以轨道交通行业为背景,以智慧轨道交通(SRT)为对象,研究智慧轨道交通"全联网"(IoT)的基本组成框架和关键技术。将IoT置于下一代Internet背景之中,提出了以"智慧轨道交通骨干通信网"(SRT-BCN)为核心、以"基础...以轨道交通行业为背景,以智慧轨道交通(SRT)为对象,研究智慧轨道交通"全联网"(IoT)的基本组成框架和关键技术。将IoT置于下一代Internet背景之中,提出了以"智慧轨道交通骨干通信网"(SRT-BCN)为核心、以"基础接入网-资源网络"为轨道交通信息源和受主网络的"智慧轨道交通全联网(IoT for SRT,SRT-IoT)"的系统组成框架。针对轨道交通行业的特点,进一步将智慧轨道交通基础接入—资源网中与轨道交通有关部分划分为"列车接入—资源网"(TARN)和"地面接入—资源网"(GARN),并分析智慧轨道交通骨干通信网(SRT-BCN)和外围接入/资源网的特点,讨论相关的关键技术。重点讨论了与列车相关的TARN技术,得出需要进一步发展TARN相关网络技术的结论,为实现SRT-IoT更广泛的互联互通奠定研究基础。展开更多
High-speed train communication system is a typical high-mobility wireless communication network. Resource allocation problem has a great impact on the system performance. However, conventional resource allocation appr...High-speed train communication system is a typical high-mobility wireless communication network. Resource allocation problem has a great impact on the system performance. However, conventional resource allocation approaches in cellular network cannot be directly applied to this kind of special communication environment. A multidomain resource allocation strategy was proposed in the orthogonal frequency-division multiple access(OFDMA) of high-speed. By analyzing the effect of Doppler shift, sub-channels, antennas, time slots and power were jointly considered to maximize the energy efficiency under the constraint of total transmission power. For the purpose of reducing the computational complexity, noisy chaotic neural network algorithm was used to solve the above optimization problem. Simulation results showed that the proposed resource allocation method had a better performance than the traditional strategy.展开更多
文摘以轨道交通行业为背景,以智慧轨道交通(SRT)为对象,研究智慧轨道交通"全联网"(IoT)的基本组成框架和关键技术。将IoT置于下一代Internet背景之中,提出了以"智慧轨道交通骨干通信网"(SRT-BCN)为核心、以"基础接入网-资源网络"为轨道交通信息源和受主网络的"智慧轨道交通全联网(IoT for SRT,SRT-IoT)"的系统组成框架。针对轨道交通行业的特点,进一步将智慧轨道交通基础接入—资源网中与轨道交通有关部分划分为"列车接入—资源网"(TARN)和"地面接入—资源网"(GARN),并分析智慧轨道交通骨干通信网(SRT-BCN)和外围接入/资源网的特点,讨论相关的关键技术。重点讨论了与列车相关的TARN技术,得出需要进一步发展TARN相关网络技术的结论,为实现SRT-IoT更广泛的互联互通奠定研究基础。
基金Supported by the National Natural Science Foundation of China(No.61302080)Scientific Research Starting Foundation of Fuzhou University(No.022572)Science and Technology Development Foundation of Fuzhou University(No.2013-XY-27)
文摘High-speed train communication system is a typical high-mobility wireless communication network. Resource allocation problem has a great impact on the system performance. However, conventional resource allocation approaches in cellular network cannot be directly applied to this kind of special communication environment. A multidomain resource allocation strategy was proposed in the orthogonal frequency-division multiple access(OFDMA) of high-speed. By analyzing the effect of Doppler shift, sub-channels, antennas, time slots and power were jointly considered to maximize the energy efficiency under the constraint of total transmission power. For the purpose of reducing the computational complexity, noisy chaotic neural network algorithm was used to solve the above optimization problem. Simulation results showed that the proposed resource allocation method had a better performance than the traditional strategy.
