In this paper, we consider a cognitive multi-hop relay secondary user (SU)
system sharing the spectrum with some primary users (PU). The transmit power as
well as the hop selection of the cognitive relays can be dynamically adapted
according to the local (and causal) knowledge of the instantaneous channel
state information (CSI) in the multi-hop SU system. We shall determine a low
complexity, decentralized algorithm to maximize the average end-to-end
throughput of the SU system with dynamic spatial reuse.
In this paper, we consider spatial-division multiple-access (SDMA) systems
with one base station with multiple antennae and a number of single antenna
mobiles under noisy limited CSIT feedback. We propose a robust noisy limited
feedback design for SDMA systems. The solution consists of a real-time robust
SDMA precoding, user selection and rate adaptation as well as an offline
feedback index assignment algorithm. The index assignment problem is cast into
a Traveling Sales Man problem (TSP).