Abstract
This paper describes how to apply polar codes in high-throughput space communications. The high throughput space communications can enable terabit data rate capacity wideband wireless transmissions, and offer service availability of anywhere and anytime. The paper investigates the channel characteristics in space communications. The channels are lossy, time-varying, intermittent, long-latency, and with imperfect channel state information (CSI). In order to make the polar codes suitable for the space channel, some improvements and designs on the polar codes are provided in this paper. The encoding and decoding methods of polar codes are discussed, which are the key to determine the performance. We describe some rateless polar coding schemes that can guide the construction of suitable codes for time-varying channels with no-CSI in long-haul transmissions. Then, a high-rate parallel concatenation scheme of polar codes is introduced, which can improve the anti-interrupt ability of polar codes. Moreover, in order to support the massive connectivity requirements of future space communication networks, polar-coded sparse-code-multiple-access (SCMA) schemes are investigated.
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Inigo P, Vidal O, Roy B, et al. Review of terabit/s satellite, the next generation of HTS systems. In: Proceedings of the 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASMS/SPSC). 2014. 318–322
Fenech H, Amos S, Tomatis A, et al. High throughput satellite systems: An analytical approach. IEEE Trans Aerosp Electron Syst, 2015, 51: 192–202
Choi J P, Joo C. Challenges for efficient and seamless space-terrestrial heterogeneous networks. IEEE Commun Mag, 2015, 53: 156–162
Wu W R, Liu W W, Qiao D, et al. Investigation on the development of deep space exploration. Sci China Tech Sci, 2012, 55: 1086–1091
Liu K, Lee J J. Recent results on the use of concatenated reed-solomon/viterbi channel coding and data compression for space communications. IEEE Trans Commun, 1984, 32: 518–523
Andrews K S, Divsalar D, Dolinar S, et al. The development of turbo and LDPC codes for deep-space applications. Proc IEEE, 2007, 95: 2142–2156
MacKay D J C. Fountain codes. IEE Proc-Commun, 2005, 152: 1062–1068
Arikan E. Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Trans Inform Theor, 2009, 55: 3051–3073
Tal I, Vardy A. List decoding of polar codes. IEEE Trans Inform Theor, 2015, 61: 2213–2226
Giambene G, Kota S, Pillai P. Satellite-5G integration: A network perspective. IEEE Network, 2018, 32: 25–31
Hadinger P. Inmarsat Global Xpress the design, implementation, and activation of a global Ka-band network. In: Proceedings of the 33rd AIAA International Communications Satellite Systems Conference and Exhibition. Queensland, 2015. 4303
Dankberg M, Hudson E. VIASAT: On a mission to deliver the worlds lowest-cost satellite bandwidth. Recent Success Satellite Systems: Visions of the Future. Reston: American Institute of Aeronautics and Astronautics, Inc., 2016. 105–134
Wood L, Lou Y, Olusola O. Revisiting elliptical satellite orbits to enhance the O3b constellation. ArXiv: 1407.2521
Chien K R, Tighe W, Bond T, et al. An overview of electric propulsion at L-3 communications, electron technologies inc. In: Proceedings of the 42nd AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit. Sacramento, 2006
Bauer R. Ka-band propagation measurements: An opportunity with the advanced communications technology satellite (ACTS). Proc IEEE, 1997, 85: 853–862
Takayama S, Horiuchi T, Sato T, et al. Rain attenuation compensation function of WINDS communication systems. In: Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS). Macau, 2009. 1–5
Kubista E, Fontan F P, Castro M A V, et al. Ka-band propagation measurements and statistics for land mobile satellite applications. IEEE Trans Veh Technol, 2000, 49: 973–983
Li W, Law C L, Dubey V K, et al. Ka-band land mobile satellite channel model incorporating weather effects. IEEE Commun Lett, 2001, 5: 194–196
Mori R, Tanaka T. Performance of polar codes with the construction using density evolution. IEEE Commun Lett, 2009, 13: 519–521
Wu D, Li Y, Sun Y. Construction and block error rate analysis of polar codes over AWGN channel based on gaussian approximation. IEEE Commun Lett, 2014, 18: 1099–1102
Tal I, Vardy A. How to construct polar codes. IEEE Trans Inform Theor, 2013, 59: 6562–6582
Arikan E. Systematic polar coding. IEEE Commun Lett, 2011, 15: 860–862
Chen G T, Zhang Z, Zhong C, et al. A low complexity encoding algorithm for systematic polar codes. IEEE Commun Lett, 2016: 1–1
Arkan E. A performance comparison of polar codes and Reed-Muller codes. IEEE Commun Lett, 2008, 12: 447–449
Fayyaz U U, Barry J R. Low-complexity soft-output decoding of polar codes. IEEE J Sel Areas Commun, 2014, 32: 958–966
Li B, Shen H, Tse D. An adaptive successive cancellation list decoder for polar codes with cyclic redundancy check. IEEE Commun Lett, 2012, 16: 2044–2047
Zhang C, Wang Z, You X, et al. Efficient adaptive list successive cancellation decoder for polar codes. In: Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers. Pacific Grove, 2014. 126–130
Chen K, Li B, Shen H, et al. Reduce the complexity of list decoding of polar codes by tree-pruning. IEEE Commun Lett, 2016, 20: 204–207
Zhang Z, Zhang L, Wang X, et al. A split-reduced successive cancellation list decoder for polar codes. IEEE J Sel Areas Commun, 2016, 34: 292–302
Afisiadis O, Balatsoukas-Stimming A, Burg A. A low-complexity improved successive cancellation decoder for polar codes. In: Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers. Pacific Grove, 2014. 2116–2120
Zhang Z, Qin K, Zhang L, et al. Progressive bit-flipping decoding of polar codes: A critical-set based tree search approach. IEEE Access, 2018, 6: 57738–57750
Chandesris L, Savin V, Declercq D. Dynamic-SCFlip decoding of polar codes. IEEE Trans Commun, 2018, 66: 2333–2345
Wu D, Li Y, Guo X, et al. Ordered statistic decoding for short polar codes. IEEE Commun Lett, 2016, 20: 1064–1067
Qin K, Zhang Z. Low-latency adaptive ordered statistic decoding of polar codes. IEEE Access, 2019, doi: https://doi.org/10.1109/ACCESS.2019.2940525
Feng B, Jiao J, Liang K, et al. Adjustable soft list decoding for polar codes. In: Proceedings of the IEEE 90th Vehicular Technology Conference (VTC2019-Fall). Honolulu, 2019. 1–5
Li B, Tse D, Chen K, et al. Capacity-achieving rateless polar codes. In: Proceedings of the IEEE International Symposium on Information Theory (ISIT). 2016. 46–50
Hong S N, Hui D, Maric I. Capacity-achieving rate-compatible polar codes. IEEE Trans Inform Theor, 2017, 63: 7620–7632
Feng B, Zhang Q, Jiao J. An Efficient Rateless Scheme Based on the Extendibility of Systematic Polar Codes. IEEE Access, 2017, 5: 23223–23232
Mahdavifar H, El-Khamy M, Lee J, et al. Performance limits and practical decoding of interleaved reed-solomon polar concatenated codes. IEEE Trans Commun, 2014, 62: 1406–1417
Abbas S M, Fan Y Z, Chen J, et al. Concatenated LDPC-polar codes decoding through belief propagation. In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS). Baltimore, 2017. 1–4
Feng B, Jiao J, Zhou L, et al. A novel high-rate polar-staircase coding scheme. In: Proceedings of the 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). Chicago, 2018
Smith B P, Farhood A, Hunt A, et al. Staircase codes: FEC for 100 Gb/s OTN. J Lightwave Technol, 2012, 30: 110–117
Kukieattikool P, Goertz N. Staircase codes for high-rate wireless transmission on burst-error channels. IEEE Wireless Commun Lett, 2016, 5: 128–131
Barakatain M, Kschischang F R. Low-Complexity Concatenated LDPC-Staircase Codes. J Lightwave Technol, 2018, 36: 2443–2449
Vaezi M, Aruma Baduge G A, Liu Y, et al. Interplay between NOMA and other emerging technologies: A survey. IEEE Trans Cogn Commun Netw, 2019, 5: 900–919
Nikopour H, Baligh H. Sparse code multiple access. In: Proceedings of the IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 2013. 332–336
Dai J, Niu K, Si Z, et al. Polar-coded non-orthogonal multiple access. IEEE Trans Signal Process, 2018, 66: 1374–1389
Jing S, Yang C, Yang J, et al. Joint detection and decoding of polar-coded scma systems. In: Proceedings of the 9th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2017. 1–6
Zhang Z, Wang X, Zhang Y, et al. Rateless multiple access: Asymptotic throughput analysis and improvement with spatial coupling. IEEE Access, 2018, 6: 63200–63213
Li Y, Liu R, Wang R. A low-complexity snr estimation algorithm based on frozen bits of polar codes. IEEE Commun Lett, 2016, 20: 2354–2357
Li L, Xu Z, Hu Y. Channel Estimation with systematic polar codes. IEEE Trans Veh Technol, 2018, 67: 4880–4889
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This work was supported by the National Natural Science Foundation of China (Grant Nos. 61831008 and 61525103), the Shenzhen Basic Research Program (Grant No. ZDSYS201707280903305), and the Guangdong Science and Technology Planning Project (Grant No. 2018B030322004).
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Feng, B., Jiao, J., Wu, S. et al. How to apply polar codes in high throughput space communications. Sci. China Technol. Sci. 63, 1371–1382 (2020). https://doi.org/10.1007/s11431-020-1630-2
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DOI: https://doi.org/10.1007/s11431-020-1630-2