基于部分可測(cè)馬爾科夫決策過程業(yè)務(wù)感知的微基站休眠時(shí)長確定策略
doi: 10.11999/JEIT170274
基金項(xiàng)目:
國家高科技研究發(fā)展計(jì)劃(2014AA01A701)，國家自然科學(xué)基金(61571073)
Micro Base Station Sleeping Cycle Determination Strategy Based on Partially Observed Markov Decision Process Traffic Aware
Funds:
The National High Technology Research and Development Program of China (2014AA01A701), The National Natural Science Foundation of China (61571073)
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摘要: 針對(duì)密集組網(wǎng)場(chǎng)景中業(yè)務(wù)不確定性引起的基站休眠周期難以確定的問題，該文提出一種基于部分可測(cè)馬爾可夫決策過程(Partially Observed Markov Decision Process, POMDP)業(yè)務(wù)感知的微基站休眠時(shí)長確定策略。該策略將周期分為長周期和短周期，每個(gè)周期由輕度和深度兩個(gè)階段構(gòu)成。通過POMDP感知到達(dá)基站的業(yè)務(wù)狀態(tài)，動(dòng)態(tài)調(diào)整周期時(shí)長，進(jìn)而選取適合當(dāng)前周期的時(shí)長。仿真結(jié)果表明，該策略可以根據(jù)業(yè)務(wù)感知提前確定微基站關(guān)斷時(shí)長，與基于業(yè)務(wù)門限值的基站關(guān)斷機(jī)制相比節(jié)能效果更好。
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關(guān)鍵詞:
- 密集組網(wǎng) /
- 關(guān)斷機(jī)制 /
- 部分可測(cè)馬爾可夫過程 /
- 業(yè)務(wù)感知 /
- 長/短休眠周期 /
- 動(dòng)態(tài)調(diào)整
Abstract: In order to solve the problem that the sleeping cycles are difficult to be determined duo to the traffic uncertainty in dense network scenarios, this paper proposes a Micro base station sleeping cycle determination strategy which based on the Partially Observed Markov Decision Process (POMDP) traffic-aware. In this strategy, the sleeping cycle is divided into long cycle and short cycle, and each cycle consists of deep and light stage. Based on the POMDP traffic-aware, it can dynamic adjusting the cycle and determine the proper length of cycle. Both the analytical and simulation results show that compare with sleeping strategy based on the traffic threshold, the base station sleeping strategy based on traffic awareness can effectively reduce the energy consumption of the micro base stations in the dense network by adjusting the sleeping time of the micro base stations in real time. -
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