Paper Info
Title
Combining Data Aggregation and HARQ Schemes to Guarantee Quality-of-Services in Uplink Relay-Based Networks
Abstract
Data aggregation significantly reduces signaling overhead and delay by encapsulating multiple packets in queue into an aggregated packet in uplink two-hop relaying networks. In addition, hybrid automatic repeat request (HARQ) operation increases the system throughput by retransmitting the entire or part of the packet transmitted at the initial transmission. We combine data aggregation and HARQ schemes in uplink multi-hop relaying. We discuss a problem about how to combine data aggregation and HARQ at an uplink relay station(RS). We propose two data aggregation schemes : a fine classification mode (FCM) and a coarse classification mode (CCM), in which packets in queue are aggregated based on their quality of service(QoS) with different criteria. We compare the throughput performance of the conventional scheme and our two proposed schemes in case of a fixed RS and a moving RS. The CCM scheme is more efficient in the fixed RS, while the FCM scheme is more efficient in the moving RS.
Year
DOI
Venue
2010
10.1109/ICC.2010.5502637
ICC
Keywords
Field
DocType
coarse classification mode,cellular radio,quality of service,qos guarantee,uplink multihop relaying,fine classification mode,uplink two-hop relaying networks,hybrid automatic repeat request operation,queueing theory,harq schemes,fcm scheme,ccm scheme,automatic repeat request,signaling overhead,relay station,data aggregation schemes,throughput,signal to noise ratio,data aggregation,fading,error correction
Hybrid automatic repeat request,Computer science,Network packet,Computer network,Quality of service,Real-time computing,Queueing theory,Automatic repeat request,Throughput,Relay,Telecommunications link
Conference
ISSN
ISBN
Citations 
1550-3607
978-1-4244-6402-9
2
PageRank 
References 
Authors
0.40
5
3
Name
Order
Citations
PageRank
Seong Hwan Kim133431.76
Su Min Kim212919.92
Dan Keun Sung31478147.84