Ka‐band link optimization with rate adaptation for Mars and lunar communications

Abstract

SUMMARYOn-going development of Ka-band capability for the Deep Space Networks (DSN) will radically increase the bandwidth available to support advanced mission concepts envisioned for future robotic as well as human exploration of Mars and beyond. While Ka-band links can operate at much higher data rate than X-band, they are much more susceptible to fluctuating weather conditions and manifest a significant tradeoff between throughput and availability. If the operating point is fixed, the maximum average throughput for deep space Ka-band link is achieved at about 80% availability, i.e. weather-related outages will occur about 20% of the time. Low availability increases the complexity of space mission operation, while higher availability would require additional link margins that lowers the overall throughput. To improve this fundamental throughput-availability trade-off, data rate adaptation based on real-time observation of the channel condition is necessary.In this paper, we model the Ka-band channel using a Markov process to capture the impact of the temporal correlation in weather conditions. We then develop a rate adaptation algorithm to optimize the data rate based on real time feedback on the measured channel conditions. Our algorithm achieves both higher throughput and link availability as compared to the constant rate scheme presently in use.

Game theoretical analysis of the tradeoff between QoE and QoS over satellite channels

“…Such mechanisms include the design of transmission rate adaptation schemes to utilize and adapt to the dynamic satellite environment [1], [2]. These rate adaptation schemes are designed on the basis of various factors like satisfaction of the end users' demands, optimization of resource utilization etc..…”