Energy Efficient Resource Allocation in Machine-to-Machine Communications with Multiple Access and Energy Harvesting for IoT
Zhaohui Yang, Wei Xu, Yijin Pan, Cunhua Pan, Ming Chen

TL;DR
This paper investigates energy-efficient resource allocation in M2M cellular networks with energy harvesting, comparing NOMA and TDMA strategies, and proposes optimization algorithms to minimize total energy consumption considering circuit power.
Contribution
It introduces optimal power control and time allocation methods for NOMA and TDMA in energy harvesting M2M networks, highlighting their energy efficiency trade-offs.
Findings
NOMA is more energy-efficient at low circuit power regimes.
TDMA outperforms NOMA at high circuit power regimes.
Optimal transmission occurs at minimum throughput for each device.
Abstract
This paper studies energy efficient resource allocation for a machine-to-machine (M2M) enabled cellular network with non-linear energy harvesting, especially focusing on two different multiple access strategies, namely non-orthogonal multiple access (NOMA) and time division multiple access (TDMA). Our goal is to minimize the total energy consumption of the network via joint power control and time allocation while taking into account circuit power consumption. For both NOMA and TDMA strategies, we show that it is optimal for each machine type communication device (MTCD) to transmit with the minimum throughput, and the energy consumption of each MTCD is a convex function with respect to the allocated transmission time. Based on the derived optimal conditions for the transmission power of MTCDs, we transform the original optimization problem for NOMA to an equivalent problem which can be…
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