Title :
Using a Greedy Algorithm for Link Adaptation in MIMO Wireless Networks
Author :
Feukeu, EA ; Djouani, K. ; Kurien, A.
Author_Institution :
French South African Inst. of Technol. (F´´SATI), Tshwane Univ. of Technol., Pretoria, South Africa
Abstract :
This paper presents a Link Adaptation (LA) algorithm for Wireless Local Area Network (WLAN) IEEE 802.11n Multiple Input Multiple Output (MIMO) systems to solve the problem of wireless channel fluctuation that affect the propagation of radio signals between a transmitter and receiver. The proposed Greedy Algorithm (GA) will modify the modulation constellation size and code rate in response to the variation of the transmission medium. This Algorithm compared with the Auto-Rate-Fallback (ARF) algorithm performs better than the ARF approach in terms of throughput, packed loss, elapsed time and transmission efficiency.
Keywords :
MIMO communication; greedy algorithms; wireless LAN; IEEE 802.11n multiple input multiple output system; MIMO wireless networks; auto-rate-fallback algorithm; code rate; greedy algorithm; link adaptation algorithm; modulation constellation size; radio signal propagation; transmission efficiency; transmission medium; wireless channel fluctuation; wireless local area network; IEEE 802.11n Standard; MIMO; Modulation; Receivers; Signal to noise ratio; Throughput; Wireless LAN; IEEE 802.11n; MIMO; WLAN;
Conference_Titel :
AFRICON, 2011
Conference_Location :
Livingstone
Print_ISBN :
978-1-61284-992-8
DOI :
10.1109/AFRCON.2011.6071971