Share Email Print
cover

Proceedings Paper

Spectrum and power allocation in cognitive multi-beam satellite communications with flexible satellite payloads
Author(s): Zhihui Liu; Haitao Wang; Tao Dong; Jie Yin; Tingting Zhang; Hui Guo; Dequan Li
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, the cognitive multi-beam satellite system, i.e., two satellite networks coexist through underlay spectrum sharing, is studied, and the power and spectrum allocation method is employed for interference control and throughput maximization. Specifically, the multi-beam satellite with flexible payload reuses the authorized spectrum of the primary satellite, adjusting its transmission band as well as power for each beam to limit its interference on the primary satellite below the prescribed threshold and maximize its own achievable rate. This power and spectrum allocation problem is formulated as a mixed nonconvex programming. For effective solving, we first introduce the concept of signal to leakage plus noise ratio (SLNR) to decouple multiple transmit power variables in the both objective and constraint, and then propose a heuristic algorithm to assign spectrum sub-bands. After that, a stepwise plus slice-wise algorithm is proposed to implement the discrete power allocation. Finally, simulation results show that adopting cognitive technology can improve spectrum efficiency of the satellite communication.

Paper Details

Date Published: 20 February 2018
PDF: 9 pages
Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 1069756 (20 February 2018); doi: 10.1117/12.2307074
Show Author Affiliations
Zhihui Liu, Beijing Institute of Satellite Information Engineering (China)
Haitao Wang, Beijing Institute of Satellite Information Engineering (China)
Tao Dong, Beijing Institute of Satellite Information Engineering (China)
Jie Yin, Beijing Institute of Satellite Information Engineering (China)
Tingting Zhang, Beijing Institute of Satellite Information Engineering (China)
Hui Guo, Beijing Institute of Satellite Information Engineering (China)
Dequan Li, Beijing Institute of Satellite Information Engineering (China)


Published in SPIE Proceedings Vol. 10697:
Fourth Seminar on Novel Optoelectronic Detection Technology and Application
Weiqi Jin; Ye Li, Editor(s)

© SPIE. Terms of Use
Back to Top