Department of Wireless Communications, Poznan University of Technology, 61-131 Poznan, Poland.
Sensors (Basel). 2020 Mar 12;20(6):1587. doi: 10.3390/s20061587.
In this paper, a new perspective of using flexible, brain-inspired, analog and digital wireless transmission in massive future networks, is presented. Inspired by the nervous impulses transmission mechanisms in the human brain which is highly energy efficient, we consider flexible, wireless analog and digital transmission on very short distances approached from the energy efficiency point of view. The energy efficiency metric is compared for the available transmission modes, taking the circuit power consumption model into account. In order to compare the considered systems, we assume that the transmitted data comes from analog sensors. In the case of the digital transmission scheme, the decoded data are converted back to analog form at the receiving side. Moreover, different power consumption models from the literature and the digital transmission schemes with different performance are analyzed in order to examine if, for some applications and for some channel conditions, the analog transmission can be the energy-efficient alternative of digital communication. The simulation results show that there exist some cases when the analog or simplified digital communication is more energy efficient than digital transmission with QAM modulation.
本文提出了一种新的视角，即在大规模未来网络中使用灵活、受大脑启发的模拟和数字无线传输。受人类大脑神经冲动传输机制的启发，该机制具有很高的能量效率，我们从能量效率的角度考虑了非常短距离的灵活、无线模拟和数字传输。考虑了可用的传输模式，并考虑了电路功耗模型，比较了能量效率指标。为了比较所考虑的系统，我们假设传输的数据来自模拟传感器。在数字传输方案的情况下，接收端将解码后的数据转换回模拟形式。此外，还分析了来自文献的不同功耗模型和不同性能的数字传输方案，以检查在某些应用和某些信道条件下，模拟传输是否可以成为数字通信的节能替代方案。仿真结果表明，在某些情况下，模拟或简化的数字通信比具有 QAM 调制的数字传输更节能。
