Paper Info
Title
Receiver Antenna Partitioning for Simultaneous Wireless Information and Power Transfer.
Abstract
Powering mobiles using microwave \emph{power transfer} (PT) avoids the inconvenience of battery recharging by cables and ensures uninterrupted mobile operation. The integration of PT and \emph{information transfer} (IT) allows wireless PT to be realized by building on the existing infrastructure for IT and also leads to compact mobile designs. As a result, \emph{simultaneous wireless information and power transfer} (SWIPT) has emerged to be an active research topic that is also the theme of this paper. In this paper, a practical SWIPT system is considered where two multi-antenna stations perform separate PT and IT to a multi-antenna mobile to accommodate their difference in ranges. The mobile dynamically assigns each antenna for either PT or IT. The antenna partitioning results in a tradeoff between the MIMO IT channel capacity and the PT efficiency. The optimal partitioning for maximizing the IT rate under a PT constraint is a NP-hard integer program, and the paper proposes solving it via efficient greedy algorithms with guaranteed performance. To this end, the antenna-partitioning problem is proved to be one that optimizes a sub-modular function over a matroid constraint. This structure allows the application of two well-known greedy algorithms that yield solutions no smaller than the optimal one scaled by factors $(1-1/e)$ and 1/2, respectively.
Year
Venue
Field
2014
CoRR
Integer,Matroid,Mathematical optimization,Wireless,Information transfer,MIMO,Greedy algorithm,Maximum power transfer theorem,Channel capacity,Mathematics
DocType
Volume
Citations 
Journal
abs/1410.1289
2
PageRank 
References 
Authors
0.37
9
3
Name
Order
Citations
PageRank
Rahul Vaze146345.64
Jainam Doshi220.37
Kaibin Huang33155182.06