In recent years, the IEEE 802.11 WLANs (Wireless Local Area Networks) have been in the limelight anew due to the soaring deployment of smartphones which are equipped with 802.11 chips. The 802.11 standards specify multiple transmission rates at the ph...
In recent years, the IEEE 802.11 WLANs (Wireless Local Area Networks) have been in the limelight anew due to the soaring deployment of smartphones which are equipped with 802.11 chips. The 802.11 standards specify multiple transmission rates at the physical layer. To exploit the multi-rate capability, an 802.11 station must adjust its transmission rate as a reaction to the dynamically changing environments. This mechanism is called as rate adaptation, which is unspecified by the 802.11 standards, yet critical to the system performance. Now, the new high-throughput 802.11n standard offers more adaptable transmission parameters e.g., the number of frames to be aggregated, etc. Thus, the problem becomes more challenging. This dissertation addresses two main issues in multi-rate 802.11 WLANs with adaptive techniques.
Firstly, we propose a new rate adaptation scheme by exploiting the fact that the channel coherence time in indoor WLANs normally exceeds multiple frame transmission times. Without exchanging RTS and CTS frames, the receiver informs the transmitter of the improved channel condition via altering the ACK transmission rate, so that the transmitter increases the data rate for subsequent data frames. This enables the transmitter to adapt to the time-varying channel conditions while inducing the marginal overhead. In addition, the transmitter can effectively identify the reasons of frame losses. Frame losses are assumed to be caused only by collisions for the duration of the coherence time after receiving an ACK frame with the altered bit rate.
Then, we analyze the relation between fast link adaptation and frame aggregation in IEEE 802.11n. As the aggregation size of frames increases, the system goodput is enhanced due to the reduced overhead. However, the large frame aggregation also diminishes the link adaptation gain by lengthening the receiver feedback interval. To evaluate the goodput performance of 802.11n subject to the tradeoff between frame aggregation and fast link adaptation, we derive an analytical expression over Nakagami-$m$ block fading channels. In particular, we highlight that the large frame aggregation does not always increase the system goodput because of diminishing link adaptation gain, and suggest two possible approaches that remedy this situation.