Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385270035> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4385270035 abstract "This work aims to design protocol sequences through deep reinforcement learning (DRL). Protocol sequences are periodic binary sequences that define multiple access control among users, introduced for systems considering collision channel without feedback (CCw/oFB). In this paper, we leverage the recent advancement of DRL methods to design protocol sequences with desirable new properties, namely Throughput Maximizing User- Irrepressible (TMUI) sequences. TMUI has two specific properties: (i) user-irrepressibility (UI), and (ii) maximizing the minimum individual throughput among the users. We assumed that the transmission channel is divided into time slots and the starting time of each user in joining the system is arbitrary such that there exist random relative time offsets. We use a DRL approach to find TMUI sequences. We report the obtained TMUI protocol sequences and conduct numerical studies comparing TMUI against slotted ALOHA. Simulation results also show that the new medium access control (MAC) protocol does hold the UI property and can achieve substantially higher minimum individual user throughput, under the same system parameters." @default.
- W4385270035 created "2023-07-27" @default.
- W4385270035 creator A5004185922 @default.
- W4385270035 creator A5075832513 @default.
- W4385270035 creator A5082908618 @default.
- W4385270035 creator A5083823843 @default.
- W4385270035 date "2023-06-06" @default.
- W4385270035 modified "2023-09-27" @default.
- W4385270035 title "Designing Medium Access Control Protocol Sequences Through Deep Reinforcement Learning" @default.
- W4385270035 cites W2061622008 @default.
- W4385270035 cites W2099505289 @default.
- W4385270035 cites W2126659942 @default.
- W4385270035 cites W2171590137 @default.
- W4385270035 cites W2728735245 @default.
- W4385270035 cites W2754517384 @default.
- W4385270035 cites W2981943555 @default.
- W4385270035 cites W2985274642 @default.
- W4385270035 cites W3117464136 @default.
- W4385270035 cites W3205648037 @default.
- W4385270035 doi "https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188299" @default.
- W4385270035 hasPublicationYear "2023" @default.
- W4385270035 type Work @default.
- W4385270035 citedByCount "0" @default.
- W4385270035 crossrefType "proceedings-article" @default.
- W4385270035 hasAuthorship W4385270035A5004185922 @default.
- W4385270035 hasAuthorship W4385270035A5075832513 @default.
- W4385270035 hasAuthorship W4385270035A5082908618 @default.
- W4385270035 hasAuthorship W4385270035A5083823843 @default.
- W4385270035 hasConcept C101722063 @default.
- W4385270035 hasConcept C120314980 @default.
- W4385270035 hasConcept C127162648 @default.
- W4385270035 hasConcept C142724271 @default.
- W4385270035 hasConcept C153083717 @default.
- W4385270035 hasConcept C154945302 @default.
- W4385270035 hasConcept C157764524 @default.
- W4385270035 hasConcept C204787440 @default.
- W4385270035 hasConcept C2776398200 @default.
- W4385270035 hasConcept C2780385302 @default.
- W4385270035 hasConcept C31258907 @default.
- W4385270035 hasConcept C41008148 @default.
- W4385270035 hasConcept C527821871 @default.
- W4385270035 hasConcept C555944384 @default.
- W4385270035 hasConcept C71924100 @default.
- W4385270035 hasConcept C761482 @default.
- W4385270035 hasConcept C76155785 @default.
- W4385270035 hasConcept C97541855 @default.
- W4385270035 hasConceptScore W4385270035C101722063 @default.
- W4385270035 hasConceptScore W4385270035C120314980 @default.
- W4385270035 hasConceptScore W4385270035C127162648 @default.
- W4385270035 hasConceptScore W4385270035C142724271 @default.
- W4385270035 hasConceptScore W4385270035C153083717 @default.
- W4385270035 hasConceptScore W4385270035C154945302 @default.
- W4385270035 hasConceptScore W4385270035C157764524 @default.
- W4385270035 hasConceptScore W4385270035C204787440 @default.
- W4385270035 hasConceptScore W4385270035C2776398200 @default.
- W4385270035 hasConceptScore W4385270035C2780385302 @default.
- W4385270035 hasConceptScore W4385270035C31258907 @default.
- W4385270035 hasConceptScore W4385270035C41008148 @default.
- W4385270035 hasConceptScore W4385270035C527821871 @default.
- W4385270035 hasConceptScore W4385270035C555944384 @default.
- W4385270035 hasConceptScore W4385270035C71924100 @default.
- W4385270035 hasConceptScore W4385270035C761482 @default.
- W4385270035 hasConceptScore W4385270035C76155785 @default.
- W4385270035 hasConceptScore W4385270035C97541855 @default.
- W4385270035 hasLocation W43852700351 @default.
- W4385270035 hasOpenAccess W4385270035 @default.
- W4385270035 hasPrimaryLocation W43852700351 @default.
- W4385270035 hasRelatedWork W2044435802 @default.
- W4385270035 hasRelatedWork W2115978053 @default.
- W4385270035 hasRelatedWork W2130708787 @default.
- W4385270035 hasRelatedWork W2163284784 @default.
- W4385270035 hasRelatedWork W2166986572 @default.
- W4385270035 hasRelatedWork W2969459099 @default.
- W4385270035 hasRelatedWork W2974971972 @default.
- W4385270035 hasRelatedWork W4317560558 @default.
- W4385270035 hasRelatedWork W3021761736 @default.
- W4385270035 hasRelatedWork W310292236 @default.
- W4385270035 isParatext "false" @default.
- W4385270035 isRetracted "false" @default.
- W4385270035 workType "article" @default.