Jointly Optimal Rate and Power Allocation for Multilayer Transmission

In this paper we consider joint optimization of rate and power for communication systems that use multilayer source coding with successive information refinement, accompanied with a broadcast approach at the physical layer of the system. We analyze the problem under the assumption of Rayleigh fading...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2014-02, Vol.13 (2), p.834-845
Main Authors: Mesbah, Wessam, Shaqfeh, Mohammad, Alnuweiri, Hussein
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Broadcast approach
Channels
Coding, codes
Communication systems
Decoding
Exact sciences and technology
Fading
Information, signal and communications theory
joint power and rate optimization
Joints
multilayer transmission
Multilayers
Nonhomogeneous media
Optimization
Receivers
Resource management
Searching
Signal and communications theory
Signal to noise ratio
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Utilities
utility function maximization
Wireless communication
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Summary:In this paper we consider joint optimization of rate and power for communication systems that use multilayer source coding with successive information refinement, accompanied with a broadcast approach at the physical layer of the system. We analyze the problem under the assumption of Rayleigh fading channels where rates and power ratios of the source layers are jointly optimized based on channel statistics information, with the objective of maximizing the expected user satisfaction which is usually defined by a differentiable concave increasing utility function of the total decoded rate. As special cases, we consider two utility functions; namely, the expected total decoded rate at the receiver and the expected rate distortion of a Gaussian source. We show that the optimal solution can be obtained using a two-dimensional bisection search for any number of layers. The outer bisection search is over the Lagrangian dual variable and the inner bisection search is over the decoding threshold of the layer. Moreover, we show that with a small number of layers, we can approach the performance upper bound that is achieved by transmitting an infinite number of layers.
ISSN:1536-1276
1558-2248
DOI:10.1109/TW.2013.123013.130441