Research Article
Inter-satellite Optical Analog Network Coding Using Modulated Retro Reflectors
@INPROCEEDINGS{10.1007/978-3-031-06371-8_2, author={Jia Yanmei and Lyu Congmin and Shen Pengfei and Lu Lu}, title={Inter-satellite Optical Analog Network Coding Using Modulated Retro Reflectors}, proceedings={Science and Technologies for Smart Cities. 7th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2021, Proceedings}, proceedings_a={SMARTCITY}, year={2022}, month={6}, keywords={Modulated retro reflector Analog network coding Power allocation Throughput}, doi={10.1007/978-3-031-06371-8_2} }- Jia Yanmei
Lyu Congmin
Shen Pengfei
Lu Lu
Year: 2022
Inter-satellite Optical Analog Network Coding Using Modulated Retro Reflectors
SMARTCITY
Springer
DOI: 10.1007/978-3-031-06371-8_2
Abstract
Information sharing, real-time data exchange, and low SWaP (Size, Weight and Power) inter-satellite communication are the key technologies for cooperative satellite. In order to build a high-throughput inter-satellite optical communication network suitable for micro-satellites, an analog network coding (ANC) system based on modulated retro reflectors (MRR) was designed for two way relay channel (TWRC). Different from traditional-scheduling (TS) based TWRC, MRR ANC saves two sets of pointing, acquisition and tracking (PAT) devices at the end terminals. Specifically, our proposed MRR ANC system is suitable for small satellites with tight SWaP constrains. In this paper, we solve the power allocation problem of MRR ANC using Lagrange multiplier method under sum rate maximization criteria. We evaluated the system throughput and bit error rate (BER) performances using numerical simulations. The results show that both sum rate and BER performances of MRR ANC are improved using our proposed method compared with conventional uniform power allocation scheme. When each bidirectional link distance is 200 km, the non-channel-coded BER of each terminal is({10^{-5}})using on-off keying (OOK) modulation. Compared with traditional scheduling, the system throughput of MRR ANC was improved by 1.8 times.
