Adaptive modulation and coding techniques for global navigation satellite system inter-satellite communication based on the channel condition

作者：Huang, Jinhui; Su, Yingxue; Liu, Wenxiang; Wang, Feixue^*

来源：IET Communications, 2016, 10(16): 2091-2095.

DOI：10.1049/iet-com.2016.0093

• adaptive modulation
• adaptive codes
• satellite navigation
• satellite links
• wireless channels
• modulation coding
• error statistics
• adaptive modulation and coding technique
• Global Navigation Satellite System intersatellite communication
• channel condition
• intersatellite link
• ISL
• GNSS
• intersatellite distance
• AMC
• wireless data transmission spectral efficiency improvement
• data throughput improvement
• MCS
• signal-to-noise ratio estimation
• bit error rate algorithm
• BER algorithm

Inter-satellite link (ISL) will play an increasingly important role in the next generation of global navigation satellite system (GNSS). The inter-satellite distances in the GNSS vary greatly, resulting in a power loss difference of as much as 20 db. However, there are no reports on promotion of spectral efficiency in inter-satellite channels at present. In this study, the authors propose an efficient utilisation of the adaptive modulation and coding (AMC) scheme for ISLs in the GNSS. A novel method, based on inter-satellite distance, is presented for choosing the modulation and coding scheme (MCS). The proposed method provides a convenient way to estimate signal-to-noise ratio of the ISLs in GNSS. This AMC technique is implemented according to two different algorithms. One is the target bit error rate (BER) algorithm based on inter-satellite distance, aimed at keeping the BER below a target limit. The other is the maximum throughput algorithm based on inter-satellite distance, aimed at maximising the data throughput. In cases where the inter-satellite distance is short, simulation results show that, under the premise of the same transmission power, the throughput of two proposed AMC schemes is nearly six times that of a fixed MCS.

• 出版日期2016-11-3
• 单位中国人民解放军国防科学技术大学