LTE, The UMTS Long Term Evolution: From Theory to Practice
LTE, The UMTS Long Term Evolution: From Theory to Practice
Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences
IEEE Transactions on Signal Processing
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Channel variation plays a crucial role in data transmission. This variation may affect wireless network protocols like IEEE 802.11 and hence the throughput. We propose the combination of a simple channel estimation method based on basis expansion model with channel prediction to improve the performance of the IEEE 802.11 network's MAC protocols in a time-varying channel environment. When many users try to access the medium, the time separation (delay) between two successive transmissions belonging to the same user may vary due to the fairness mechanism used by the medium access protocols. During this delay, the channel may change and efficient channel modeling and estimation methods should be applied. Time varying channel's estimation and prediction have been proposed in order to mitigate the effect of channel variation on the system's throughput. This proposition mitigates also the impact of pilot signals loss, due to collisions, on the system's throughput. Pilot signals are known to the receiver and they are used to predict the future values of the timevarying channel for the following data reception period.