JOURNAL ARTICLE

Coding and Resource Scheduling in Packet Oriented Adaptive TDMA/OFDMA Systems

Abstract

adaptive transmission is investigated as a key technology for boosting the spectral efficiency of a new radio interface for 4G systems. Adaptive allocation and link adaptation of timefrequency chunks based on channel prediction in an OFDMbased system offers a significant potential to design a spectrally efficient system. The chunk size is typically defined based on the minimum coherence time and coherence bandwidth of the targeted channels. It is important to allow efficient channel coding and link retransmission schemes without restricting the resource scheduler, even for systems using small chunk sizes, to achieve multi-user diversity gains. In this paper we introduce some possible approaches to implement FEC coding and Hybrid ARQ and analyze their interplay with resource scheduling in packet oriented adaptive TDMA/OFDMA. Index Terms-4G mobile wireless systems, adaptive transmission and multiple access, Orthogonal Frequency Division Multiplexing (OFDM), forward error correction coding (FEC), link retransmissions, spectral efficiency. I.

Keywords:
Computer science Link adaptation Retransmission Time division multiple access Spectral efficiency Computer network Adaptive coding Frequency-division multiple access Scheduling (production processes) Orthogonal frequency-division multiplexing Network packet Hybrid automatic repeat request Automatic repeat request Air interface Coding (social sciences) Real-time computing Distributed computing Channel (broadcasting) Fading Telecommunications link Base station Algorithm

Metrics

10
Cited By
1.01
FWCI (Field Weighted Citation Impact)
8
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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