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This paper studies the potential of a novel approach to ensure more efficient and intelligent assignment of capacity through medium access control (MAC) in practical wireless sensor networks. Q-Learning is employed as an intelligent transmission strategy. We review the existing MAC protocols in the context of Q-learning. A recently-proposed, ALOHA and Q-Learning based MAC scheme, ALOHA-Q, is considered...
This paper investigates the coexistence of M2M and H2H based traffic sharing the RACH of an existing cellular network. Q-learning is applied to control the RACH access of the M2M devices which enables collision free access amongst the M2M user group. Frame ALOHA for a Q-learning RACH access (FA-QL-RACH) is proposed to realise a collision free RACH access between the H2H and M2M user groups. The scheme...
This paper introduces a novel back-off scheme to improve the performance of a Q-learning based RACH access (QL-RACH) scheme. A Frame-based Back-off with QL-RACH (FB-QL-RACH) scheme is proposed. The scheme reduces the probability of collision between Human-to-Human (H2H) and Machine-to-Machine (M2M) users when sharing the same frame for both the initial access and the back-off. Also the probability...
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