Jointly Optimal Spatial Channel Assignment and Power Allocation for MIMO SWIPT Systems

The joint design of spatial channel assignment and power allocation in Multiple Input Multiple Output (MIMO) systems capable of Simultaneous Wireless Information and Power Transfer (SWIPT) is studied. Assuming availability of channel state information at both communications ends, we maximize the harvested energy at the multi-antenna receiver, while satisfying a minimum information rate requirement for the MIMO link. We first derive the globally optimal eigenchannel assignment and power allocation design, and then present a practically motivated tight closed-form approximation for the optimal design parameters. Selected numerical results verify the validity of the optimal solution and provide useful insights on the proposed designs as well as the pareto-optimal rate-energy tradeoff.Comment: 5 pages; 4 figures; accepted to IEEE journal 201

Jointly Optimal Spatial Channel Assignment and Power Allocation for MIMO SWIPT Systems

The joint design of spatial channel assignment and power allocation in multiple input multiple output (MIMO) systems capable of simultaneous wireless information and power transfer is studied. Assuming availability of channel state information at both communications ends, we maximize the harvested energy at the multi-antenna receiver, while satisfying a minimum information rate requirement for the MIMO link. We first derive the globally optimal eigenchannel assignment and power allocation design, and then present a practically motivated tight closed-form approximation for the optimal design parameters. Selected numerical results verify the validity of the optimal solution and provide useful insights on the proposed designs as well as the Pareto-optimal rate-energy tradeoff

Information-Energy Regions in the Finite Block-Length Regime with Finite Channel Inputs

This paper provides a complete characterization of the information-energy region of simultaneous information and energy transmission over an additive white Gaussian noise channel in the finite block-length regime with finite sets of channel input symbols. Given a set of channel input symbols, the converse characterizes the tuples of information rate, energy rate, decoding error probability (DEP) and energy outage probability (EOP) that cannot be achieved by any code built using the given set of channel inputs. A novel method for constructing a family of codes that respects the given information rate, energy rate, DEP and EOP requirements is proposed. The achievable region identifies the set of tuples of information rate, energy rate, DEP and EOP that can be achieved by the constructed family of codes. The proposed construction proves to be information rate, energy rate, and EOP optimal. The achieved DEP is, however, sub-optimal, owing to the choice of the decoding regions made during the construction