Dynamic MODCOD and power allocation in DVB-S2: a hybrid intelligent approach

Atta-ur Rahman, Sujata Dash () and Ashish Kr. Luhach
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Atta-ur Rahman: Imam Abdulrahman Bin Faisal University (IAU)
Sujata Dash: North Orissa University
Ashish Kr. Luhach: The PNG University of Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2021, vol. 76, issue 1, No 5, 49-61

Abstract: Abstract Adaptive communication for is one of the hottest areas of research in the telecommunication systems including wireless broadcast systems. This is primarily accomplished for sake of boosting the transmission throughput with enhanced quality of service and ideal link utilization. In adaptive communication, various radio transmission parameters like modulation symbol, code-rate and power etc. are carefully chosen according to the erratic channel state information on the link. Digital video broadcast—second generation (DVB-S2) has an inbuilt support for adaptive coding and modulation (ACM). However, power adaptation is still a necessity because of power constraint in downlink where satellite has a limited power bank. Moreover, different downlinks have distinct transmit power requirements due to diverse ambient on earth receivers like rainy, foggy, stormy and with clear sky etc., hence flat transmit power distribution among all the ground receivers may not be a good idea at all. To utilize the ACM feature in DVB-S2 and to additionally adapt power, in this paper, an adaptive modulation, coding (MODCOD) and power scheme is proposed. By investigating a fuzzy system and differential evolution algorithm, to select the set of MODCODs and optimum power vector, respectively, for the next transmission interval. From the simulation results it is apparent that the proposed scheme is promising in terms of efficient link and transmit power utilization as well as quality of service compared to the schemes in the literature with flat power distribution.

Keywords: MODCOD; DVB-S2; DE; FRBS; ACM; Adaptive power; QoS (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11235-020-00700-x

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