论文标题
跨层频段选择和针对各种频段感知DSA网络的路由设计
Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks
论文作者
论文摘要
随着几个新的频谱频段正在开放供共享使用，因此出现了\ textit {多样的频段感知动态频谱}（d-dsa）的新范式。 D-DSA在\ textit {多个频段}中使用软件定义的无线电（SDR）配备辅助设备，并利用Whitespaces（或闲置通道），包括但不限于电视，LTE，LTE，公民宽带无线电服务（CBRS），无限制的ISM。在本文中，我们建议使用此类D-DSA网络的基于跨层频段选择和路由设计（BARD）的分散，在线多代理学习。吟游诗人不仅在多个光谱频段中利用空格，而且还考虑了这些频段的独特电磁特性，以最大程度地提高异构消息数据包的所需服务质量（QOS）要求；同时也确保对利用频段中的主要用户没有有害干扰。我们的广泛实验表明，吟游诗人的表现优于基线DDSAAR算法，但对于不同数量的主要用户和二级用户，在相对较高的网络潜伏期方面，bard的表现就胜过了。此外，在所有被考虑的情况下，bard大大优于其单频DSA变体。
As several new spectrum bands are opening up for shared use, a new paradigm of \textit{Diverse Band-aware Dynamic Spectrum Access} (d-DSA) has emerged. d-DSA equips a secondary device with software defined radios (SDRs) and utilize whitespaces (or idle channels) in \textit{multiple bands}, including but not limited to TV, LTE, Citizen Broadband Radio Service (CBRS), unlicensed ISM. In this paper, we propose a decentralized, online multi-agent reinforcement learning based cross-layer BAnd selection and Routing Design (BARD) for such d-DSA networks. BARD not only harnesses whitespaces in multiple spectrum bands, but also accounts for unique electro-magnetic characteristics of those bands to maximize the desired quality of service (QoS) requirements of heterogeneous message packets; while also ensuring no harmful interference to the primary users in the utilized band. Our extensive experiments demonstrate that BARD outperforms the baseline dDSAaR algorithm in terms of message delivery ratio, however, at a relatively higher network latency, for varying number of primary and secondary users. Furthermore, BARD greatly outperforms its single-band DSA variants in terms of both the metrics in all considered scenarios.
