Link Adaptation with SNR Offset for Wireless LAN Systems 


Vol. 36,  No. 10, pp. 839-846, Oct.  2011


PDF Full-Text
  Abstract

Link Adaptation should select the best modulation and coding scheme (MCS) which gives the highest throughput as channel conditions vary. Several link adaptation algorithms for wireless local area network (WLAN) have been proposed but for the future WLAN systems such as 802.11n system, these algorithms do not guarantee the best performance. In this paper, we propose a new link adaptation algorithm in which an MCS level is chosen by the received SNR plus the offset value obtained from the transmission results. The performance of proposed algorithm is simulated by an IEEE 802.11n system. From the analysis, we conclude the proposed algorithm performs better than the well-known link adaptation algorithms such as auto rate fallback and general SNR-based techniques. Particularly, the proposed algorithm improves throughput when the packet error ratio (PER) is constrained for fast fading channels.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

C. Kim, K. Jeong, K. Ko, J. Lee, "Link Adaptation with SNR Offset for Wireless LAN Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 10, pp. 839-846, 2011. DOI: .

[ACM Style]

Chanhong Kim, Kyowon Jeong, Kyeongjun Ko, and Jungwoo Lee. 2011. Link Adaptation with SNR Offset for Wireless LAN Systems. The Journal of Korean Institute of Communications and Information Sciences, 36, 10, (2011), 839-846. DOI: .

[KICS Style]

Chanhong Kim, Kyowon Jeong, Kyeongjun Ko, Jungwoo Lee, "Link Adaptation with SNR Offset for Wireless LAN Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 10, pp. 839-846, 10. 2011.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880