Broadband satellites, operating at Ka band and above, are playing more and more important roles in future satellite networks. Meanwhile, rain attenuation is the dominant impairment in these bands. In this context, a dynamic power allocation scheme based on rain attenuation prediction is proposed. By this scheme, the system can dynamically adjust the allocated power according to the time-varying predicted rain attenuation. Extensive simulation results demonstrate the improvement of the dynamic scheme over the static allocation. It can be concluded that the allocated capacities match the traffic demands better by introducing such dynamic power allocation scheme and the waste of power resources is also avoided.
Shengchao SHI
PLA University of Science and Technology
Guangxia LI
PLA University of Science and Technology
Zhiqiang LI
PLA University of Science and Technology
Bin GAO
PLA University of Science and Technology
Zhangkai LUO
PLA University of Science and Technology
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Shengchao SHI, Guangxia LI, Zhiqiang LI, Bin GAO, Zhangkai LUO, "Dynamic Power Allocation Based on Rain Attenuation Prediction for High Throughput Broadband Satellite Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 9, pp. 2038-2043, September 2017, doi: 10.1587/transfun.E100.A.2038.
Abstract: Broadband satellites, operating at Ka band and above, are playing more and more important roles in future satellite networks. Meanwhile, rain attenuation is the dominant impairment in these bands. In this context, a dynamic power allocation scheme based on rain attenuation prediction is proposed. By this scheme, the system can dynamically adjust the allocated power according to the time-varying predicted rain attenuation. Extensive simulation results demonstrate the improvement of the dynamic scheme over the static allocation. It can be concluded that the allocated capacities match the traffic demands better by introducing such dynamic power allocation scheme and the waste of power resources is also avoided.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2038/_p
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@ARTICLE{e100-a_9_2038,
author={Shengchao SHI, Guangxia LI, Zhiqiang LI, Bin GAO, Zhangkai LUO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Dynamic Power Allocation Based on Rain Attenuation Prediction for High Throughput Broadband Satellite Systems},
year={2017},
volume={E100-A},
number={9},
pages={2038-2043},
abstract={Broadband satellites, operating at Ka band and above, are playing more and more important roles in future satellite networks. Meanwhile, rain attenuation is the dominant impairment in these bands. In this context, a dynamic power allocation scheme based on rain attenuation prediction is proposed. By this scheme, the system can dynamically adjust the allocated power according to the time-varying predicted rain attenuation. Extensive simulation results demonstrate the improvement of the dynamic scheme over the static allocation. It can be concluded that the allocated capacities match the traffic demands better by introducing such dynamic power allocation scheme and the waste of power resources is also avoided.},
keywords={},
doi={10.1587/transfun.E100.A.2038},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Dynamic Power Allocation Based on Rain Attenuation Prediction for High Throughput Broadband Satellite Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2038
EP - 2043
AU - Shengchao SHI
AU - Guangxia LI
AU - Zhiqiang LI
AU - Bin GAO
AU - Zhangkai LUO
PY - 2017
DO - 10.1587/transfun.E100.A.2038
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2017
AB - Broadband satellites, operating at Ka band and above, are playing more and more important roles in future satellite networks. Meanwhile, rain attenuation is the dominant impairment in these bands. In this context, a dynamic power allocation scheme based on rain attenuation prediction is proposed. By this scheme, the system can dynamically adjust the allocated power according to the time-varying predicted rain attenuation. Extensive simulation results demonstrate the improvement of the dynamic scheme over the static allocation. It can be concluded that the allocated capacities match the traffic demands better by introducing such dynamic power allocation scheme and the waste of power resources is also avoided.
ER -