DocumentCode
1779904
Title
On lossy source-channel transmission in Energy Harvesting communication systems
Author
Motlagh, M. Shahrbaf ; Khuzani, M. Badiei ; Mitran, Patrick
Author_Institution
Univ. of Waterloo, Waterloo, ON, Canada
fYear
2014
fDate
June 29 2014-July 4 2014
Firstpage
1181
Lastpage
1185
Abstract
Continuous-time lossy source transmission in an Energy Harvesting (EH) communication system is studied. In particular, the distortion performance for the transmission of a Gaussian source and compound Poisson energy arrivals is considered. Based on the convexity of the distortion function and Jensen´s inequality, a lower bound on the average distortion is established in terms of the capacity of the battery and parameters such as the distribution of energy arrivals and the variance of the source. Moreover, a calculus of variations technique is used to derive an adaptive transmission power policy as well as an adaptive mismatch factor. More specifically, the structure of a locally optimal achievable power policy is characterized as the solution to a first order non-linear ordinary differential equation (ODE). Also for the mismatch factor, a closed-form formula as a function of the battery charge via the LambertW function is derived.
Keywords
Gaussian channels; Gaussian distribution; battery management systems; combined source-channel coding; distortion; energy harvesting; nonlinear differential equations; stochastic processes; telecommunication power management; variational techniques; Gaussian source transmission; Jensen´s inequality; LambertW function; adaptive mismatch factor; adaptive transmission power policy; battery capacity; battery charge; compound Poisson energy arrival; continuous time lossy source channel transmission; distortion function convexity; distortion performance; energy arrivals distribution; energy harvesting communication system; lower bound; nonlinear ODE; optimal achievable power policy; ordinary differential equation; variations technique; Batteries; Communication systems; Energy harvesting; Equations; Information theory; Nonlinear distortion; Propagation losses;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/ISIT.2014.6875019
Filename
6875019
Link To Document