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In this paper, d-AdaptOR, a distributed opportunistic routing scheme for multi-hop wireless ad-hoc networks is proposed. The proposed scheme utilizes a reinforcement learning framework to achieve the optimal performance adaptively even in the absence of reliable knowledge about channel statistics and network model. The scheme extends an earlier proposed scheme which relied on centralized computation...
In this paper, an adaptive opportunistic routing scheme for multi-hop wireless ad-hoc networks is proposed. The proposed scheme utilizes a reinforcement learning framework to achieve the optimal performance even in the absence of reliable knowledge about channel statistics and network model. This scheme is shown to be optimal with respect to an expected average per packet cost criterion. The proposed...
In this paper, we propose a novel asynchronous media access control (MAC) protocol, opportunistic MAC (OMAC), for multiple input multiple output (MIMO) ad-hoc networks. The proposed solution is based on closed loop minimal feedback antenna selection diversity scheme and optimum receive combining. The use of antenna selection diversity contributes to a reduction in the feedback information and the...
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