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04-05-2020

Energy efficiency resource allocation based on spectrum-power tradeoff in distributed satellite cluster network

Authors: Weilong Wang, Jun Wei, Shanghong Zhao, Yongjun Li, Yongxing Zheng

Published in: Wireless Networks | Issue 6/2020

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Abstract

Distributed satellite cluster network is a novel structure in spatial information network. This paper investigates the spectrum-power tradeoff algorithm for distributed satellite cluster (DSC), which enables the master satellite (MS) to offload data traffic to the slave satellite (SS). The SS provides power resource to the master satellite users (MSUs) with bandwidth as compensation. The purpose of the proposed algorithm is to maximize the energy efficiency (EE) of the SS while ensuring the QoS of the DSC. Considering data rate and bandwidth constraints of the MS, the SS jointly allocates bandwidth and power resources based on the served MSU set, meanwhile, data rate and power constraints of the SS should be also satisfied. We first prove that compensating bandwidth of a MSU can only be used by one slave satellite user. Then objective function is simplified to the equivalent subtractive form that can be solved by convex optimization method. Besides, we discuss the MSU selection conditions and employ them to the proposed spectrum-power tradeoff algorithm. The numerical results validate the performance improvement of the proposed algorithm and demonstrate the impact of power, bandwidth and data rate on the EE.

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Barnhart, D. J., Vladimirova, T., & Sweeting, M. N. (2007). Very-small-satellite design for distributed space missions. Journal of Spacecraft & Rockets,44(44), 1294–1306.CrossRef

Radhakrishnan, R., Edmonson, W. W., Afghah, F., Rodriguez-Osorio, R. M., Pinto, F., & Burleigh, S. C. (2016). Survey of inter-satellite communication for small satellite systems: Physical layer to network layer view. IEEE Communications Surveys & Tutorials,18(4), 2442–2473.CrossRef

Dong, F., Li, X., Yao, Q., He, Y., & Wang, J. (2015). Topology structure design and performance analysis on distributed satellite cluster networks. In 2015 4th international conference on computer science and network technology (ICCSNT) (vol. 1, pp. 881–884), IEEE.

Dong, F., Wang, J., Yang, J., & Cai, C. (2015). Distributed satellite cluster network: A survey. Journal of Donghua University (English Edition),32(2), 33.

Brown, O., Eremenko, P., & Collopy, P. (2009). Value-centric design methodologies for fractionated spacecraft: Progress summary from phase I of the DARPA system F6 program. In AIAA space 2009 conference and exposition (p. 6540).

Gayrard, J.-D., Zein-Alabedeen, T., Cotellessa, A., Gallinaro, G., Perrot, G., & Bertenyi, E. (2004). SkyLAN: A cluster of geostationnary satellites for broadband communications. In 22nd AIAA international communications satellite systems conference and exhibit 2004 (ICSSC) (p. 3233).

Collopy, P., & Sundberg, E. (2010). Creating value with space based group architecture. In AIAA space 2010 conference and exposition (p. 8799).

Calvel, B. (2000). Recent development in silicon carbide lightweight optics at Matra Marconi space. Next Generation Space Telescope Science and Technology,207, 435.

Zhong, X., Hao, Y., He, Y., & Huang, Y. (2017). Joint downlink power and time-slot allocation for distributed satellite cluster network based on Pareto optimization. IEEE Access,99, 1.

10.

Han, T., & Ansari, N. (2014). Enabling mobile traffic offloading via energy spectrum trading. IEEE Transactions on Wireless Communications,13(6), 3317–3328.CrossRef

11.

She, C., Yang, C., & Liu, L. (2015). Energy-efficient resource allocation for MIMO-OFDM systems serving random sources with statistical QoS requirement. IEEE Transactions on Communications,63(11), 4125–4141.CrossRef

12.

Xu, Y., Hu, R. Q., Qian, Y., & Znati, T. (2016). Video quality-based spectral and energy efficient mobile association in heterogeneous wireless networks. IEEE Transactions on Communications,64(2), 805–817.CrossRef

13.

Han, T., & Ansari, N. (2016). A traffic load balancing framework for software-defined radio access networks powered by hybrid energy sources. IEEE/ACM Transactions on Networking,24(2), 1038–1051.CrossRef

14.

Liu, X., Zhang, X., Jia, M., Fan, L., Lu, W., & Zhai, X. (2018). 5G-based green broadband communication system design with simultaneous wireless information and power transfer. Physical Communication,28, 130–137.CrossRef

15.

Liu, X., Jia, M., Zhang, X., & Lu, W. (2019). A novel multi-channel Internet of Things based on dynamic spectrum sharing in 5G communication. IEEE Internet of Things Journal,6(4), 5962–5970.CrossRef

16.

Chen, Y., Zhang, S., Xu, S., & Li, G. Y. (2011). Fundamental trade-offs on green wireless networks. IEEE Communications Magazine,49(6), 30–37.CrossRef

17.

Liu, X., & Zhang, X. (2019). Rate and Energy Efficiency Improvements for 5G-based IoT with Simultaneous Transfer. IEEE Internet of Things Journal,6(4), 5971–5980.CrossRef

18.

Meshkati, F., Poor, H. V., & Schwartz, S. C. (2007). Energy-efficient resource allocation in wireless networks. IEEE Signal Processing Magazine,24(3), 58–86.CrossRef

19.

Li, S., Ni, Q., Sun, Y., Min, G., & Al-Rubaye, S. (2018). Energy-efficient resource allocation for industrial cyber-physical IoT systems in 5G Era. IEEE Transactions on Industrial Informatics,14(6), 2618–2628.CrossRef

20.

Zhou, F., Wu, Y., Hu, R. Q., Wang, Y., & Wong, K. K. (2018). Energy-Efficient NOMA Enabled Heterogeneous Cloud Radio Access Networks. IEEE Network,32(2), 152–160.CrossRef

21.

Cheng, K, Teng, Y., Sun, W., Liu, A., & Wang, X. (2018). Energy-efficient joint offloading and wireless resource allocation strategy in multi-MEC server systems. In 2018 IEEE international conference on communications (ICC) (pp. 1–6).

22.

Zhou, Z., Dong, M., Ota, K., Shi, R., Liu, Z., & Sato, T. (2015). Game-theoretic approach to energy-efficient resource allocation in device-to-device underlay communications. IET Communications,9(3), 375–385.CrossRef

23.

You, C., Zeng, Y., Zhang, R., & Huang, K. (2018). Asynchronous mobile-edge computation offloading: energy-efficient resource management. IEEE Transactions on Wireless Communications,17(11), 7590–7605.CrossRef

24.

Deng, L., Rui, Y., Cheng, P., Zhang, J., Zhang, Q., & Li, M. (2012). A unified energy efficiency and spectral efficiency tradeoff metric in wireless networks. IEEE Communications Letters,17(1), 55–58.CrossRef

25.

Miao, G., Himayat, N., & Li, G. Y. (2010). Energy-efficient link adaptation in frequency-selective channels. IEEE Transactions on Communications,58(2), 545–554.CrossRef

26.

Wu, Q., Li, G. Y., Chen, W., & Ng, D. W. K. (2016). Energy-efficient small cell with spectrum-power trading. IEEE Journal on Selected Areas in Communications,34(12), 3394–3408.CrossRef

27.

Aravanis, A. I., Bhavani, S. M. R., Arapoglou, P. D., Danoy, G., Cottis, P. G., & Ottersten, B. (2015). Power allocation in multibeam satellite systems: A two-stage multi-objective optimization. IEEE Transactions on Wireless Communications,14(6), 3171–3182.CrossRef

28.

Michel, T., Thapa, B., & Taylor, S. (2013). 802.11 s based multi-radio multi-channel mesh networking for fractionated spacecraft. In 2013 IEEE aerospace conference (pp. 1–8), IEEE.

29.

Dong, F., He, Y., Nan, H., Zhang, Z., & Wang, J. (2015). System capacity analysis on constellation of interconnected HAP networks. In 2015 IEEE fifth international conference on big data and cloud computing (pp. 154–159), IEEE.

30.

Campbell, M. E. (2004). Collision monitoring within satellite clusters. IEEE Transactions on Control Systems Technology,13(1), 42–55.CrossRef

31.

Zhang, J. (2006). Research on autonomous formation reconfiguration techniques for distributed satellite systems. Changsha: Ph.D. Dissertation, University of Defense Technology.

32.

Guo, Y., Xu, J., Duan, L., & Zhang, R. (2014). Joint energy and spectrum cooperation for cellular communication systems. IEEE Transactions on Communications,62(10), 3678–3691.CrossRef

33.

Letzepis, N., & Grant, A. J. (2008). Capacity of the multiple spot beam satellite channel with Rician fading. IEEE Transactions on Information Theory,54(11), 5210–5222.MathSciNetCrossRef

34.

Arti, M. K. (2016). Channel estimation and detection in satellite communication systems. IEEE Transactions on Vehicular Technology,65(12), 10173–10179.CrossRef

35.

Abdi, A., Lau, W. C., Alouini, M. S., & Kaveh, M. (2003). A new simple model for land mobile satellite channels: first- and second-order statistics. IEEE Transactions on Wireless Communications,2(3), 519–528.CrossRef

36.

Ismail, M., Zhuang, W., Serpedin, E., & Qaraqe, K. (2015). A survey on green mobile networking: From the perspectives of network operators and mobile users. IEEE Communications Surveys & Tutorials,17(3), 1535–1556.CrossRef

37.

Wang, W., Zhao, S., Zheng, Y., & Li, Y. (2019). Resource allocation method of cognitive satellite terrestrial networks under non-ideal spectrum sensing. IEEE Access,7, 7957–7964.CrossRef

38.

Dinkelbach, W. (1967). On nonlinear fractional programming. Management Science,13(7), 492–498.MathSciNetCrossRef

39.

Boyd, S., & Vandenberghe, L. (2004). Convex optimization (p. 3). Cambrige: Cambrige University Press.CrossRef

40.

Corless, R. M., Jeffrey, D. J., & Knuth, D. E. (1997). A sequence of series for the Lambert W function. ISSAC,97, 197–204.MathSciNetCrossRef

41.

He, C., Sheng, B., Zhu, P., You, X., & Li, G. Y. (2013). Energy- and Spectral-Efficiency Tradeoff for Distributed Antenna Systems with Proportional Fairness. IEEE Journal on Selected Areas in Communications,31(5), 894–902.CrossRef

42.

Bazaraa, M. S., Sherali, H. D., & Shetty, C. M. (2013). Nonlinear programming: Theory and algorithms. Hoboken: Wiley.MATH

43.

Ngo, D. T., Khakurel, S., & Le-Ngoc, T. (2014). Joint subchannel assignment and power allocation for OFDMA femtocell networks. IEEE Transactions on Wireless Communications,13(1), 342–355.CrossRef

44.

Ng, D. W. K., Lo, E. S., & Schober, R. (2012). Energy-efficient resource allocation in multi-cell OFDMA systems with limited backhaul capacity. IEEE Transactions on Wireless Communications,11(10), 3618–3631.CrossRef

45.

Wu, Q., Tao, M., Ng, D. W. K., Chen, W., & Schober, R. (2016). Energy-efficient resource allocation for wireless powered communication networks. IEEE Transactions on Wireless Communications,15(3), 2312–2327.CrossRef

Title: Energy efficiency resource allocation based on spectrum-power tradeoff in distributed satellite cluster network
Authors: Weilong Wang
Jun Wei
Shanghong Zhao
Yongjun Li
Yongxing Zheng
Publication date: 04-05-2020
Publisher: Springer US
Published in: Wireless Networks / Issue 6/2020
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI: https://doi.org/10.1007/s11276-020-02349-5

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