Suppress Interference by Symbol-misalignment

This paper studies the interference reduction, which is one the most important issue to increase the network throughput, improve the energy efficiency (green communication) and so on. In doing so, we first induce the system model consisting of one interfering node, based on several network examples. After that, the impact of time asynchrony between the interfering signal and the target signal is investigated. Interestingly, we show that the interference asynchrony can actually improve the BER performance, compared with the situation in which symbols of all signals are aligned. In particular, it is shown that symbol misalignment can decrease the "effective interference power" and change the distribution of the interfering signals, in a way that results in lower BER (or higher SINR equivalently). To ensure that symbol misalignment can be consistently attained, we propose a simple scheme that introduces time-varying symbol offsets to obtain an "average" performance of random symbol misalignment. Notably, our schemes do not change the simple receiver design structure; only the transmitters are modified in a minor way.