DocumentCode
1796852
Title
TiM: Fine-Grained Rate Adaptation in WLANs
Author
Guanhua Wang ; Shanfeng Zhang ; Kaishun Wu ; Qian Zhang ; Ni, Lionel M.
Author_Institution
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear
2014
fDate
June 30 2014-July 3 2014
Firstpage
577
Lastpage
586
Abstract
Channel condition varies frequently in wireless networks. To achieve good performance, devices need rate adaptation. In rate adaptation, choosing proper modulation schemes based on channel conditions is vital to the transmission performance. However, due to the natural character of discrete modulation types and continuous varied link conditions, we cannot make a one-to-one mapping from modulation schemes to channel conditions. This matching gap causes either over-select or under-select modulation schemes which limits throughput performance. To fill-in the gap, we propose TiM (Time-line Modulation), a novel 3-Dimensional modulation scheme by adding time dimension into current amplitude-phase domain schemes. With estimation of channel condition, TiM changes base-band data transmission time by artificially interpolating values between original data points without changing amplitude-phase domain modulation type. We implemented TiM on USRP2 and conducted comprehensive simulations. Results show that, compared with rate adaptation choosing from traditional modulation schemes, TiM can improve channel utilization up to 200%.
Keywords
channel estimation; modulation; wireless LAN; 3-dimensional modulation; TiM; USRP2; WLAN; baseband data transmission; channel condition estimation; continuous varied link condition; discrete modulation type; fine-grained rate adaptation; time-line modulation; transmission performance; wireless network; Equations; Interpolation; Mathematical model; Modulation; Receivers; Signal to noise ratio; Time-domain analysis; Adapting Interpolation Rate; Modulation Scheme; Rate Adaptation;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on
Conference_Location
Madrid
ISSN
1063-6927
Print_ISBN
978-1-4799-5168-0
Type
conf
DOI
10.1109/ICDCS.2014.65
Filename
6888933
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