| Autor: |
ZHANG Fan, GONG Ao-yu, DENG Lei, LIU Fang, LIN Yan, ZHANG Yi-jin |
| Jazyk: |
čínština |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Jisuanji kexue, Vol 48, Iss 9, Pp 264-270 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1002-137X |
| DOI: |
10.11896/jsjkx.210100143 |
| Popis: |
Deadline-constrained wireless downlink transmissions,which have been widely used for a variety of real-time communication services that are related to the national economy and the people's livelihood,require each packet to be delivered in an ultra-reliable fashion within a strict delivery deadline.However,the base station (BS) cannot fully observe the channel state between itself and each device,and can be aware of the channel state for a device only when the BS receives a feedback from this device.This realistic channel observation environment makes the design of deadline-constrained downlink scheduling more challengeable.This paper aims to deal with this issue by allowing the BS to determine the transmission priority based on the packet information and partially-observable channel states.This paper uses an infinite-horizon partially observable Markov decision process (POMDP) to model the downlink transmission by only considering the head-of-line packets,but finding an optimal or near-optimal strategy for this model is computationally infeasible.As such,this paper proposes a suboptimal strategy with low complexity using the Q-function Markov decision process (QMDP) for the finite-horizon problems,and further proposes a simpler heuristic strategy.Simulation results demonstrate the performance advantage of the proposed strategies over baselines in various network scenarios,and indicate that the partial observability on the channel states indeed has a significant impact on the throughput performance. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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