Traffic-Aware Base Station SleepingControl with Cooperation forEnergy-Delay Tradeoffs in Multi-cellCellular Network

Abstract: From an energy efficiency viewpoint of improving the cellular access networks,the power consumption of the whole system needs to be tracked. In this project,a theoretical model is studied which jointly encompasses sleep control strategyand Base Station (BS) cooperation polices, our goal is to obtain a Pareto Op-timal tradeoff between energy consumption and average delay time. Based onthe traffic load variation, the sleep control strategy is proposed by adjustingthe BS working mode. This project focuses on the multi-cell network which ismore close to the real world. In multi-cell scenario, except for the design of thesleep control, the issues of BS cooperation and the inter-cell interference alsoneed to be covered. Furthermore, based on the multi-cell network, three typesof energy saving strategies are considered: In case I, users only can be servedby their own Base stations (BSs) which go to sleep mode when there is no ac-tive user and will not wake up until N users need to be served. This strategyleads to a good energy performance but the long delay. To reduce the averagedelay, therefore, in case II, we introduced the user association policies that thenetwork handover the user to his adjacent BSs when his own BS is in the sleepmode. Furthermore, the relay-assisted network was studied in the case III. Fi-nally, Based on theoretical and simulation results, we compared these tree casesunder the given traffic conditions from the perspective of achieving the optimalaverage energy-delay tradeoff. And also we found out that sacrificing networkthroughput can yield the energy saving if we carefully design the network.