基于能效和多媒体服务质量保障的动态资源分配
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- 英文论文题名：User Scheduling and Power Control for Multimedia Systems with QoS Requirements
- 论文作者：杨健 ; 秦猛 ; 杨清海
- 年：2016
- 论文关键词：用户调度 ; 功率控制 ; 服务质量要求 ; 马尔可夫决策 ; Q学习
- 英文论文关键词：user scheduling ; power control ; QoS requirement ; Markov decision ; Q-learning
- 会议召开时间：2016-06-24
- 会议录名称：2016年全国通信软件学术会议程序册与交流文集
- 语种：中文
- 分类号：TN92
- 学会代码：ZGTH
- 会议名称：2016年全国通信软件学术会议
- 会议地点：中国陕西西安
- 主办单位：中国通信学会
- 学会名称：中国通信学会
- 页数：5
- 文件大小：747k
- 原文格式：O
- 会议级别：全国
摘要
以最小化平均消耗功率为目标,提出了一种具有多媒体服务质量保障的用户调度和功率分配机制.每个用户维持一个用于存储多媒体数据包的播放队列,用户的服务质量要求被刻画成用户播放队列为空的概率,即播放中断的概率.针对无线信道和播放队列长度的动态变化,将用户调度和功率分配刻画成一个带有约束条件的马尔可夫决策问题。为了应对系统难以精确获取信道分布参数的情况,采用Q学习算法求解马尔科夫决策问题,进而提出了一种在线学习的用户调度和功率控制算法.系统通过在线学习进行用户调度和功率分配,以实现平均消耗功率的最小化目标.
In this paper,we investigate a joint user scheduling and power control scheme for multimedia systems with quality of service(QoS) requirements to minimize the average power consumption.Each user maintains a playback buffer to store packets before decoding,and the QoS requirements are characterized by the probability of the playback buffer being empty,i.e.,the probability of playback interruption.The joint user scheduling and power control is formulated as a constrained Markov decision problem(CMDP) according to the dynamics of the wireless channel and the length of playback buffers.An on-line learning based algorithm is proposed by solving the CMDP with the aid of Q-learning approach,based on which the system,not knowing the distributions of parameters of wireless channels,can make a user scheduling and power control decision to minimize the average power consumption.
In this paper,we investigate a joint user scheduling and power control scheme for multimedia systems with quality of service(QoS) requirements to minimize the average power consumption.Each user maintains a playback buffer to store packets before decoding,and the QoS requirements are characterized by the probability of the playback buffer being empty,i.e.,the probability of playback interruption.The joint user scheduling and power control is formulated as a constrained Markov decision problem(CMDP) according to the dynamics of the wireless channel and the length of playback buffers.An on-line learning based algorithm is proposed by solving the CMDP with the aid of Q-learning approach,based on which the system,not knowing the distributions of parameters of wireless channels,can make a user scheduling and power control decision to minimize the average power consumption.
引文
[1]Cisco,San Jose,CA,USA,Cisco Visual Networking Index:Global Mobile Data,White Paper,2010-2015.
[2]D.Kivanc,G.Li and H.Liu,Computationally Efficient Bandwidth Allocation and Power Control for OFDMA[J],IEEE Transactions on Wireless Communications,2003,2(6):1150-1158.
[3]T.Girici,C.Zhu and J.Agre,Proportional Fair Scheduling Algorithm in OFDMA-Based Wireless Systems with QoS Constraints[J],Journal on Communications and Networking,2010,12(1):30-42.
[4]Z.Ren,S.Chen and B.Hu,Energy-Efficient Resource Allocation in Downlink OFDM Wireless Systems with Proportional Rate Constraints[J],IEEE Transaction on Vehicular Technology,2014,63(5):2139-2150.
[5]A.Liu and V.Lau,Cache-Enabled Opportunistic Cooperative MIMO for Video Streaming in Wireless Systems[J],IEEE Transaction Signal Processing,2014,62(2):390-402.
[6]D.Bertsekas and J.Tsitsiklis,Neuro-Dynamic Programming.Athena Scientific,1996.
[7]N.Salodkar,A.Bhorkar and A.Karandikar,An On Line Learning Algorithm for Energy Efficient Delay Constrained Scheduling over a Fading Channel[J],IEEE Journal on Selected Areas in Communications,2008,26(4):732-742.
[2]D.Kivanc,G.Li and H.Liu,Computationally Efficient Bandwidth Allocation and Power Control for OFDMA[J],IEEE Transactions on Wireless Communications,2003,2(6):1150-1158.
[3]T.Girici,C.Zhu and J.Agre,Proportional Fair Scheduling Algorithm in OFDMA-Based Wireless Systems with QoS Constraints[J],Journal on Communications and Networking,2010,12(1):30-42.
[4]Z.Ren,S.Chen and B.Hu,Energy-Efficient Resource Allocation in Downlink OFDM Wireless Systems with Proportional Rate Constraints[J],IEEE Transaction on Vehicular Technology,2014,63(5):2139-2150.
[5]A.Liu and V.Lau,Cache-Enabled Opportunistic Cooperative MIMO for Video Streaming in Wireless Systems[J],IEEE Transaction Signal Processing,2014,62(2):390-402.
[6]D.Bertsekas and J.Tsitsiklis,Neuro-Dynamic Programming.Athena Scientific,1996.
[7]N.Salodkar,A.Bhorkar and A.Karandikar,An On Line Learning Algorithm for Energy Efficient Delay Constrained Scheduling over a Fading Channel[J],IEEE Journal on Selected Areas in Communications,2008,26(4):732-742.