  Interference alignment (IA) is a promising solution for interference
management in wireless networks. On the other hand, simultaneous wireless
information and power transfer (SWIPT) has become an emerging technique.
Although some works have been done on IA and SWIPT, these two important areas
have traditionally been addressed separately in the literature. In this paper,
we propose to use a common framework to jointly study IA and SWIPT. We analyze
the performance of SWIPT in IA networks. Specifically, we derive the upper
bound of the power that can be harvested in IA networks. In addition, we show
that, to improve the performance of wireless power transfer and information
transmission, users should be dynamically selected as energy harvesting (EH) or
information decoding (ID) terminals. Furthermore, we design two
easy-implemented SWIPT-user selection (SWIPT-US) algorithms in IA networks. To
optimize the ID and EH performance of SWIPT in IA networks, a power-splitting
optimization (PSO) algorithm is proposed when power splitters are available,
and its closed-form optimal solutions are derived. Power allocation in the PSO
algorithm is also studied to further optimize the performance. Simulation
results are presented to show the effectiveness of the proposed algorithms.
