专用短程通信
低密度奇偶校验码
计算机科学
吞吐量
物理
无线
多输入多输出
计算机网络
前向纠错
误码率
车载通信系统
车载自组网
实时计算
电信
物理层
频道(广播)
解码方法
无线自组网
作者
Utpal Dey,Robert Akl,Robin Chataut
标识
DOI:10.1109/ccwc54503.2022.9720849
摘要
The vehicular community is moving towards a whole new paradigm with the advancement of new technology. People rely on the technology included in the vehicles undoubtedly. As a result, Road conditions are becoming more dynamic and complex as cars having autopilot or autonomous vehicles are evolving faster than before. Vehicular communication plays a vital role to improve traffic and passenger safety and provide entertainment services. Traffic safety will be compromised if the performance of vehicular communication degrades with the growth of technology enabled traffic. The performance of vehicular communication depends on bit error rate (BER) and throughput. A good communication system can be defined by having high throughput while maintaining low BER. Multiple Input Multiple Output (MIMO) has the potential to provide high throughput and Low Density Parity Check (LDPC) Code has the potential to provide low BER. Therefore, we propose a PHY layer model containing both LDPC and MIMO in the Wireless Access for Vehicular Environments (WAVE) standard supported by Dedicated Short-Range Communication (DSRC). Our experimental results show that our proposed approach can achieve more than 3 times better throughput while keeping the BER lower compared to the existing approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI