Opportunistic Channel Access Using Reinforcement Learning in Tiered CBRS Networks

Author(s):  
Matthew Tonnemacher ◽  
Chance Tarver ◽  
Vikram Chandrasekhar ◽  
Hao Chen ◽  
Pengda Huang ◽  
...  
Author(s):  
Zuohong Xu ◽  
Zhou Zhang ◽  
Shilian Wang ◽  
Alireza Jolfaei ◽  
Ali Kashif Bashir ◽  
...  

2014 ◽  
Vol 16 (1) ◽  
pp. 56-66 ◽  
Author(s):  
Sivasothy Senthuran ◽  
Alagan Anpalagan ◽  
Hyung Yun Kong ◽  
Ashok Karmokar ◽  
Olivia Das

Author(s):  
Viswanathan Arunachalam ◽  
Alvaro Calvache ◽  
Ayşe Tansu

Availability function which forms an important part of reliability analysis is expressed in terms of an integral equation. The analytical solution of such an equation is possible only in very simple cases and hence approximations are the only tools available; very few such approximations are available in the literature. This paper proposes three useful approximations, two of which are based only on the first few moments of the underlying distributions and do not require their functional forms. The third approximation uses the Riemannian sum to approximate the integral equation. Numerical illustrations based on test cases are provided to show the efficacy of the approximations. As an application, the problem of an opportunistic channel access scheme in a communication network is used to test the approximations.


Frequenz ◽  
2015 ◽  
Vol 69 (3-4) ◽  
Author(s):  
Lei Dong ◽  
Yongchao Wang

AbstractIn this paper, a distributed opportunistic channel access strategy in ad hoc network is proposed. We consider the multiple sources contend for the transmission opportunity, the winner source decides to transmit or restart contention based on the current channel condition. Owing to real data assumption at all links, the decision still needs to consider the stability of the queues. We formulate the channel opportunistic scheduling as a constrained optimization problem which maximizes the system average throughput with the constraints that the queues of all links are stable. The proposed optimization model is solved by Lyapunov stability in queueing theory. The successive channel access problem is decoupled into single optimal stopping problem at every frame and solved with


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