Battery-Aware Adaptive Modulation Based on Large-Scale MDP

Author

Yang, Kai ; Wang, Xiaodong

Author_Institution

Columbia Univ., New York

Volume

7

Issue

1

fYear

2008

Firstpage

72

Lastpage

77

Abstract

We treat the problem of designing the optimal transmission scheme that is adapted to the battery state, the channel and buffer conditions, and the incoming traffic rate. We assume that the battery states can be tracked at every time slot, so that the problem is formulated as a large-scale Markov decision process (MDP). An efficient sparse sampling method is employed to obtain a solution. Simulation results are provided to demonstrate that the proposed schemes can considerably increase the lifetime of the battery-powered wireless systems while satisfying QoS (quality of Service) constraints.

Keywords

Markov processes; adaptive modulation; decision theory; quality of service; radiocommunication; sampling methods; telecommunication power supplies; telecommunication traffic; Markov decision process; QoS constraints; battery-aware adaptive modulation; battery-powered wireless systems; incoming traffic rate; large-scale MDP; optimal transmission scheme; sampling method; Battery management systems; Data communication; Large-scale systems; Markov processes; Quadrature amplitude modulation; Quality of service; Sampling methods; Stochastic processes; Traffic control; Wireless communication;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2008.060586

Filename

4432247