Calculating the density and distribution function for the singly and doubly noncentral F
Statistics and Computing
Bounds on extrapolation of field knowledge for long-range prediction of mobile signals
IEEE Transactions on Wireless Communications
On asymptotically fair transmission scheduling over fading channels with measurement delay
IEEE Transactions on Wireless Communications
Multiple-access interference processes are self-similar in multimedia CDMA cellular networks
IEEE Transactions on Information Theory
Probability density functions for SNIR in DS-CDMA
IEEE Transactions on Communications
| Hi-index | 0.00 |
In cellular systems, with frequency reuse of one, basestations strongly interfere with each other on downlink. Typically more than forty percent of the cell area faces a signal to interference ratio of 0 dB or less. To improve system throughput, packet transmissions are scheduled by the base when signal to interference ratio is higher than each mobile's average. Downlink pilots are measured and the SIR is fed back as a measure of the achievable rate. We examine prediction of the channel signal to interference ratio by the mobile. Both powers are modeled as auto-regressive stochastic processes. We derive the probability distribution function of the prediction error to determine the backoff margin required for a percentage of packets to be decoded successfully. The performance improvement due to prediction for a proportional fair scheduled system is shown through simulation.