Abstract
Various cross-layer optimization schemes have been proposed for the purpose of enhancing wireless network performances. In this paper, we present an improved autonomous cross-layer optimization to fit modern heterogeneous communication networks. In our design, different Quality of Service (QoS) requirements for all sorts of information with various communication protocols are considered when making optimal transmission decisions. The modified framework achieves better system computation efficiency and adapts to various sources of different communication networks quickly while preserves the overall system performance.
Highlights
With latest technology, the wireless electronic devices are capable of handling a variety of multimedia applications, from texting to high definition voice/video streaming, to online gaming, all of which pose very high requirements on wireless networks
When designing lower layer protocols, the designers do not consider the characteristics of specific multimedia applications, whereas the designers of higher layers do not take into account of the status of lower layers
We present an improved autonomous cross-layer optimization that takes into consideration of real time switching among multiple applications with different Quality of Service (QoS) requirements when selecting optimal decision variables for each layer
Summary
The wireless electronic devices are capable of handling a variety of multimedia applications, from texting to high definition voice/video streaming, to online gaming, all of which pose very high requirements on wireless networks. The autonomous cross-layer optimization proposed in Ref. 2 is a layered solution in which each layer observes its own real time environment and selects its protocol parameters by allowing only minimum information exchange between layers. This method preserves the OSI layered architecture, leaves protocol designers flexibility on designing optimal protocols for each layer. We present an improved autonomous cross-layer optimization that takes into consideration of real time switching among multiple applications with different QoS requirements when selecting optimal decision variables (i.e., power allocation, modulation scheme, retransmission limit, and more.) for each layer. We conclude this paper with a discussion of future research on this subject
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