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Wireless network scheduling and control techniques (e.g., opportunisticscheduling) rely heavily on access to Channel State Information (CSI). However,obtaining this information is costly in terms of bandwidth, time, and power,and could result in large overhead. Therefore, a critical question is how tooptimally manage network resources in the absence of such information. To thatend, we develop a cross-layer solution for downlink cellular systems withimperfect (and possibly no) CSI at the transmitter. We use rateless codes toresolve channel uncertainty. To keep the decoding complexity low, we explicitlyincorporate time-average block-size constraints, and aim to maximize the systemutility. The block-size of a rateless code is determined by both the networkcontrol decisions and the unknown CSI of many time slots. Therefore, unlikestandard utility maximization problems, this problem can be viewed as aconstrained partial observed Markov decision problem (CPOMDP), which is knownto be hard due to the "curse of dimensionality." However, by using a modifiedLyapunov drift method, we develop a dynamic network control scheme, whichyields a total network utility within O(1/Lav) of utility-optimal pointachieved by infinite block-size channel codes, where Lav is the enforced valueof the time-average block-size of rateless codes. This opens the door of beingable to trade complexity/delay for performance gains in the absence of accurateCSI. Our simulation results show that the proposed scheme improves the networkthroughput by up to 68% over schemes that use fixed-rate codes.

Network Control without CSI using Rateless Codes for Downlink Cellular Systems