An improved autonomous cross-layer optimization framework for wireless multimedia communication in heterogeneous networks

被引：0
|
作者：
Dong Y. [1 ]
Chang C.H. [1 ]
Yang Z. [1 ]
机构：
[1] Department of Electrical and Computer Engineering, Tufts University, Medford, MA
来源：
International Journal of Networked and Distributed Computing | 2014年 / 2卷 / 4期
关键词：
Autonomous cross-layer optimization; Dynamic Programming (DP); Heterogeneous networks; Markov Decision Process (MDP); Multimedia communication; Quality of service (QoS);
D O I：
10.2991/ijndc.2014.2.4.4
中图分类号：
学科分类号：
摘要：
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. © 2014, Atlantis Press. All rights reserved.
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收藏
页码：231 / 240
页数：9
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