论文标题
FDMA具有基于层的优化移动继电器子集算法B5G/6G认知物联网网络中
FDMA with Layers-based Optimized Mobile Relays Subsets Algorithm in B5G/6G Cognitive IoT Networks
论文作者
论文摘要
鉴于未来B5G/6G的值得注意的沟通性能改进（例如，事物的认知互联网，太空集成网络等），对继电器选择算法的合作通信（CC）多样性已进行了大量研究，以显着提高通信质量，但到目前为止，仍然有很多潜在的优化功能与CC Semes相关。 In this paper, in the light of NP-hard problem of subsets relays selection, further studies for theorems of relays subsets with K-layers power allocation standard have been put forward to explore better performance in B5G/6G cognitive IoT (Internet of Things) networks, we propose unified layers-based optimized mobile relays subsets algorithms for full-duplex (FD) non-orthogonal multiple access (NOMA) to greatly improve transmission rate.在揭示并考虑了继电器的基本属性之后，例如移动继电器节点状态，继电器位置，褪色特征等，基于这些继电器特征的优化FD-Noma算法已经提出了以提高和最大限制的最大传输速度，以提高传输速度，以提高传输速度，以提高相关的传输速度，并估算出最大的传输速度，估算了最大的传输速度。 FD-NOMA。总的来说，拟议的一般和优化算法可以在B5G/6G网络（例如认知IoT）中的多个将来的合作通信方案中使用。模拟结果表明，提议的方案的传输速率比其他经典继电器选择算法几倍
In view of noteworthy communications performance improvements for future B5G/6G (such as cognitive Internet of Things, space-ground integration network and so on), cooperative communications (CC) diversity with relays selection algorithms have been extensively studied to significantly improve communications quality, but so far there is still a lot of potential optimization work with CC schemes. In this paper, in the light of NP-hard problem of subsets relays selection, further studies for theorems of relays subsets with K-layers power allocation standard have been put forward to explore better performance in B5G/6G cognitive IoT (Internet of Things) networks, we propose unified layers-based optimized mobile relays subsets algorithms for full-duplex (FD) non-orthogonal multiple access (NOMA) to greatly improve transmission rate. After revealing and taking into account fundamental properties of relays, such as mobile relays nodes state, relays locations, fading characteristics and so on, optimized FD-NOMA algorithm based on these relays features has been presented to improve transmission validity, and a related series of relays subsets theorems have been derived and proved, then minimum upper bound of maximum transmission rates has been estimated to reveal two-way balanced optimal transmission conclusion for FD-NOMA. In general, proposed general and optimized algorithm can be used in multiple future cooperative communications scenarios in B5G/6G networks such as cognitive IoT. Simulations results show that proposed scheme has several times transmission rates than other classical relays selection algorithms
