Abstract
Densely deploying small cells will be a solution to provide explosive data requirements in fifth-generation networks. Because users often cluster together in popular locations of an urban area, congested small cells in the popular sites are also gathered. Traditional load balancing schemes generally only consider neighboring cells when offloading users are not suitable for clusters of overloaded cells. This paper considers groups of overloaded cells in the load balancing problem. The objective is to maximize the quality-of-service satisfaction ratio. To solve the problem, we propose a multidepth offloading algorithm with the consideration of the radio resource allocation. The proposed multidepth offloading algorithm can be applied no matter that congested small cells are gathered or not. Compared with a previous offloading algorithm and a baseline, the simulation results show that our proposed algorithm can increase 16% QoS satisfaction ratio in a real user distribution and 13% QoS satisfaction ratio in a clustered user placement.
Highlights
Advances of mobile devices and wireless communications bring the rapid development of various network applications so that mobile data traffic explosively grows
Because small cells are densely deployed in ultradense cellular networks, we can search for high depth cells with light loads when overloaded cells are clustered
(ii) We propose a multidepth offloading algorithm with the considerations of resource allocation and load balance of neighboring cells to maximize the QoS satisfaction ratio
Summary
Advances of mobile devices and wireless communications bring the rapid development of various network applications so that mobile data traffic explosively grows. To increase the QoE of users in cellular networks, maximizing the QoS satisfaction ratio is essential. Because small cells are densely deployed in ultradense cellular networks, we can search for high depth cells with light loads when overloaded cells are clustered. (i) This paper considers clusters of overloaded cells in ultradense cellular networks and observes that traditional approaches for the load balancing problem with the consideration of radio resource allocation are not effective in clusters of overloaded cells. (ii) We propose a multidepth offloading algorithm with the considerations of resource allocation and load balance of neighboring cells to maximize the QoS satisfaction ratio. Compared with the offloading algorithm designed by [9] and a baseline, the simulation results show that our proposed algorithm can improve 16% QoS satisfaction ratio in a real user distribution and 13% QoS satisfaction ratio in a clustered user placement.
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