Rate maximization in dense interference networks using non-cooperative passively loaded relays

Concepts like the internet of things (IOT) and heterogeneous networks would allow large communication node densities. In such scenarios, the communication system performance is usually interference limited. Classical methods for interference management are either inefficient with regards to spectral efficiency or consume much power. However, in such scenarios nodes may be very near to each other in terms of wave length. Hence, there would have antenna coupling between them, which adds a new domain to the problem. We consider a communication system with multiple single antenna transmitter- receiver pairs, forming an interference channel. The receivers are closely spaced and surrounded by a number of non-cooperative passively loaded relays. Receive antennas and relay antennas experience coupling between each other. We adapt the relay loads as well as the matching networks of the receivers to maximize the sum rate. Our results show huge performance enhancements in comparison to TDMA. In some cases, they are close to the ones having multiple antenna receivers that use the theoretically best multiport matching. Our proposed algorithm is relevant to modern communication systems with high node density.