Research On Bs Sleep And Cooperative Beamforming Under Small Cell Network

With the development of wireless communication network, the number of mobile devices and the data traffic is showing exponential growth.Improving the spectrum efficiency and energy efficiency simultaneously has been one of the important targets of future wireless communication systems. As one of the novel techniques in 5G wireless communication system, ultra-dense small cell has drawn widespread attention from both academia and industry. The high power consumption and strong inter-cell interference caused by ultra-dense small cell deployment have been the critical problems for ultra-dense small cell technique to improve the system spectral efficiency significantly. Dealing with the high-consumption problem in ultra-dense small cell technique, this paper studies following two aspects:Firstly, this paper analyses and studies the BS sleep technique, and proposes a low complexity, high-efficiency distributed BS sleep strategy.Comparing with traditional BS sleep strategies, the proposed algorithm improves the system energy efficiency by lowering the power consumption and guaranteeing the QoS of users by setting several thresholds. By analyzing the complexity, signals and the result of energy optimization, the proposed algorithm shows good effect and is valuable in reality.Secondly, this paper jointly designs the BS sleep and cooperative beamforming strategies. The proposed algorithm can lower the power consumption by turn off the BSs and ensure the system spectral efficiency by eliminating the interference between users and BSs, which improves the system energy efficiency. Furthermore, the signaling overhead is very low to implement the distributed beamforming, which reduces the cost of deploying the BSs. The simulation results show the superiority of the proposed iterative algorithm by comparing with the other sleep strategies and beamforming algorithms.