Title
Scheduling Parallel Data Retrievals for Non-consecutive Broadcast in MIMO Wireless Networks
Abstract
Wireless data broadcast is usually used to disseminate the public information to considerable clients in wireless environment. Based on the development of mobile device, some mobile devices can simultaneously use multiple antennae to process some operations. In this paper, we commit to study data retrieval scheduling problem in wireless data broadcast, which mobile device has multiple antennae and the data items are non-consecutively broadcasted in multiple parallel channels. In order to improve the performance of downloading requested data items, we propose a scheme of scheduling parallel data retrievals for non-consecutive broadcast to decrease access latency and energy consumption. In this scheme, we utilize a weight of channel through two balancing factors to choose the suitable channel for data retrieval. We analyze the performance of proposed scheme and the other schemes. Evaluation results prove that the proposed scheme has the better performance.
Year
DOI
Venue
2012
10.1109/PAAP.2012.39
PAAP
Keywords
Field
DocType
requested data item,nonconsecutive broadcast,balancing factor,mobile handsets,broadcast channels,public information dissemination,scheduling,mimo wireless networks,mobile device,data item,parallel channel,parallel data retrieval,information retrieval,mimo wireless network,multiantenna,parallel data retrievals,non-consecutive broadcast,antenna arrays,wireless networks,radio networks,multiple antenna,wireless channels,information dissemination,mimo communication,better performance,proposed scheme,wireless environment,data retrieval,radio data systems,wireless data broadcast,propsed scheme,parallel data retrieval scheduling
Wireless network,Wireless,Scheduling (computing),Computer science,Data retrieval,MIMO,Computer network,Communication channel,Dissemination,Broadcast radiation
Conference
ISSN
ISBN
Citations 
2168-3034
978-1-4673-4566-8
3
PageRank 
References 
Authors
0.38
17
3
Name
Order
Citations
PageRank
Ping He192.82
Hong Shen249952.98
Hui Tian36611.33