Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer
Anshoo Tandon, Mehul Motani, Lav R. Varshney

TL;DR
This paper investigates subblock-constrained coding strategies for energy-harvesting receivers, balancing energy delivery and information transfer, and introduces methods to optimize capacity while ensuring sufficient energy within each subblock.
Contribution
It characterizes the capacity of subblock-constrained codes, compares constant subblock-composition codes with variable compositions, and analyzes the tradeoffs between energy delivery and information rate.
Findings
CSCCs incur a rate loss compared to CCCs.
Allowing variable subblock compositions improves capacity.
Real-time energy use has less penalty than real-time information use.
Abstract
Consider an energy-harvesting receiver that uses the same received signal both for decoding information and for harvesting energy, which is employed to power its circuitry. In the scenario where the receiver has limited battery size, a signal with bursty energy content may cause power outage at the receiver since the battery will drain during intervals with low signal energy. In this paper, we consider a discrete memoryless channel and characterize achievable information rates when the energy content in each codeword is regularized by ensuring that sufficient energy is carried within every subblock duration. In particular, we study constant subblock-composition codes (CSCCs) where all subblocks in every codeword have the same fixed composition, and this subblock-composition is chosen to maximize the rate of information transfer while meeting the energy requirement. Compared to constant…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced biosensing and bioanalysis techniques · Advanced MIMO Systems Optimization
