Estimation of capabilities of cooperative CubeSat systems based on Alamouti transmission scheme

Gibalina, Z. S.; Fadeev, Vladimir; Korsukova, K. A.; Hennhofer, M.; Haardt, Martin

doi:10.1109/synchroinfo.2018.8456940

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, cooperativecommunication techniques can be employed for CubeSats, whereby different spatially-distributed spacecrafts, each with a single antenna, work together as a virtual entity. In this regard, a space-time-based scheme, i.e., Alamouti's code, was proposed in [116] for CubeSats to achieve high-diversity gain. The BER performance of distributed 2 × 2 MIMO and 2 × 1 multiple-input single-output (MISO) schemes was simulated for various channel codes (convolutional, Reed-Solomon, LDPC, and turbo codes).…”

Section: Modulation and Codingmentioning

confidence: 99%

CubeSat Communications: Recent Advances and Future Challenges

Saeed¹,

Elzanaty²,

Almorad³

et al. 2020

IEEE Commun. Surv. Tutorials

231

142

View full text Add to dashboard Cite

Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as Cube-Sats, which are enticing because of their numerous applications and low design-and-deployment cost. The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity. CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system. This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives. We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking. Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.

show abstract

Section: Modulation and Codingmentioning

confidence: 99%

CubeSat Communications: Recent Advances and Future Challenges

Saeed¹,

Elzanaty²,

Almorad³

et al. 2020

IEEE Commun. Surv. Tutorials

231

142

View full text Add to dashboard Cite

show abstract

“…Therefore, cooperativecommunication techniques for CubeSats can be employed, where different spatially-distributed spacecrafts (each with single antenna) work together as a virtual entity. In this regard, a space-time based scheme (i.e., Alamouti's code) was proposed in [84] for CubeSats to achieve high diversity gain. The BER performance of distributed 2 × 2 MIMO and 2 × 1 multipleinput single-output (MISO) schemes was simulated for various channel codes (e.g., convolutional, Reed-Solomon, LDPC, and turbo codes).…”

Section: Modulation and Codingmentioning

confidence: 99%

CubeSat Communications: Recent Advances and Future Challenges

Saeed¹,

Elzanaty²,

Dahrouj³

et al. 2020

Preprint

View full text Add to dashboard Cite

The research in the emerging space industry is becoming more and more attractive, given the increasing number of space-related applications. One primary entity of current space research is the design of miniaturized satellites, known as CubeSats, due to their numerous applications and low design and deployment cost. The new paradigm of connected space through CubeSats enables a wide range of applications such as Earth remote sensing, space exploration, and rural connectivity. CubeSats further provide a complimentary connectivity solution to the pervasive Internet of things (IoT) networks, leading to a globally connected cyber-physical system. This paper presents a holistic overview of different aspects of CubeSat missions, and provides a thorough review on the topic, both from academic and industrial perspectives. We further present the recent advances in the area of CubeSats communications with an emphasis on constellation and coverage issues, channel modeling, modulation and coding, and networking. The paper finally identifies several future research directions on CubeSats communications, namely Internet of space things, low power long range networks, machine learning for resource allocation in CubeSats, etc.

show abstract