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
