DEVELOPMENT OF MINIMUM INTERFERENCE LEAKAGE BASED ALGORITHM FOR JOINT OPTIMIZATION OF POWER AND HARVESTED ENERGY IN PRESENCE OF JAMMERS

Abstract

Interference and jamming are two important issues at the physical layer of wireless communication networks. Interference alignment (IA) is a potent technique for combatting the problem of interference in wireless networks. It can also be extended to mitigate the harmful e ects of adversarial jamming. Anti-jamming opportunistic IA (OIA) strategy jointly optimizes the transmission power and harvested energy of the adversarial IA network in the presence of jammers. Some users have to be left out from the network to satisfy the conditions for anti-jamming IA network to be feasible, which may be termed as selected users and unselected users. Only selected users are able to form an OIA network in the presence of jammers. In anti-jamming OIA network, selected users make transmission at a given time slot while energy harvesting (EH) is carried out by the unselected users. In order to further enhance the performance of aforesaid scheme, selected users may also be allowed to perform EH whilst they are performing information transfer, using simultaneous wireless information and power transfer (SWIPT) technique. The radio frequency (RF) energy received at the selected users is bifurcated into two segments based on the power partition coe cient, one of the parts is utilised for information decoding and the other part is dedicated for energy harvesting purpose. The total transmitted power of the network and power partition coe cient are then jointly optimised to minimize the total transmit power of the IA network. The computational complexity of the joint optimization is reduced by adopting a sub-optimal algorithm. Maximum signal and interference to noise ratio (Max SINR) and minimum interference leakage (MIL) are two algorithms to formulate IA based networks in the presence of adversarial jammers. This dissertation report proposes the use of MIL algorithm for formulation of anti-jamming OIA network and subsequent joint optimisation of power partition coe cient and total transmit power of the network. The simulation results show that MIL algorithm reduces the total power transmitted by the users for lower jamming power levels