Optimal Combination of Transmission Parameters for Maximizing the Throughput of WLAN

In wireless local area networks (WLANs), the data transmission rate is highly wavering concerning time according to changes in the channel environment. The traditional link adaptation algorithms, which rely on channel state information (CSI) estimation for selecting an appropriate modulation-coding scheme (MCS) does not thrive with madly varying channel conditions. To uphold this problem, in this paper we contemplate the link adaptation problem in IEEE 802.11n based WLAN by evaluating the performance under different combinations of transmission parameters or transmit modes. The evaluation results show that an optimal selection of transmission mode on a per-packet basis according to the current channel state maximizes the throughput performance of WLAN. Simulations over a wide class of TGn fading channel model shows that significant improvement in the throughput is possible by selecting an optimal combination of transmission parameters adaptively on a per-packet basis according to SNR estimation made at receiver.