期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 18, 期 10, 页码 4957-4969出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2019.2931321
关键词
Cognitive satellite terrestrial networks; delay quality-of-service requirements; effective energy efficiency; interference constraints; outage performance
资金
- National Key Research and Development Program of China [254, 2018YFB1801101]
- National Natural Science Foundation of China [61771365]
- Natural Science Foundation of Shaanxi Province [2017JZ022]
- Postdoctoral Science Foundation of China [30101180044]
- 111 Project [B08038]
- Fundamental Research Funds for the Central Universities [JBF180101, 2242019R30001]
- EU H2020 RISE TESTBED Project [734325]
With the ever increasing spectrum demand of broadband multimedia services, cognitive satellite terrestrial networks have emerged as a promising paradigm for future space information networks. To provide services with diverse delay quality-of-service (QoS) requirements in an energy-limited system, in this paper, we investigate energy efficient power allocation for cognitive satellite terrestrial networks. Employing statistical delay-QoS metric, power allocation schemes are formulated as optimization problems to maximize effective energy efficiency of secondary satellite communications while satisfying interference constraints imposed by primary terrestrial communications. Specifically, allowing for the availability of instantaneous channel state information (CSI) of the secondary transmitter-primary receiver link, optimal transmit powers are derived for both the cases of statistical and instantaneous interference constraints. Moreover, to provide a theoretical insight on the performance of the considered network, we derive closed-form expressions for the outage probability based on the obtained optimal transmit powers. The simulation results demonstrate the validity of the theoretical results and show the impacts of the delay exponent, interference constraint, and aggregate interference from terrestrial networks on the performance of satellite networks.
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