Cognitive Scheduling Network with Limited Feedback

In this chapter, we consider a broadcast scheduling secondary network sharing the spectrum with a point-to-point primary network, where each receiver sends 1-bit channel feedback to its corresponding transmitter. According to the eavesdropped primary feedback and the received secondary feedback, the secondary transmitter selects a secondary receiver with one of the best instantaneous channels in each fading block and transmits to it with the adaptive rate and power.We derive the asymptotically optimal resource allocation that maximizes the secondary throughput subject to the average secondary power constraint and primary rate loss constraint. It is proved that the maximized secondary throughput grows double logarithmically with the number of receivers, which follows the same scaling law as that with the full channel quality information.