Delay-constrained sleeping mechanism for energy saving in cache-aided ultra-dense network
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摘要
We investigate an energy-saving sleeping mechanism in a cache-aided ultra-dense network(UDN)with delay constraints. As in existing works, we consider the video and file contents of the UDN. The video contents are cached at and delivered by a small-cell base-station(sBS). The cache-aided sBS cooperates with a macro-cell base-station(mBS) to service the file contents. The optimal sleeping strategy that conserves energy under the delay constraint is formulated as an energy-consumption minimization problem under the network stability condition with a guaranteed delay constraint. To find its solution, the minimization problem is transformed into a joint optimization problem of energy consumption and delay by the Lyapunov technique.A delay-constrained sleeping algorithm is proposed, and its effectiveness is confirmed by the numerical results of a simulation study. A tradeoff between energy consumption and delay, achieved by adjusting the weighting factor in the cache-aided UDN, is also demonstrated.
We investigate an energy-saving sleeping mechanism in a cache-aided ultra-dense network(UDN)with delay constraints. As in existing works, we consider the video and file contents of the UDN. The video contents are cached at and delivered by a small-cell base-station(sBS). The cache-aided sBS cooperates with a macro-cell base-station(mBS) to service the file contents. The optimal sleeping strategy that conserves energy under the delay constraint is formulated as an energy-consumption minimization problem under the network stability condition with a guaranteed delay constraint. To find its solution, the minimization problem is transformed into a joint optimization problem of energy consumption and delay by the Lyapunov technique.A delay-constrained sleeping algorithm is proposed, and its effectiveness is confirmed by the numerical results of a simulation study. A tradeoff between energy consumption and delay, achieved by adjusting the weighting factor in the cache-aided UDN, is also demonstrated.
We investigate an energy-saving sleeping mechanism in a cache-aided ultra-dense network(UDN)with delay constraints. As in existing works, we consider the video and file contents of the UDN. The video contents are cached at and delivered by a small-cell base-station(sBS). The cache-aided sBS cooperates with a macro-cell base-station(mBS) to service the file contents. The optimal sleeping strategy that conserves energy under the delay constraint is formulated as an energy-consumption minimization problem under the network stability condition with a guaranteed delay constraint. To find its solution, the minimization problem is transformed into a joint optimization problem of energy consumption and delay by the Lyapunov technique.A delay-constrained sleeping algorithm is proposed, and its effectiveness is confirmed by the numerical results of a simulation study. A tradeoff between energy consumption and delay, achieved by adjusting the weighting factor in the cache-aided UDN, is also demonstrated.
引文
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23 Li P,Shen Y,Sahito F,et al.BS sleeping strategy for energy-delay tradeoff in wireless-backhauling UDN.Sci China Inf Sci,2019,62:042303
24 Zhu W X,Xu P P,Bui T O,et al.Energy-efficient cell-association bias adjustment algorithm for ultra-dense networks.Sci China Inf Sci,2018,61:022306
25 Huang S,Liang B,Li J.Distributed interference and delay aware design for D2D communication in large wireless networks with adaptive interference estimation.IEEE Trans Wirel Commun,2017,16:3924-3939
26 Mo Y,Peng M,Xiang H Y,et al.Resource allocation in cloud radio access networks with device-to-device communications.IEEE Access,2017,5:1250-1262
27 Neely M J.Stochastic network optimization with application to communication and queueing systems.In:Synthesis Lectures on Communication Networks.San Rafael:Morgan and Claypool,2010.1-211
28 Wang C W,Mei W Y,Qin X Y,et al.Quantum entropy based tabu search algorithm for energy saving in SDWN.Sci China Inf Sci,2017,60:040307
29 Jo H S,Xia P,Andrews J G.Open,closed,and shared access femtocells in the downlink.J Wirel Commun Netw,2012,2012:363-378
30 Li K,Yang C,Chen Z,et al.Optimization and analysis of probabilistic caching in N-tier heterogeneous networks.IEEE Trans Wirel Commun,2018,17:1283-1297
31 Cui Q M,Cui Z Y,Zheng W,et al.Energy-aware deployment of dense heterogeneous cellular networks with QoSconstraints.Sci China Inf Sci,2017,60:042303
2 Wu J,Zhang Y,Zukerman M,et al.Energy-efficient base-stations sleep-mode techniques in green cellular networks:a survey.IEEE Commun Surv Tut,2015,17:803-826
3 Liu C,Natarajan B,Xia H.Small cell base station sleep strategies for energy efficiency.IEEE Trans Veh Technol,2016,65:1652-1661
4 Liu B,Zhao M,Zhou W,et al.Flow-level-delay constrainted small cell sleeping with macro base station cooperation for energy saving in HetNet.In:Proceedings of IEEE Vehicular Technology Conference(VTC-Fall),Boston,2015.1-5
5 Gamboa S,Pelov A,Maille P,et al.Reducing the energy footprint of cellular networks with delay-tolerant users.IEEESyst J,2017,11:729-739
6 Son K,Kim H,Yi Y,et al.Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks.IEEE J Sel Areas Commun,2011,29:1525-1536
7 Shi Q,Zhao L,Zhang Y,et al.Energy-efficiency versus delay tradeoff in wireless networks virtualization.IEEE Trans Veh Technol,2018,67:837-841
8 Li P,Jiang H L,Pan Z W,et al.Energy-delay tradeoff in ultra-dense networks considering BS sleeping and cell association.IEEE Trans Veh Technol,2018,67:734-751
9 Han T,Ansari N.Network utility aware traffic load balancing in backhaul-constrained cache-enabled small cell networks with hybrid power supplies.IEEE Trans Mobile Comput,2017,16:2819-2832
10 Chen Z,Lee J,Quek T Q S,et al.Cooperative caching and transmission design in cluster-centric small cell networks.IEEE Trans Wirel Commun,2017,16:3401-3415
11 Xu J W,Ota K,Dong M X.Saving energy on the edge:in-memory caching for multi-tier heterogeneous networks.IEEE Commun Mag,2018,56:102-107
12 Melike E.Content caching in small cells with optimized uplink and caching power.In:Proceedings of IEEE Wireless Communications and Networking Conference(WCNC),New Orleans,2015.2173-2178
13 Poularakis K,Iosifidis G,Tassiulas L.Joint caching and base station activation for green heterogeneous cellular networks.In:Proceedings of IEEE International Conference on Communications(ICC),London,2015.3364-3369
14 Xie R C,Li Z S,Huang T,et al.Energy-efficient joint content caching and small base station activation mechanism design in heterogeneous cellular networks.China Commun,2017,14:70-83
15 Xu D,Jin H,Zhao C L,et al.Joint caching and sleep-active scheduling for energy-harvesting based small cells.In:Proceedings of IEEE International Conference on Wireless Communications and Signal Processing,Nanjing,2017.1-6
16 Pappas N,Chen Z,Dimitriou I.Throughput and delay analysis of wireless caching helper systems with random availability.IEEE Access,2018,6:9667-9678
17 Doan K N,van Nguyen T,Quek T Q S,et al.Content-aware proactive caching for backhaul offloading in cellular network.IEEE Trans Wireless Commun,2018,17:3128-3140
18 Gao S,Li P,Pan Z W,et al.Machine learning based small cell cache strategy for ultra dense networks.In:Proceedings of IEEE International Conference on Wireless Communications and Signal Processing(WCSP),Nanjing,2017.1-5
19 Haenggi M,Andrews J G,Baccelli F,et al.Stochastic geometry and random graphs for the analysis and design of wireless networks.IEEE J Sel Areas Commun,2009,27:1029-1046
20 Takagi H.Queueing Analysis:A Foundation of Performance Evaluation,Volume I:Vacation and Priority Systems.1st ed.Amsterdam:Elsevier,1991.30-55
21 Yang J,Yang Q H,Kwak K S,et al.Power-delay tradeoff in wireless powered communication networks.IEEE Trans Veh Technol,2017,66:3280-3292
22 Zhang G Z,Quek T,Huang A,et al.Backhaul-aware base station association in two-tier heterogeneous cellular networks.In:Proceedings of IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications(SPAWC),Stockholm,2015.390-394
23 Li P,Shen Y,Sahito F,et al.BS sleeping strategy for energy-delay tradeoff in wireless-backhauling UDN.Sci China Inf Sci,2019,62:042303
24 Zhu W X,Xu P P,Bui T O,et al.Energy-efficient cell-association bias adjustment algorithm for ultra-dense networks.Sci China Inf Sci,2018,61:022306
25 Huang S,Liang B,Li J.Distributed interference and delay aware design for D2D communication in large wireless networks with adaptive interference estimation.IEEE Trans Wirel Commun,2017,16:3924-3939
26 Mo Y,Peng M,Xiang H Y,et al.Resource allocation in cloud radio access networks with device-to-device communications.IEEE Access,2017,5:1250-1262
27 Neely M J.Stochastic network optimization with application to communication and queueing systems.In:Synthesis Lectures on Communication Networks.San Rafael:Morgan and Claypool,2010.1-211
28 Wang C W,Mei W Y,Qin X Y,et al.Quantum entropy based tabu search algorithm for energy saving in SDWN.Sci China Inf Sci,2017,60:040307
29 Jo H S,Xia P,Andrews J G.Open,closed,and shared access femtocells in the downlink.J Wirel Commun Netw,2012,2012:363-378
30 Li K,Yang C,Chen Z,et al.Optimization and analysis of probabilistic caching in N-tier heterogeneous networks.IEEE Trans Wirel Commun,2018,17:1283-1297
31 Cui Q M,Cui Z Y,Zheng W,et al.Energy-aware deployment of dense heterogeneous cellular networks with QoSconstraints.Sci China Inf Sci,2017,60:042303