Paper Info
Title
Resource allocation for goodput optimization in parallel subchannels with error correction and selective repeat ARQ
Abstract
This paper deals with the problem of allocating bits and power among a set of parallel frequency-flat subchannels. The objective is to maximize the number of information bits delivered without error to the user by unit of time, or good-put. We consider a frame-oriented transmission with convolutional coding, hard Viterbi decoding, and selective repeat automatic repeat request (ARQ) retransmission protocol. An expression for the goodput of the considered communication system is derived. Different bit and power allocations strategies are proposed and compared to one another using simulations. It turns out that the best trade-off between performance and complexity is achieved by allocating the power in such a way that the bit error rate is equal on all subchannels, and by allocating the bits by rounding the solution to the problem obtained by relaxing the constraint of integer constellation sizes.
Year
Venue
Keywords
2007
EUSIPCO
viterbi decoding,automatic repeat request,convolutional codes,error correction,error statistics,resource allocation,arq,bit error rate,convolutional coding,frame-oriented transmission,goodput optimization,hard viterbi decoding,parallel frequency-flat subchannels,parallel subchannels,selective repeat automatic repeat request retransmission protocol,resource management,viterbi algorithm
Field
DocType
ISBN
Hybrid automatic repeat request,Retransmission,Computer science,Selective Repeat ARQ,Computer network,Algorithm,Error detection and correction,Automatic repeat request,Viterbi decoder,Goodput,Bit error rate
Conference
978-839-2134-04-6
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
B. Devillers129017.33
Garcia Armada, A.232.12
Louveaux Jérôme328427.22
Luc Vandendorpe41611160.74