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Reduced Data Rates for Energy-Efficient Reed-Solomon FEC on Fading Channels

Title
Reduced Data Rates for Energy-Efficient Reed-Solomon FEC on Fading Channels
Author
강경태
Keywords
Block interleaving; broadcasting; energy conservation; fading channels; forward error correction (FEC); STATISTICS; SYSTEMS; BCMCS
Issue Date
2009-01
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v. 58, No. 1, Page. 176-187
Abstract
In the CDMA2000 1xEV-DO broadcast service, Reed-Solomon (RS) coding is applied at the medium access control (MAC) layer. Long bursts of errors are corrected by an additional block interleaving mechanism, which improves the performance of RS coding by increasing the time diversity. This is achieved by increasing the width of the error control block (ECB) to convert error bursts into sparse patterns. On the assumption that the number of ECBs transmitted over the air channel in a given interval of time remains constant, we propose performance and energy models of RS decoding under varying conditions of Rayleigh fading on the broadcast channel, which allows for varying levels of block interleaving. Evaluation of this model shows that a higher data rate for the MAC payload and more efficient recovery from bursty errors can be achieved by increasing the level of block interleaving, although it increases the energy consumption. We therefore make the ECB as small as we can without incurring significant performance reduction by sacrificing the data rate to an extent that depends on the channel conditions. We suggest a way of choosing an adequate but energy-efficient level of ECB interleaving and, thus, determine the data rate. Our approach is effective for energy-constrained mobile devices running multimedia applications, which benefit from an increase in energy efficiency, and can tolerate a certain level of packet errors and a reduction in data rate.
URI
https://ieeexplore.ieee.org/abstract/document/4490165/http://repository.hanyang.ac.kr/handle/20.500.11754/74583
ISSN
0018-9545
DOI
10.1109/TVT.2008.923671
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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