Matches in SemOpenAlex for { <https://semopenalex.org/work/W3124532448> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W3124532448 abstract "Cooperative communication is an effective approach to improve spectrum utilization. In order to reduce outage probability of communication system, most studies propose various schemes for relay selection and power allocation, which are based on the assumption of channel state information (CSI). However, it is difficult to get an accurate CSI in practice. In this paper, we study the outage probability minimizing problem subjected to a total transmission power constraint in a two-hop cooperative relay network. We use reinforcement learning (RL) methods to learn strategies for relay selection and power allocation, which do not need any prior knowledge of CSI but simply rely on the interaction with communication environment. It is noted that conventional RL methods, including most deep reinforcement learning (DRL) methods, cannot perform well when the search space is too large. Therefore, we first propose a DRL framework with an outage-based reward function, which is then used as a baseline. Then, we further propose a hierarchical reinforcement learning (HRL) framework and training algorithm. A key difference from other RL-based methods in existing literatures is that, our proposed HRL approach decomposes relay selection and power allocation into two hierarchical optimization objectives, which are trained in different levels. With the simplification of search space, the HRL approach can solve the problem of sparse reward, while the conventional RL method fails. Simulation results reveal that compared with traditional DRL method, the HRL training algorithm can reach convergence 30 training iterations earlier and reduce the outage probability by 5% in two-hop relay network with the same outage threshold." @default.
- W3124532448 created "2021-02-01" @default.
- W3124532448 creator A5034541026 @default.
- W3124532448 creator A5037894061 @default.
- W3124532448 creator A5080763885 @default.
- W3124532448 creator A5082580072 @default.
- W3124532448 date "2020-11-09" @default.
- W3124532448 modified "2023-10-17" @default.
- W3124532448 title "Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network" @default.
- W3124532448 cites W1646959249 @default.
- W3124532448 cites W1980310952 @default.
- W3124532448 cites W2033644422 @default.
- W3124532448 cites W2084779837 @default.
- W3124532448 cites W2108427351 @default.
- W3124532448 cites W2120448104 @default.
- W3124532448 cites W2121863487 @default.
- W3124532448 cites W2126080547 @default.
- W3124532448 cites W2135778280 @default.
- W3124532448 cites W2137809208 @default.
- W3124532448 cites W2145339207 @default.
- W3124532448 cites W2173564293 @default.
- W3124532448 cites W2315140361 @default.
- W3124532448 cites W2344445507 @default.
- W3124532448 cites W2565358133 @default.
- W3124532448 cites W2599312801 @default.
- W3124532448 cites W2791781667 @default.
- W3124532448 cites W2803281228 @default.
- W3124532448 cites W2890860720 @default.
- W3124532448 cites W2905026759 @default.
- W3124532448 cites W2954168748 @default.
- W3124532448 cites W2960729702 @default.
- W3124532448 cites W2963262099 @default.
- W3124532448 cites W2963761387 @default.
- W3124532448 cites W2963985863 @default.
- W3124532448 cites W2964043796 @default.
- W3124532448 cites W3002189898 @default.
- W3124532448 cites W3020522931 @default.
- W3124532448 cites W3031534314 @default.
- W3124532448 cites W3041207562 @default.
- W3124532448 cites W3100839090 @default.
- W3124532448 cites W3124919228 @default.
- W3124532448 cites W3124943657 @default.
- W3124532448 doi "https://doi.org/10.48550/arxiv.2011.04891" @default.
- W3124532448 hasPublicationYear "2020" @default.
- W3124532448 type Work @default.
- W3124532448 sameAs 3124532448 @default.
- W3124532448 citedByCount "1" @default.
- W3124532448 countsByYear W31245324482020 @default.
- W3124532448 crossrefType "posted-content" @default.
- W3124532448 hasAuthorship W3124532448A5034541026 @default.
- W3124532448 hasAuthorship W3124532448A5037894061 @default.
- W3124532448 hasAuthorship W3124532448A5080763885 @default.
- W3124532448 hasAuthorship W3124532448A5082580072 @default.
- W3124532448 hasBestOaLocation W31245324481 @default.
- W3124532448 hasConcept C121332964 @default.
- W3124532448 hasConcept C126255220 @default.
- W3124532448 hasConcept C154945302 @default.
- W3124532448 hasConcept C163258240 @default.
- W3124532448 hasConcept C25906391 @default.
- W3124532448 hasConcept C2778156585 @default.
- W3124532448 hasConcept C31258907 @default.
- W3124532448 hasConcept C33923547 @default.
- W3124532448 hasConcept C41008148 @default.
- W3124532448 hasConcept C62520636 @default.
- W3124532448 hasConcept C81917197 @default.
- W3124532448 hasConcept C97541855 @default.
- W3124532448 hasConceptScore W3124532448C121332964 @default.
- W3124532448 hasConceptScore W3124532448C126255220 @default.
- W3124532448 hasConceptScore W3124532448C154945302 @default.
- W3124532448 hasConceptScore W3124532448C163258240 @default.
- W3124532448 hasConceptScore W3124532448C25906391 @default.
- W3124532448 hasConceptScore W3124532448C2778156585 @default.
- W3124532448 hasConceptScore W3124532448C31258907 @default.
- W3124532448 hasConceptScore W3124532448C33923547 @default.
- W3124532448 hasConceptScore W3124532448C41008148 @default.
- W3124532448 hasConceptScore W3124532448C62520636 @default.
- W3124532448 hasConceptScore W3124532448C81917197 @default.
- W3124532448 hasConceptScore W3124532448C97541855 @default.
- W3124532448 hasLocation W31245324481 @default.
- W3124532448 hasOpenAccess W3124532448 @default.
- W3124532448 hasPrimaryLocation W31245324481 @default.
- W3124532448 hasRelatedWork W1562959674 @default.
- W3124532448 hasRelatedWork W2602403414 @default.
- W3124532448 hasRelatedWork W265961867 @default.
- W3124532448 hasRelatedWork W2923653485 @default.
- W3124532448 hasRelatedWork W2957776456 @default.
- W3124532448 hasRelatedWork W3046177707 @default.
- W3124532448 hasRelatedWork W3124532448 @default.
- W3124532448 hasRelatedWork W3205656755 @default.
- W3124532448 hasRelatedWork W4210912933 @default.
- W3124532448 hasRelatedWork W4361026739 @default.
- W3124532448 isParatext "false" @default.
- W3124532448 isRetracted "false" @default.
- W3124532448 magId "3124532448" @default.
- W3124532448 workType "article" @default.