We consider a random access network consisting of source-destination pairs. Each source node generates status updates and transmits this information to its intended destination over a shared spectrum. The goal is to minimize the network-wide Age of Information (AoI). We develop a frame slotted ALOHA (FSA)-based policy for generating and transmitting status updates, where the frame size of each source node is adjusted according to its local environment. The proposed policy is of low complexity and can be implemented in a distributed manner. Additionally, it significantly improves the network AoI performance by (a) equalizing the update generation intervals at each source and (b) reducing interference across the network. Furthermore, we derive an analytical expression for the average network AoI attained for that policy. We evaluate the performance of the proposed scheme through simulations, which demonstrate that the locally adaptive FSA policy achieves a remarkable gain in terms of AoI compared to the slotted ALOHA counterpart, confirming the effectiveness of the proposed method.

翻译：考虑一个由源-目标对组成的随机接入网络。每个源节点生成状态更新，并通过共享频谱将其信息传输至预定目标。目标是最小化全网信息年龄（AoI）。我们提出一种基于帧时隙ALOHA（FSA）的策略，用于生成和传输状态更新，其中每个源节点的帧大小根据其本地环境进行调整。所提策略具有低复杂度，且可分布式实现。此外，它通过（a）均衡各源节点的更新生成间隔和（b）减少网络干扰，显著提升了网络AoI性能。进一步地，我们推导出该策略下平均网络AoI的解析表达式。通过仿真对所提方案进行性能评估，结果表明，与纯时隙ALOHA相比，局部自适应FSA策略在AoI方面取得了显著增益，验证了该方法的有效性。