ARMA-Based Adaptive Coding Transmission Over Millimeter-Wave Channel for Integrated Satellite-Terrestrial Networks

The integrated satellite-terrestrial network can provide broadband wireless access in a wide coverage, efficient, and cost-effective manner, and is regarded as one of the most promising infrastructures for future heterogeneous network toward fifth generation. With the development of next generation of high throughput satellites (HTS), the application of the millimeter-wave (mmWave) band HTS is viewed as a vital role in the future integrated satellite-terrestrial network. Considering the rain attenuation is the dominant fading factor of the mmWave channel, we first propose a practical time-varying rain attenuation prediction model based on the autoregressive-moving-average (ARMA) model. Then, we develop an adaptive coding transmission (ACT) scheme based on the analog fountain codes combine the ARMA mmWave channel prediction model. The key parameters are selected based on a tradeoff between the decoding failure probability, block length, and overhead for our ARMA-based ACT scheme. Simulation results show that our proposed ACT scheme can effectively improve the throughput.

[1]  Yonghui Li,et al.  Adaptive rateless coding scheme for deep-space Ka-band communications , 2016, 2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE).

[2]  Naitong Zhang,et al.  Broadband Hybrid Satellite-Terrestrial Communication Systems Based on Cognitive Radio toward 5G , 2016, IEEE Wireless Communications.

[3]  Jay L. Gao.  On the performance of adaptive data rate over deep space Ka-band link: Case study using Kepler data , 2016, 2016 IEEE Aerospace Conference.

[4]  Branka Vucetic,et al.  Probabilistic Rateless Multiple Access for Machine-to-Machine Communication , 2015, IEEE Transactions on Wireless Communications.

[5]  Branka Vucetic,et al.  Performance analysis and optimization of LT codes with unequal recovery time and intermediate feedback , 2016, 2016 IEEE International Conference on Communications (ICC).

[6]  Yi Qian,et al.  Optimal RTO Timer for Best Transmission Efficiency of DTN Protocol in Deep-Space Vehicle Communications , 2017, IEEE Transactions on Vehicular Technology.

[7]  Qinyu Zhang,et al.  An Efficient Rateless Scheme Based on the Extendibility of Systematic Polar Codes , 2017, IEEE Access.

[8]  Zoltán Katona.  Channel adaptive output back-off setting of non-linear power amplifiers for high throughput multi-spot beam satellite systems , 2015, Int. J. Satell. Commun. Netw..

[9]  Ruhai Wang,et al.  Integration of Reed-Solomon codes to licklider transmission protocol (LTP) for space DTN , 2017, IEEE Aerospace and Electronic Systems Magazine.

[10]  Enzo Baccarelli,et al.  Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services , 2019, IEEE Transactions on Cloud Computing.

[11]  Branka Vucetic,et al.  Binary Compressive Sensing Via Analog Fountain Coding , 2015, IEEE Transactions on Signal Processing.

[12]  Ruhai Wang,et al.  Modeling RTT for DTN Protocol Over Asymmetric Cislunar Space Channels , 2016, IEEE Systems Journal.

[13]  Liang Huang,et al.  Space Power Synthesis-Based Cooperative Jamming for Unknown Channel State Information , 2017, WASA.

[14]  Wei Xiang,et al.  Network-coded rateless coding scheme in erasure multiple-access relay enable communications , 2014, IET Commun..

[15]  Branka Vucetic,et al.  Near-Capacity Adaptive Analog Fountain Codes for Wireless Channels , 2013, IEEE Communications Letters.

[16]  Symeon Chatzinotas,et al.  Cognitive spectrum utilization in Ka band multibeam satellite communications , 2015, IEEE Communications Magazine.

[17]  Ke Zhang,et al.  Bounds on the Reliability of RaptorQ Codes in the Finite-Length Regime , 2017, IEEE Access.

[18]  Qinyu Zhang,et al.  Packets interleaving CCSDS file delivery protocol in deep space communication , 2011, IEEE Aerospace and Electronic Systems Magazine.

[19]  Qinyu Zhang,et al.  Partially Observable Markov Decision Process-Based Transmission Policy over Ka-Band Channels for Space Information Networks , 2017, Entropy.

[20]  Branka Vucetic,et al.  Random Access for M2M Communications With QoS Guarantees , 2017, IEEE Transactions on Communications.

[21]  M. Kamp,et al.  Climatic radiowave propagation models for the design of satellite communication systems , 1999 .

[22]  Jay L. Gao,et al.  CFDP Performance over Weather-Dependent Ka-band Channel , 2006 .

[23]  Ruhai Wang,et al.  Reliable Deep-Space File Transfers: How Data Transfer Can Be Ensured Within a Single Round-Trip Interval , 2017, IEEE Vehicular Technology Magazine.

[24]  Qinyu Zhang,et al.  Performance Modeling of LTP-HARQ Schemes Over OSTBC-MIMO Channels for Hybrid Satellite Terrestrial Networks , 2018, IEEE Access.

[25]  Qinyu Zhang,et al.  Performance Analysis of Space Information Networks with Backbone Satellite Relaying for Vehicular Networks , 2017, Wirel. Commun. Mob. Comput..

[26]  Branka Vucetic,et al.  Analysis on LT codes for unequal recovery time with complete and partial feedback , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

[27]  Enzo Baccarelli,et al.  Distributed and adaptive resource management in Cloud-assisted Cognitive Radio Vehicular Networks with hard reliability guarantees , 2015, Veh. Commun..

[28]  Yi Yang,et al.  Distributed Rateless Codes with Unequal Error Protection Property for Space Information Networks , 2017, Entropy.

[29]  Randy Paffenroth,et al.  Interactive Multiple Model Filter for Land-Mobile Satellite Communications at Ka-Band , 2017, IEEE Access.

[30]  Monika Danos,et al.  MRO relay telecom support of Mars Science Laboratory surface operations , 2014, 2014 IEEE Aerospace Conference.

[31]  Tomaso de Cola,et al.  Reliability Options for Data Communications in the Future Deep-Space Missions , 2011, Proceedings of the IEEE.

[32]  David Copeland,et al.  Optimization of deep-space Ka-band link schedules , 2014, 2014 IEEE Aerospace Conference.

[33]  L. Castanet,et al.  Channel modelling based on N-state Markov chains for satcom systems simulation , 2003 .

[34]  Feng Wu,et al.  Seamless rate adaptation for wireless networking , 2011, MSWiM '11.

[35]  Yi Qian,et al.  Scoping Contact Graph-Routing Scalability: Investigating the System's Usability in Space-Vehicle Communication Networks , 2016, IEEE Vehicular Technology Magazine.