To achieve better connectivity in future communication networks, the deployment of different types of access points (APs) is underway. APs are expected to be equipped with self-organizing capabilities to reduce costs. Moreover, due to the spectrum crunch, frequency reuse among the deployed APs is inevitable, exacerbating the problem of inter-cell interference (ICI). Therefore, ICI mitigation in self-organizing networks (SONs) is commonly identified as a key radio resource management mechanism to enhance performance. To this end, this paper proposes a novel solution for the uncoordinated channel and power allocation problems. Based on the multi-armed bandits (MAB) framework, the proposed technique does not require any communication between the APs. The case of varying channel rewards across APs is considered. In contrast to previous work on channel allocation using the MAB framework, APs are permitted to choose multiple channels for transmission. Moreover, non-orthogonal multiple access is used, allowing multiple APs to access each channel simultaneously. This results in an MAB model with varying channel rewards, multiple plays and non-zero reward on collision. The proposed algorithm has an expected regret in the order of $\mathcal {O}(\log ^{2}T)$ , with extensive numerical results revealing it significantly outperforms a well-known baseline algorithm in terms of energy efficiency.

中文翻译：

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使用随机多臂强盗在基于 NOMA 的自组织网络中分配资源

为了在未来的通信网络中实现更好的连接，不同类型的接入点 (AP) 的部署正在进行中。预计 AP 将配备自组织功能以降低成本。此外，由于频谱紧缩，部署的AP之间的频率复用是不可避免的，加剧了小区间干扰（ICI）问题。因此，自组织网络 (SON) 中的 ICI 缓解通常被认为是提高性能的关键无线电资源管理机制。为此，本文针对不协调的信道和功率分配问题提出了一种新的解决方案。基于多臂强盗 (MAB) 框架，所提出的技术不需要 AP 之间的任何通信。考虑了跨 AP 的不同信道奖励的情况。与之前使用 MAB 框架进行信道分配的工作相比，AP 可以选择多个信道进行传输。此外，使用非正交多址，允许多个AP同时访问每个信道。这导致 MAB 模型具有不同的通道奖励、多次播放和碰撞时的非零奖励。所提出的算法有一个预期的遗憾，顺序为 $\mathcal {O}(\log ^{2}T)$ ，大量的数值结果表明它在能源效率方面明显优于众所周知的基线算法。