Proportional fairness in wireless powered CSMA/CA based IoT networks

TL;DR

This paper presents a joint optimization framework for proportional fairness in wireless powered IoT networks, balancing energy constraints and communication efficiency by considering CSMA/CA protocol features.

Contribution

It introduces a novel joint optimization approach for wireless power transfer and data communication that accounts for CSMA/CA protocol characteristics in IoT networks.

Findings

Optimized solutions effectively balance throughput across nodes.

Proportional fairness maximizes overall throughput under energy constraints.

The approach considers CSMA/CA features like backoff and collisions.

Abstract

This paper considers the deployment of a hybrid wireless data/power access point in an 802.11-based wireless powered IoT network. The proportionally fair allocation of throughputs across IoT nodes is considered under the constraints of energy neutrality and CPU capability for each device. The joint optimization of wireless powering and data communication resources takes the CSMA/CA random channel access features, e.g. the backoff procedure, collisions, protocol overhead into account. Numerical results show that the optimized solution can effectively balance individual throughput across nodes, and meanwhile proportionally maximize the overall sum throughput under energy constraints.