Joint User-Centric Overlapped Clustering and Load Balancing in Ultra Dense Networks
With the increase of cell density and explosive growth of data traffic, coordinated multi-point (CoMP) technology can be used to achieve inter-cell interference cancellation and users spectral efficiency (SE) improvement in ultra-dense networks (UDN). Users (UEs) select its cooperative small cells (SCs) according to their traffic needs and channel conditions. In dense deployment scenario with high load, cooperative clusters selected by different UEs may be overlapping, resulting in the emergence of overloaded SCs, that is, the resources of SCs in the selected cooperative cluster may be insufficient and can’t meet the demand of users. In order to solve this problem, we focus on the user-centric clustering and load balancing joint optimization problem. Since a global optimization is not feasible, a distributed two-step load-aware clustering algorithm is proposed. The first step is to propose a low-complexity user-centric overlapping clustering algorithm, which aims to optimize the spectral efficiency of the user. In the second step, a novel re-clustering algorithm is proposed to balance the load across the SCs, which realizes the offloading of highly loaded SCs, further reducing the number of unsatisfied users. The simulation results show that the necessity and superiority of joint CoMP clustering and load balancing algorithm proposed in this paper. Re-clustering algorithm in the second step further reduces the number of unsatisfied users caused by high load with minimal impact on SE.
KeywordsCoordinate multi-point transmission User-centric clustering Load balancing
This work described in this paper was supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China (Grant No. 2016ZX03001009-003).
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