Development of a Minimum Interference Leakage based Interference Aligned Network in Presence of Jammers

Interference alignment (IA) is a potential solution to combat interference in a wireless network. It can also be extended to mitigate the harmful effects of adversarial jamming. Anti-jamming opportunistic IA (OIA) strategy jointly optimizes the transmission power and harvested energy of the adversarial IA wireless network in the presence of jammers. In anti-jamming OIA network, selected users transmit information at a given time slot while unselected users perform energy harvesting (EH). Selected users may also be allowed to perform EH whilst they are performing information transfer, using simultaneous information and power transfer technique. The total radio frequency energy received at the selected users is split into two parts based on the power splitting coefficient, one for information decoding and the other for energy harvesting. The total transmitted power of the network and power splitting coefficient are then jointly optimised by adopting a sub-optimal algorithm. This paper proposes the use of minimum interference leakage (MinIL) algorithm for formulation of anti-jamming OIA network and subsequent joint optimisation of power splitting and transmit power of the users in the network. The simulation results show that usage of MinIL algorithm reduces the total transmit power of the entire network for low jamming power levels.