Abstract: Systems and methods for implementing a differential signal to noise ratio (DSNR) based rate adaptation for wireless networks are disclosed. The described methods probabilistically adapt the rate of data transmission based on an assessment of the causes of data loss. The described methods include determining a DSNR for data transmission during a predetermined window of time and adapting the transmission rate in a probabilistic manner responsive to the differential SNR and a differential SNR threshold for the data transmission.

Abstract: The present invention considers a direct sequence spread spectrum system wherein every user employs the same spreading code. In a preferred embodiment, received signal is correlated with the training signal. Peaks of correlator output are used to identify the delays corresponding to the significant multipath components. The delays that are within a predetermined number of chips of each other are associated with a hypothesized user. In an alternate embodiment, a user separation technique is used which is based on the observation that after the training period, different users send uncorrelated data. In another alternate embodiment, linear minimum mean squared error (LMMSE) based correlators locked to individual users are employed. These correlators only provide multipath components of their corresponding users as output.