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International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Adaptive Layer Approach For Power Management In Wireless Communication

[Full Text]

 

AUTHOR(S)

Mr. J.Purushothaman, Ms.S.Suganthi AP/ECE, Mr.G.Parameswaran AP/ECE

 

KEYWORDS

Index Terms: Energy-efficient wireless communications, dynamic power management, power-control, adaptive modulation and coding, Markov decision process, reinforcement learning.

 

ABSTRACT

Abstract: In this method we only use joint physical layer method it gives physical information(graphical analysis) only. Here we develop Cross layer method with the joint physical layer method. Cross-layer optimization shall contribute to an improvement of quality of services under various operational conditions. Such management is currently subject of various patent applications. The cross-layer control mechanism provides a feedback on concurrent quality information for the adaptive setting of control parameters. Cross layer optimization removes strict boundaries to allow communication between layers by permitting one layer to access the data of another layer to exchange information and enable interaction. For example, having knowledge of the current physical state will help a channel allocation scheme or automatic repeat request (ARQ) strategy at the MAC layer in optimizing tradeoffs and achieving throughput maximization. Our results show that the proposed learning algorithms can converge up to two orders of magnitude faster than a state-of-the-art learning algorithm for physical layer power-control and up to three orders of magnitude faster than conventional reinforcement learning algorithms.

 

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