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A key challenge for enabling Machine-to-Machine (M2M) communications in Long Term Evolution (LTE) networks is the intolerably low access efficiency in the presence of massive access requests. To address this issue, a new analytical framework is proposed in this paper to optimize the random access performance of M2M communications in LTE networks. Both the maximum network throughput and the corresponding...
In this paper, a unified analytical approach is developed to characterize the stability and delay performance of buffered Aloha networks. It is demonstrated that a buffered Aloha network can be stabilized if backoff parameters are properly selected. The stable region of backoff factor q is derived and shown to be enlarged by increasing the cutoff phase K. With Geometric Retransmission (K{=}1), for...
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