A cross-layer scheduling scheme for wireless multimedia transmissions with adaptive modulation and coding

Author(s):  
Hui Chen ◽  
Henry C. B. Chany ◽  
Victor C. M. Leung
2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Manikandan Arunachalam ◽  
Balasubadra Kandasamy

Scheduling with admission control is proposed based on the integration of the parameters of physical layer and MAC layer called cross-layer design. To achieve the throughput, resource allocation is carried out based on the adaptive modulation and coding (AMC) in the physical layer and scheduling in MAC layer with rate adaptation. When link adaptation is applied, the total energy consumed will be reduced, which will lead to the optimization. Here the physical layer and MAC layer parameters are jointly analyzed to achieve the cross-layer integration for the proposed problem. Based on this cross-layer integration the packet delay and throughput of the multiuser system are analyzed. All the simulations were carried out in 3G simulation environment like Qualnet and Network Simulator and results were presented.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Dongyul Lee ◽  
Chaewoo Lee

The advancement in wideband wireless network supports real time services such as IPTV and live video streaming. However, because of the sharing nature of the wireless medium, efficient resource allocation has been studied to achieve a high level of acceptability and proliferation of wireless multimedia. Scalable video coding (SVC) with adaptive modulation and coding (AMC) provides an excellent solution for wireless video streaming. By assigning different modulation and coding schemes (MCSs) to video layers, SVC can provide good video quality to users in good channel conditions and also basic video quality to users in bad channel conditions. For optimal resource allocation, a key issue in applying SVC in the wireless multicast service is how to assign MCSs and the time resources to each SVC layer in the heterogeneous channel condition. We formulate this problem with integer linear programming (ILP) and provide numerical results to show the performance under 802.16 m environment. The result shows that our methodology enhances the overall system throughput compared to an existing algorithm.


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