2 research outputs found
Downlink interference estimation without feedback for heterogeneous network interference avoidance
—In this paper, we present a novel method for a
base station (BS) to estimate the total downlink interference
power received by any given mobile receiver, without information
feedback from the user or information exchange between neighbouring
BSs. The prediction method is deterministic and can be
computed rapidly. This is achieved by first abstracting the cellular
network into a mathematical model, and then inferring the
interference power received at any location based on the power
spectrum measurements taken at the observing BS. The analysis
expands the methodology to a K-tier heterogeneous network
and demonstrates the accuracy of the technique for a variety
of sampling densities. The paper demonstrates the methodology
by applying it to an opportunistic transmission technique that
avoids transmissions to channels which are overwhelmed by interference.
The simulation results show that the proposed technique
performs closely or better than existing interference avoidance
techniques that require information exchange, and yields a 30%
throughput improvement over baseline configurations