Interference Management in Ultradense Networks: A User-Centric Coalition Formation Game Approach

Cao, Jiaqi; Peng, Tao; Qi, Zhiqiang; Duan, Ran; Yuan, Yifei; Wang, Wenbo

doi:10.1109/tvt.2018.2799568

Cited by 57 publications

(27 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, in [132], a robust beamforming with pilot reuse scheduling algorithm has been proposed to maximise the sum SE of the network, reduce CSI feedback overhead and pilot consumption. Also, a centralised user centric merge-and-split (MAS) rules based on coalition formation game, which can be well supported in the framework of the C-RAN, is proposed in [128] for UDNs to ensure a more effective and accurate interference mitigation.…”

Section: ) C-ranmentioning

confidence: 99%

“…The intelligent management schemes that can be used to solve problems that involve the combination of UDNs, C-RAN, and fog computing technologies are RRA, user association techniques, load balancing schemes and interference management algorithms. In [128], a centralised user-centric mergeand-split technique is proposed based on C-RAN using the tool of coalition formation game. The proposed technique makes it possible to utilise the information of users such as distance to estimate inter-user interference for more effective and accurate interference mitigation.…”

Section: Combination Of Udns C-ran and Fog Computing Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

2020

View full text Add to dashboard Cite

Recently, to address the astonishing capacity requirement of 5G, researchers are investigating the possibility of combining different technologies with ultra-dense networks (UDNs). However, the ultradense deployment of small cells in the coverage area of conventional macrocells known as UDNs introduces new technical challenges such as severe interference, unfairness in radio resource sharing, unnecessary handover, a significant increase in energy consumption, and degraded quality-of-service (QoS). To overcome these challenges and achieve the performance requirements in 5G, there is a need to combine UDNs with other 5G enabling technologies and then, design intelligent management techniques for better performance of the overall networks. Hence, in this paper, we present a comprehensive survey on different generations of wireless networks, 5G new radio (NR) standards, 5G enabling technologies and the importance of combining UDNs with other 5G technologies. Also, we present an extensive overview of the recent advances and research challenges in intelligent management techniques and backhaul solutions in the last five years for the combination of UDNs and other enabling technologies that offers the visions of 5G. We summarise the mathematical tools widely exploited in solving these problems and the performance metrics used to evaluate the intelligent management algorithms. Moreover, we classify various intelligent management algorithms according to the adopted enabling technologies, benefits, challenges addressed, mathematical tools and performance metrics used. Finally, we summarise the open research challenges, provide design guidelines and potential research directions for the development of intelligent management techniques and backhaul solutions for the combination of UDNs and other 5G technologies. INDEX TERMS Macrocells, small cells, ultra-dense networks, QoS.

show abstract

Section: ) C-ranmentioning

confidence: 99%

Section: Combination Of Udns C-ran and Fog Computing Technologiesmentioning

confidence: 99%

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

2020

View full text Add to dashboard Cite

show abstract

“…In [20], Zhang et al studied the joint subchannel and power allocation problem in full-duplex user-centric UDNs to maximize the total capacity of system through tier-separate and variable-separate based approach. In [21], Cao et al modeled the potential interference relationship of users in ultra-dense femtocell networks with orthogonal frequency division multiple access (OFDMA) as conflict-graph, and devised a sub-channel allocation algorithm with a profit-calculating method. However, all these works just concerned the resource allocation solutions targeting at wireless access without capturing the potential benefits of using wireless backhaul connections.…”

Section: Related Workmentioning

confidence: 99%

Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming,

Zhang¹,

Zhang²,

Zhao³

et al. 2020

Preprint

View full text Add to dashboard Cite

A coupling of wireless access via non-orthogonal multiple access and wireless backhaul via beamforming is a promising way for downlink user-centric ultra-dense networks (UDNs) to improve system performance. However, ultra-dense deployment of radio access points in macrocell and user-centric view of network design in UDNs raise important concerns about resource allocation and user association, among which notably is energy efficiency (EE) balance. To overcome this challenge, we develop a framework to investigate the resource allocation problem for energy efficient user association in such a scenario. The joint optimization framework aiming at the system EE maximization is formulated as a large-scale non-convex mixed-integer nonlinear programming problem, which is NP-hard to solve directly with lower complexity. Alternatively, taking advantages of sum-of-ratios decoupling and successive convex approximation methods, we transform the original problem into a series of convex optimization subproblems. Then we solve each subproblem through Lagrangian dual decomposition, and design an iterative algorithm in a distributed way that realizes the joint optimization of power allocation, sub-channel assignment, and user association simultaneously. Simulation results demonstrate the effectiveness and practicality of our proposed framework, which achieves the rapid convergence speed and ensures a beneficial improvement of system-wide EE.<br>

show abstract

“…However, in a traditional clustering system, each cell is allowed to join only one cluster, which inevitably interferes with other clusters. The literature [35] allows a community to participate in multiple clusters, coordinate inter-cluster and intra-cluster interference, and establish a coalition formation game model using cooperative game theory. The players in each cluster contributes their own resources to form resource pools, and then obtains resources from the cluster according to the degree of contribution to communicate.…”

Section: Clusteringmentioning

confidence: 99%

Overview on Interference Management Technology for Ultra-Dense Network

Zhang¹,

Tian²

2018

OALib

View full text Add to dashboard Cite

The explosive growth of the mobile traffic demand has triggered the investigation of 5th generation mobile networks (5G) for the future development of wireless communications. The ultra-dense network (UDN) has the ability to effectively improve system throughput and spectrum utilization by deploying a large number of low-power, low-cost, low-power home base stations or micro base stations. The dense distribution of micro base stations poses new challenges in terms of energy loss and interference management. Firstly, the overview of 5G is briefly introduced in this paper. Then, interference management method for UDN is summarized. So far, interference management methods for UDN mainly include interference alignment, clustering, and resource allocation. The principles of the three methods are described in detail. Finally, we conclude that clustering and resource allocation are more suitable for UDN. bile data services. With the increasing demand for broadband mobile data, the next-generation mobile communication system (5G) is in urgent need to meet user needs.Compared with 4G, 5G has a great improvement in terms of transmission rate, user experience rate, terminal-to-terminal delay, number of connected devices, mobility, and standby time in different service scenarios. According to these key technical indicators, in order to respond to the needs of future 5G network service development and maintenance operations, comprehensive consideration must be taken from various aspects such as wireless spectrum, wireless access technologies, and network architecture. The requirements of spectrum resource for future network technologies can be met by the deep development and utilization of high frequency bands and even ultra-high frequency bands. The utilization of wireless spectrum resources can also be improved by a series of advanced wireless transmission technologies. Among them, millimeter wave, massive MIMO and ultra dense networks (UDN) are regarded as the most promising key technologies for improving spectrum utilization, increasing system capacity, and enhancing 5G network performance.

show abstract

Interference Management in Ultradense Networks: A User-Centric Coalition Formation Game Approach

Cited by 57 publications

References 23 publications

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

Combination of Ultra-Dense Networks and Other 5G Enabling Technologies: A Survey

Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming,

Overview on Interference Management Technology for Ultra-Dense Network

Contact Info

Product

Resources

About