example, quality of video streaming application is best measured at higher layers, while this quality is affected by resource allocation within lower layers.
At the packet level, the resource dispenser in BS takes SS as the basic unit to perform resource allocation through cross-layer design idea, which considers both the "QoS rate" constraints in the MAC layer and the channel conditions in the PHY layer.
All these approaches handle packet scheduling and resource allocation in the MAC layer, while PHY layer performs beamforming and achieves multiuser diversity gain.
Leonidas Georgiadia et al. [21] made a survey of threats and possible solutions for resource allocation and cross-layer control in wireless networks.
The approach proposed for IEEE 802.11e HCCA WLAN in [48] consists of admission control and resource allocation at the MAC layer and video adaptation at the application layer.
Findings of [1] over a real WMN and many similar studies motivated us to propose a fair resource allocation mechanism in transport layer over WMN despite an unfair MAC layer.
Routing traffic over the WMN and scheduling concurrent transmissions on the different wireless links should consider the channel assignment and the interference level of the links that are affected by the resource allocation at the physical layer.
With the above MAC-layer information and the detected subcarriers' channel gains, in the physical (PHY) layer, a modified Kuhn-Munkres algorithm is developed to minimize the system power for a certain subcarrier allocation, then a PHY-layer resource allocation scheme is proposed to optimally allocate the subcarriers under the system signal-to-noise ratio (SNR) and power constraints.
