Optimizing revenue in CDMA networks under demand uncertainty

Code division multiple access (CDMA) networks allow subscribers to share frequencies, so optimizing revenue involves reserving channel equivalents to each market subject to signal-tointerference constraints at the radio towers. We present a yield management model inspired by those from the airline industry to optimize revenue under uncertainty. We describe the optimality conditions and develop a supergradient algorithm. We provide computational results that show the effects of the distribution and variance of demand. Finally, we discuss areas of future research, including a method to optimize the locations of the towers. (