Title
End-to-End Data Rate Performance of Decode-and-Forward Relaying with Different Resource Allocation Schemes.
Abstract
This paper studies the end-to-end (e-e) data rate of dual-hop Decode-and-Forward (DF) infrastructure relaying under different resource allocation schemes. In this context, we first provide a comparative analysis of the optimal resource allocation scheme with respect to several other approaches in order to provide insights into the system behavior and show the benefits of each alternative. Then, assuming the optimal resource allocation, a closed form expression for the distribution of the mean and outage data rates is derived. It turns out that the corresponding mean e-e data rate formula attains an expression in terms of an integral that does not admit a closed form solution. Therefore, a tight lower bound formula for the mean e-e data rate is presented. Results can be used to select the most convenient resource allocation scheme and perform link dimensioning in the network planning phase, showing the explicit relationships that exist between component link bandwidths, SNR values, and mean data rate.
Year
DOI
Venue
2017
10.1155/2017/3708142
MOBILE INFORMATION SYSTEMS
Field
DocType
Volume
Mathematical optimization,Network planning and design,Computer science,End-to-end principle,Upper and lower bounds,Closed-form expression,Resource allocation,Data rate,Dimensioning,Distributed computing
Journal
2017
ISSN
Citations 
PageRank 
1574-017X
0
0.34
References 
Authors
15
5
Name
Order
Citations
PageRank
Inam Ullah163.21
Alexis A. Dowhuszko2307.55
Zhong Zheng310215.69
David González González4639.73
Jyri Hämäläinen554062.89