期刊
IEEE INTERNET OF THINGS JOURNAL
卷 5, 期 1, 页码 229-245出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2017.2778766
关键词
Energy harvesting (EH); Internet of Things (IoT); machine-to-machine (M2M); nonorthogonal multiple access (NOMA); resource allocation
资金
- National Nature Science Foundation of China [61471114, 61372106, 61221002]
- Six Talent Peaks Project in Jiangsu Province [GDZB-005]
- U.K. Engineering and Physical Sciences Research Council [EP/N029666/1]
- Scientific Research Foundation of Graduate School of Southeast University [YBJJ1650]
- Engineering and Physical Sciences Research Council [EP/N029666/1] Funding Source: researchfish
- EPSRC [EP/N029666/1] Funding Source: UKRI
This paper studies energy efficient resource allocation for a machine-to-machine enabled cellular network with nonlinear energy harvesting, especially focusing on two different multiple access strategies, namely nonorthogonal 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 solved suboptimally via an iterative power control and time allocation algorithm. Through an appropriate variable transformation, we also transform the original optimization problem for TDMA to an equivalent tractable problem, which can be iteratively solved. Numerical results verify the theoretical findings and demonstrate that NOMA consumes less total energy than TDMA at low circuit power regime of MTCDs, while at high circuit power regime of MTCDs TDMA achieves better network energy efficiency than NOMA.
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