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Achieving Maximum Throughput in Random Access Protocols with Multipacket Reception

机译:通过多分组接收在随机访问协议中实现最大吞吐量

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This paper considers random access protocols with multipacket reception (MPR), which include both slotted-Aloha and slotted $(tau)$-persistent CSMA protocols. For both protocols, each node makes a transmission attempt in a slot with a given probability. The goals of this paper are to derive the optimal transmission probability maximizing a system throughput for both protocols and to develop a simple random access protocol with MPR, which achieves a system throughput close to the maximum value. To this end, we first obtain the optimal transmission probability of a node in the slotted-Aloha protocol. The result provides a useful guideline to help us develop a simple distributed algorithm for estimating the number of active nodes. We then obtain the optimal transmission probability in the $(tau)$-persistent CSMA protocol. An in-depth study on the relation between the optimal transmission probabilities in both protocols shows that under certain conditions the optimal transmission probability in the slotted-Aloha protocol is a good approximation for the $(tau)$-persistent CSMA protocol. Based on this result, we propose a simple $(tau)$-persistent CSMA protocol with MPR which dynamically adjusts the transmission probability $(tau)$ depending on the estimated number of active nodes, and thus can achieve a system throughput close to the maximum value.
机译:本文考虑了具有多数据包接收(MPR)的随机访问协议,其中包括带时隙的Aloha和带时隙的(tau)$持久CSMA协议。对于这两种协议,每个节点都以给定的概率在时隙中进行传输尝试。本文的目的是获得使两种协议的系统吞吐量最大化的最佳传输概率,并开发一种具有MPR的简单随机访问协议,该协议可实现接近最大值的系统吞吐量。为此,我们首先获得时隙Aloha协议中节点的最佳传输概率。结果提供了有用的指导,可帮助我们开发一种简单的分布式算法来估计活动节点的数量。然后,我们在(tau)$持久CSMA协议中获得最佳传输概率。对这两种协议中最佳传输概率之间关系的深入研究表明,在某些条件下,时隙Aloha协议中的最佳传输概率可以很好地近似于(tau)$持久CSMA协议。基于此结果,我们提出了一种简单的具有MPR的持久性CSMA协议,该协议可以根据估计的活动节点数动态地调整传输概率$ tau,从而可以实现接近吞吐量的系统吞吐量。最大值。

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