面向低轨卫星的长时多星跳波束功率分配技术

doi:10.11959/j.issn.2096-8930.2023041

Abstract

Abstract:

LEO satellites have superior development prospects due to their low cost, low latency and small path loss, and are widely used in IoT, B5G and other fields.For the LEO satellite and its coverage area will be in a moving state, a convex optimization-based long-time multi-star beam hopping power allocation algorithm was proposed to maximize the system capacity.Focused on the multi-star hopping beam scenario over a period of time, a system model was developed based on the long-time co-orbital multi-star hopping beam scenario and the long-time heterodyne multi-star hopping beam scenario respectively.The resource allocation algorithm was designed for the two long-time multi-star hopping beams with the weighted objective function as the optimization objective, considered the influence factors of inter-star interference, load balancing and inter-star resource allocation priority, a long-time skipping beam resource allocation algorithm based on convex optimization was proposed.The simulation results showed that the proposed scheme could improve the resource utilization of the system compared with the conventional schemes.

Key words: LEO satellites, beam hopping technology, power allocation

CLC Number:

TP393

Ziyi LIU, Xiaoning ZHANG, Zesong FEI. Power Allocation Technology of Long Time Multi-Star Hopping Beam for LEO Satellite[J]. Space-Integrated-Ground Information Networks, 2023, 4(4): 38-48.

Figures/Tables 9

仿真参数	数值
轨道高度h /km	600
子波束半径r/km	5
单星覆盖总小区数M /个	19
单星最大跳波束总数N_max /个	4
多星覆盖重叠小区数n /个	（同轨）4
多星覆盖重叠小区数n /个	（异轨）3/10/19
载波频率 f /GHz	20
单星系统带宽B_tot /MHz	400
单星总发射功率P_tot/W	100
最大单波束功率P_sb/W	30
时隙长度T_slot /ms	10
时间分片总数/个	（同轨）10
时间分片总数/个	（异轨）5
初始业务需求总量D /（Gbit·s^-1）	4
业务需求增量D_seg/（Gbit·s^-1）	1.7
权重系数 ${ω_{1}, ω_{2}, ω_{3}, ω_{4}, ω_{5}}$	[5 1 1 1 1]

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