scholarly journals Polarized MIMO Slotted ALOHA Random Access Scheme in Satellite Network

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 26354-26363 ◽  
Author(s):  
Jialing Bai ◽  
Guangliang Ren
Keyword(s):  
Random Access ◽  
Satellite Network ◽  
Slotted Aloha ◽  
Access Scheme

scholarly journals An Intelligent Load Control-Based Random Access Scheme for Space-Based Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1040
Author(s):  
Changjiang Fei ◽  
Bin Jiang ◽  
Kun Xu ◽  
Lei Wang ◽  
Baokang Zhao
Keyword(s):  
Internet Of Things ◽  
Random Access ◽  
Critical Value ◽  
Load Control ◽  
Contention Resolution ◽  
Slotted Aloha ◽  
Load Range ◽  
Theoretical Maximum ◽  
Network Load ◽  
Access Scheme

Random access is one of the most competitive multiple access schemes for future space-based Internet of Things (S-IoT) due to its support for massive connections and grant-free transmission, as well as its ease of implementation. However, firstly, existing random access schemes are highly sensitive to load: once the load exceeds a certain critical value, the throughput will drop sharply due to the increased probability of data collision. Moreover, due to variable satellite coverage and bursty traffic, the network load of S-IoT changes dynamically; therefore, when existing random access schemes are applied directly to the S-IoT environment, the actual throughput is far below the theoretical maximum. Accordingly, this paper proposes an intelligent load control-based random access scheme based on CRDSA++, which is an enhanced version of the contention resolution diversity slotted ALOHA (CRDSA) and extends the CRDSA concept to more than two replicas. The proposed scheme is dubbed load control-based three-replica contention resolution diversity slotted ALOHA (LC-CRDSA3). LC-CRDSA3 actively controls network load. When the load threatens to exceed the critical value, only certain nodes are allowed to send data, and the load is controlled to be near the critical value, thereby effectively improving the throughput. In order to accurately carry out load control, we innovatively propose a maximum likelihood estimation (MLE)-based load estimation algorithm, which estimates the load value of each received frame by making full use of the number of time slots in different states. On this basis, LC-CRDSA3 adopts computational intelligence-based time series forecasting technology to predict the load values of future frames using the historical load values. We evaluated the performance of LC-CRDSA3 through a series of simulation experiments and compared it with CRDSA++. Our experimental results demonstrate that in S-IoT contexts where the load changes dynamically, LC-CRDSA3 can obtain network throughput that is close to the theoretical maximum across a wide load range through accurate load control.

Modeling and Estimation of One-Shot Random Access for Finite-User Multichannel Slotted ALOHA Systems

2012 ◽  
Vol 16 (8) ◽  
pp. 1196-1199 ◽  
Author(s):  
Chia-Hung Wei ◽  
Ray-Guang Cheng ◽  
Shiao-Li Tsao
Keyword(s):  
Random Access ◽  
Slotted Aloha

A Centralized Preamble Detection-Based Random Access Scheme for LTE CoMP Transmission

2016 ◽  
Vol 65 (7) ◽  
pp. 5200-5211 ◽  
Author(s):  
Qiwei Wang ◽  
Guangliang Ren ◽  
Jueying Wu
Keyword(s):  
Random Access ◽  
Access Scheme
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