Abstract
With the development of silicon integration technology, the network-on-chip (NoC) proposes a scalable communication architecture that can improve system performance. Future multi-core chips are expected to be heterogeneous and hierarchical in nature. Inter-frequency interference will occur between various 2.4-GHz wireless network communication cores integrated on the same chip, resulting in lower network throughput and higher communication latency. This article solves the problem of wireless co-channel mutual interference from the two aspects of time domain and frequency domain and designs a heterogeneous platform based on NoC architecture to achieve more stable parallel communication of multiple wireless co-frequency networks without mutual interference. When the system detects the interference, this article uses the chirped fractional Fourier transform to filter out the interference signal before the signal arrives and then spreads the frequency. According to the results, the method improves the anti-interference ability of the network and the utilization of spectrum resources. Compared with the traditional carrier sense multiple access method, the spectrum-aware channel cooperation method proposed in this article reduces the data average transmission delay by 0.02 s and the data packet reception rate is increased by about 30%, which provides a certain reference value for future wireless multi-core communication.
Highlights
With the rapid development of the Internet of Things technology, a large number of short-range wireless communication technologies (such as WiFi, Bluetooth, ZigBee, and RFID) have emerged
In the time domain interference avoidance research, we propose that the heterogeneous multi-core dynamic task scheduling algorithm (HTMS) scheduling algorithm enables multiple wireless communication cores to achieve real-time task scheduling, avoiding the time domain overlap of wireless co-frequency networks on the same channel
According to the system results, this method can reduce the bit error rate (BER) and network communication delay under the condition of co-channel interference, and the data packet receiving rate is increased by about 30%
Summary
With the rapid development of the Internet of Things technology, a large number of short-range wireless communication technologies (such as WiFi, Bluetooth, ZigBee, and RFID (radio frequency identification)) have emerged They share the 2.4-GHz industrial, scientific, and medical (ISM) wireless free band in many scenarios.[1] The problem is that multiple signals present in the same frequency band, except for the valid signal of the transmitter, all other signals are interference to the receiver. International Journal of Distributed Sensor Networks higher bandwidth, and lower energy consumption, which can significantly improve the overall performance of the system This technology has an inevitable problem at the same time: the integration of various wireless communication cores on the same chip sharing the same frequency band[3] will lead to crosstechnology interference, which may cause the receiver to receive packet errors, affecting network communication quality.
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