An overview of multi-antenna technologies for space-ground integrated networks

Gao, Lei; Zhang, Shuo; Liu, Ziyao; Lin, Jinyong; Wang, Shuai; Xing, Chengwen

doi:10.1007/s11432-016-0588-8

Cited by 10 publications

(4 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is observed in (39) that the parameters A and θ are seperated from each other. This allows the estimations of A and θ to be decoupled into the two independent problems, i.e.,…”

Section: =E[log P(y|h θ)P(θ)] + E[log P(h|a B)p(a)] (39)mentioning

confidence: 99%

“…In recent years, the MIMO transmission has been widely applied in the terrestrial wireless networks [36], and massive MIMO can bring huge improvements in throughput and enhance spectral efficiency [37], [38]. However, due to the limited on-board processing capacity and instinct channel characteristics, employing the MIMO or even massive MIMO in satellite communications is still an open and challenging task [39]. Fortunately, there have been some efforts towards this goal.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Random Access with Massive MIMO-OTFS in LEO Satellite Communications

Shen,

Wu,

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

This paper considers the joint channel estimation and device activity detection in the grant-free random access systems, where a large number of Internet-of-Things devices intend to communicate with a low-earth orbit satellite in a sporadic way. In addition, the massive multiple-input multipleoutput (MIMO) with orthogonal time-frequency space (OTFS) modulation is adopted to combat the dynamics of the terrestrialsatellite link. We first analyze the input-output relationship of the single-input single-output OTFS when the large delay and Doppler shift both exist, and then extend it to the grant-free random access with massive MIMO-OTFS. Next, by exploring the sparsity of channel in the delay-Doppler-angle domain, a two-dimensional pattern coupled hierarchical prior with the sparse Bayesian learning and covariance-free method (TDSBL-FM) is developed for the channel estimation. Then, the active devices are detected by computing the energy of the estimated channel. Finally, the generalized approximate message passing algorithm combined with the sparse Bayesian learning and twodimensional convolution (ConvSBL-GAMP) is proposed to decrease the computations of the TDSBL-FM algorithm. Simulation results demonstrate that the proposed algorithms outperform conventional methods.

show abstract

“…It is observed in (39) that the parameters A and θ are seperated from each other. This allows the estimations of A and θ to be decoupled into the two independent problems, i.e.,…”

Section: =E[log P(y|h θ)P(θ)] + E[log P(h|a B)p(a)] (39)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Random Access with Massive MIMO-OTFS in LEO Satellite Communications

Shen,

Wu,

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…With the beamforming techniques, on one hand, the performance requirements on each antenna and RF circuit can be relaxed, while on the other hand, the in-band interference can be greatly suppressed [5,6]. With above attributes, MIMO and beamforming can be employed at both the user equipment (UE) and base station (BS) to increase the link budget robustness [7], serving several users simultaneously and achieving high energy and spectral efficiency [3,6,[8][9][10]. To fully exploit the antenna array performance and achieve commercial success, it is important to realize the 5G mmWave system in an energy-and cost-efficient way with a small form factor.…”

Section: Introductionmentioning

confidence: 99%

mmWave communications for 5G: implementation challenges and advances

Wang

Niu

et al. 2018

Sci. China Inf. Sci.

View full text Add to dashboard Cite

An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications SCIENCE CHINA Information Sciences 59, 081301 (2016); An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications SCIENTIA SINICA Informationis 46, 3 (2016); 6-100 GHz research progress and challenges from a channel perspective for fifth generation (5G) and future wireless communication SCIENCE CHINA Information Sciences 60, 080301 (2017); SCIENCE CHINA Information Sciences

show abstract

“…Space-ground integrated network (SGIN) 1,2 is a highly heterogeneous complex network which adopts satellite network as backbone network and consists of deepspace network, near-space network, and terrestrial network. It has received increasing attentions 1,2 for its potential in achieving all-round development of strategic information services in fields such as national security, aerospace engineering, and military. However, its natures of limited resources, frequent handovers, and intermittently connected links greatly reduce quality of service (QoS) of SGIN.…”

Section: Introductionmentioning

confidence: 99%

A quality-of-service-aware dynamic evolution model for space–ground integrated network

Yi¹,

Du²,

Liao³

et al. 2017

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Space-ground integrated network, a strategic, driving, and irreplaceable infrastructure, guarantees the development of economic and national security. However, its natures of limited resources, frequent handovers, and intermittently connected links significantly reduce the quality of service. To address this issue, a quality-of-service-aware dynamic evolution model is proposed based on complex network theory. On one hand, a quality-of-service-aware strategy is adopted in the model. During evolution phases of growth and handovers, links are established or deleted according to the qualityof-service-aware preferential attachment following the rule of better quality of service getting richer and worse quality of service getting poor or to die. On the other hand, dynamic handover of nodes and intermittent connection of links are taken into account and introduced into the model. Meanwhile, node heterogeneity is analyzed and heterogeneous nodes are endowed with discriminate interactions. Theoretical analysis and simulations are utilized to explore the degree distribution and its characteristics. Results reveal that this model is a scale-free model with drift power-law distribution, fat-tail and small-world effect, and drift character of degree distribution results from dynamic handover. Furthermore, this model exerts well fault tolerance and attack resistance compared to signal-strength-based strategy. In addition, node heterogeneity and quality-of-service-aware strategy improve the attack resistance and overall quality of service of space-ground integrated network.

show abstract

An overview of multi-antenna technologies for space-ground integrated networks

Cited by 10 publications

References 69 publications

Random Access with Massive MIMO-OTFS in LEO Satellite Communications

Random Access with Massive MIMO-OTFS in LEO Satellite Communications

mmWave communications for 5G: implementation challenges and advances

A quality-of-service-aware dynamic evolution model for space–ground integrated network

Contact Info

Product

Resources

About