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Joint Optimization on Load Balancing and Network Load in 3GPP LTE Multi-cell Networks

机译:3GPP LTE多小区网络中负载均衡和网络负载的联合优化

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In this paper, we jointly investigate load balancing and network load minimization in 3GPP LTE multi-cell networks. Load imbalance often causes inefficient utilization of system resource, which may result in a high new call blocking rate. However, switching users only for load balancing with no consideration of network load often results in aggressive handovers of users, which may occupy quantities of resources in target cells so as to increase the new call blocking rate and decrease the bandwidth efficiency of the network. Thus, our objective is to balance the load distribution among neighboring cells as much as possible, while to increase the network average load as little as possible. First we pose a multi-objective optimization problem, which objectives are load balancing index and average load of the network with constraints of physical resource limits and users’ Quality-of-Service (QoS) demands. After that, we transform the problem to be a single aggregate objective function optimization problem, analyze its complexity and propose a practical algorithm which considers network load minimization with load balancing (NLMLB). Extensive simulations are conducted, and the results show that our algorithm leads to significantly better performances of a lower new call blocking rate, a fewer system resources occupation and a higher network bandwidth efficiency.
机译:在本文中,我们共同研究了3GPP LTE多小区网络中的负载平衡和网络负载最小化。负载不平衡通常会导致系统资源利用效率低下,这可能会导致较高的新呼叫阻止率。然而,仅在不考虑网络负载的情况下切换用户以进行负载平衡通常会导致用户的主动切换,这可能会占用目标小区中的大量资源,从而增加新的呼叫阻塞率并降低网络的带宽效率。因此,我们的目标是尽可能地平衡相邻小区之间的负载分配,同时尽可能少地增加网络平均负载。首先,我们提出了一个多目标优化问题,其目标是负载平衡指数和网络的平均负载,并受到物理资源限制和用户的服务质量(QoS)要求的约束。之后,我们将该问题转换为单个集合目标函数优化问题,分析其复杂性,并提出了一种考虑负载平衡(NLMLB)的网络负载最小化的实用算法。进行了广泛的仿真,结果表明,我们的算法可显着提高性能,包括较低的新呼叫阻塞率,较少的系统资源占用和较高的网络带宽效率。

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