User-centric ultra-dense networks for 5G: challenges, methodologies, and directions

Chen, Shanzhi; Qin, Fei; Hu, Bo; Li, Xi; Chen, Zhonglin

doi:10.1109/mwc.2016.7462488

Cited by 345 publications

(162 citation statements)

References 7 publications

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“…In recent years, mobility management has been studied in many types of networks, including IP and future networks [3,[22][23][24][25], 4G and 5G networks [2,4,10,26], wireless sensor networks [5,[27][28][29][30][31][32], and mobile cloud computing [6,11]. In [3], the authors investigate handover and mobility issues for IP-based multimedia services and applications.…”

Section: Network Mobility Managementmentioning

confidence: 99%

A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks

Xiao

Zhang

Zhu

2018

Wireless Communications and Mobile Computing

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Along with the penetration of smart devices and mobile applications in our daily life, how to effectively manage the mobility issues in wireless networks becomes a challenging task. The ability to continuously and accurately track the target object's position plays a vital role in mobility management. In this paper, we propose a novel indoor localization algorithm that fuses multiple signal features as the location fingerprints. The rationale that motivates our algorithm design stems from the following observation: although using one special signal feature (e.g., channel state information (CSI)) might achieve statistically higher accuracy than using another signal feature (e.g., received signal strength (RSS)), the accuracy for individual position estimations is usually diversified when only one signal feature is used in localization. For example, using RSS can obtain more accurate location estimation than using CSI for some individual positions. Thus, we propose a novel indoor localization algorithm that fuses multiple types of signal features as fingerprint of positions, which can effectively improve localization accuracy. We designed several fusion schemes and evaluated their performance. Experiments show that our algorithm achieves localization error below 0.5m and 1.1m in two typical indoor environments, about 30% lower than the accuracy of algorithms by fusing multiple signal features.

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Section: Network Mobility Managementmentioning

confidence: 99%

A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks

Xiao

Zhang

Zhu

2018

Wireless Communications and Mobile Computing

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“…Naturally, significant challenges arise due to the overlapped coverage of APs. Hence, a user-centric clustering based architecture [6] is introduced to deal with the above-mentioned problems in UDNs, where the APs are grouped together into clusters (or virtual cells) to fully exploit the benefits of the joint transmission technique of [7]. Nevertheless, in order to mitigate the cluster-edge effects, where the cluster-edge UEs suffer from potential inter-cluster interference, the user-centric overlapped clustering philosophy of [8] can be employed for substantially enhancing the performance of all UEs in cooperative networks.…”

Section: Introduction a Motivation And Scopesmentioning

confidence: 99%

“…6: until All vertices in G are sorted. Choosing one color n from the set N randomly; 12: Decide whether all other vertices with color n connect with vertex C k : If no, then allocate color n to vertex C k ; otherwise generating color n randomly in remaining colors until find the suitable color.…”

mentioning

confidence: 99%

Graph-Based Joint User-Centric Overlapped Clustering and Resource Allocation in Ultradense Networks

Lin

Zhang

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-With the increase of access point (AP) density and the exponential growth of mobile devices supported by ultra dense networks (UDNs), user-centric overlapped clustering relying on AP cooperation is becoming a promising design principle for guaranteeing the quality of service (QoS) required by each UE. This ambitious goal can be achieved by the joint design of user-centric overlapped clustering and resource allocation. In this context, both the traffic-load balancing and the limited availability of orthogonal resource blocks (RBs) have to be carefully considered in UDNs. To tackle these challenges, we formulate a joint user-centric overlapped clustering and resource allocation problem with the goal of maximizing the system's spectral efficiency (SE). To efficiently solve this problem, it is decoupled into two subproblems, which can be solved independently with the aid of our graph-theoretical framework. We first develop a novel distributed three-stage user-centric clustering solution, which is aware of the APs' traffic-loads. Then, based on the overlapped clusters constructed, we propose a novel two-stage graph-based user-centric resource allocation scheme for mitigating the resultant inter-cluster interference, despite the limited availability of orthogonal RBs. Our numerical results confirm the benefits of the proposed framework and show that it outperforms the benchmark solutions in terms of both its per area aggregated user rate (PAAR) and user rate.

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“…The user is located in the center and BSs in a circle area with radius D. Virtual cells can convert interference signals into useful signals and offer users seamless moving experience [4]. There have been quite a few studies in multiple BSs transmissions.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic-based Virtual Cell Design in Ultra-Dense Networks

Liu

Chuai

Gao

et al. 2018

J Wireless Com Network

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One of the main trends in the fifth generation (5G) cellular network is the bifurcation of systems that enable network densification. With this trend, ultra-dense networks (UDN) become a pillar technology to provide high data rates gains. However, these gains come at the expense of more complex interference and higher handover frequency. The user-centric virtual cell conception has been proposed to solve these problems. But it still has encountered some challenges in practical application. In this paper, we propose a fuzzy logic-based virtual cell design to balance data rates and resource overhead in order to improve virtual cell applicability. In our design, we consider a practical UDN scenario with imperfect channel state information (CSI) feedback and model it by stochastic geometry theory. Then, we find the optimal radius of virtual cells by maximizing the system spectral efficiency. On the basis, we propose a fuzzy logic-based activation strategy selection (FASS) algorithm to rationally choose the virtual cell activation threshold and resources allocation scheme under different traffic loads and quality of service (QoS) requirement. Simulation results demonstrate that the proposed solution can effectively eliminate the interference, obviously improve the user's system spectral efficiency and dynamically adapt to different traffic loads.

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User-centric ultra-dense networks for 5G: challenges, methodologies, and directions

Cited by 345 publications

References 7 publications

A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks

A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks

Graph-Based Joint User-Centric Overlapped Clustering and Resource Allocation in Ultradense Networks

Fuzzy Logic-based Virtual Cell Design in Ultra-Dense Networks

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