Source-Channel Coding Under Energy, Delay, and Buffer Constraints
File(s)
Accepted version
Author(s)
Orhan, O
Gunduz, D
Erkip, E
Type
Journal Article
Abstract
Source and channel coding for an energy-limited wireless sensor node is investigated. The sensor node observes independent Gaussian source samples with variances changing over time slots. The channel is modeled as a flat fading channel, whose gain remains constant during each time slot, and changes from one time slot to the next. The compressed samples are stored in a finite data buffer, and need to be delivered to the destination in at most d time slots. The objective is to minimize the average squared-error distortion between the source samples and their reconstructions. First, a battery operated system, in which the sensor node has a finite amount of energy at the beginning of transmission, is investigated. Then, the impact of energy harvesting, and the energy cost of processing and sampling are considered. The optimal compression and transmission policy is formulated as the solution of a convex optimization problem, and the properties of the optimal policies are identified. For the strict delay case, d=1, a two-dimensional (2D) waterfilling interpretation is provided. Numerical results are presented to illustrate the structure of the optimal policy, and to analyze the effect of the delay constraints, data buffer size, energy harvesting, and processing and sampling costs.
Date Issued
2015-07-08
Date Acceptance
2015-03-16
Citation
IEEE Transactions on Wireless Communications, 2015, 14 (7), pp.3836-3849
ISSN
1536-1276
Publisher
IEEE
Start Page
3836
End Page
3849
Journal / Book Title
IEEE Transactions on Wireless Communications
Volume
14
Issue
7
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Energy harvesting
convex optimization
processing energy cost
sampling energy cost
distortion minimization
two-dimensional waterfilling
HARVESTING COMMUNICATION-SYSTEMS
WIRELESS CHANNELS
OPTIMAL POLICIES
TRANSMISSION
BATTERY
Publication Status
Published