… relay nodes, we explore how to approximate the optimal solution in a distributed manner by
reformulating a reinforcement … In this paper, we consider a dynamic relay network scenario …

… a reinforcement learning-based, smart channel adaptation problem, which is then optimally
solved by a customized Q… static optimization, which is not practically viable for relay networks. …

… multi-band relay network. Traditionally, in single-band … allocates optimal power values in
order to increase network … radios capable of performing reinforcement learning to comprehend …

… of this optimization problem of multiband selection targeting the … techniques, particularly the
reinforcement learning (RL) family … problem in multiband relay networks in [20] and [21]. They …

… for resource allocation optimization in future MBNs and … performance. Finally, we present
several potential research issues as future work for the design and performance optimization of …

… MABs are lightweight stateless reinforcement learning type that … for multiband, multi-channel
selection in B5G/6G networks. … schemes for relay communications: A multiband multichannel …

… Cooperative Multi-Hop Optimal Relay Selection (CCORS) … The relay nodes are chosen
based on the highest possible … Further, we obtained an optimal number of cooperative nodes …

… by allowing audiences to customize their viewing angles freely … In Section III, we define our
optimization target with defining … -MB network, the network performs as a DF relay system to …

… network. Since 5G will be available for a long time, previous generation networking systems
will need customization and … The WL algorithm allocates optimal power to the small cell base …

… In [9], a framework to efficiently deploy customized service function chains was proposed in
… We also derive the optimal number of lasers subject to the available time for relay among …