Inter-Cluster Interference Management Based on Cell-Clustering in Network MIMO Systems

Moon, Jun Il; Cho, Dong-Ho

doi:10.1109/vetecs.2011.5956662

Cited by 29 publications

(18 citation statements)

References 9 publications

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“…The intuitive reason for the performance gains is that since BSs within a cluster change dynamically, no regions within the cell are always prone to interference. Efficient, iterative algorithms are proposed in [18,[20][21][22][23][24][25], and significant performance gains are observed for a small cluster size (≤ 4 BSs). DC requires a hybrid architecture where the clustering algorithm runs on a central server, and then MCP is performed in each cluster in a distributed manner.…”

Section: Related Workmentioning

confidence: 99%

“…In [22] and [23], the network is modelled as a graph where the vertices represent the BSs and any two vertices are connected by an edge if the interference between the corresponding BSs is above a certain threshold. Each edge is then assigned a utility value which could be either the average increase in achievable rate or the increase in interference if the two vertices form a cluster.…”

Section: Dynamic Clusteringmentioning

confidence: 99%

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Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network

Thampi

Armour

Fan

et al. 2016

J Wireless Com Network

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In this paper, we propose a practical and scalable solution to mitigating interference on the uplink through static clustering and adaptive fractional frequency reuse (CFFR). The focus is on a three-cell clustered network due to its low complexity. Moreover, we have previously shown that a performance comparable to that of global coordination is achievable using a cluster size of three. In this paper, for a clustered planar Wyner network, we derive analytical capacity equations for zero forcing (ZF) and linear minimum mean squared error (LMMSE)-based receivers. The theoretical results show that inter-cluster interference is the major performance bottleneck and that the smallest interference from the neighbouring clusters is sufficient to significantly lower the system performance. We then switch our study to a more realistic network setting and augment our CFFR technique by adopting an entirely distributed architecture and by implementing a location classification algorithm based on logistic regression. We then show through simulations that CFFR performs significantly better than the widely studied dynamic clustering (DC) technique. Since the inter-cluster interference intensity of CFFR is much lower than DC, the per-cell sum rate performance is 1.5× better, especially at high loads. We also show that the CFFR algorithm is a lot less complex than DC in terms of running time.

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Section: Related Workmentioning

confidence: 99%

Section: Dynamic Clusteringmentioning

confidence: 99%

Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network

Thampi

Armour

Fan

et al. 2016

J Wireless Com Network

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“…In [122], the authors developed an efficient cell-clustering algorithm to maximize the sum rate of the users based on graph theory. In [123], a joint clustering and scheduling algorithm is proposed to maximize the weighted sum rate by greedily selecting the BS clusters from a set of predetermined candidate clusters.…”

Section: Joint Rrh Clustering and Precodingmentioning

confidence: 99%

Enabling 5G mobile wireless technologies

Lau

Jorswieck

et al. 2015

J Wireless Com Network

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Research on 5G mobile wireless technologies has been very active in both academia and industry in the past few years. While there has been certain consensus on the overall requirements of 5G wireless systems (e.g., in data rate, network capacity, delay), various enabling wireless technologies have been considered and studied to achieve these performance targets. It has been quite clear, however, that there would be no single enabling technology that can achieve all diverse and even conflicting 5G requirements. In general, many fundamental changes and innovations to re-engineer the overall network architecture and algorithms in different layers and to exploit new system degrees of freedom would be needed for the future 5G wireless system. In particular, we may need to consider other potential waveform candidates that can overcome limitations of the orthogonal frequency multiple access (OFDM) waveform employed in the current 4G system, develop disruptive technologies to fulfill 5G rate and capacity requirements including network densification, employment of large-scale (massive) multiple input multiple output (MIMO), and exploitation of the millimeter wave (mmWave) spectrum to attain Gigabit communications. In addition, design tools from the computer networking domain including software defined networking, virtualization, and cloud computing are expected to play important roles in defining the more flexible, intelligent, and efficient 5G network architecture. This paper aims at describing key 5G enabling wireless mobile technologies and discussing their potentials and open research challenges. We also present how papers published in our special issue contribute to the developments of these disruptive 5G technologies.

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“…This has been shown to be a good trade-off between performance and overhead. Even higher performance gains can be attained if the clusters are formed dynamically [17], [18] for example by user-centric approaches [19].…”

Section: Introductionmentioning

confidence: 99%

Mean Achievable Rates in Clustered Coordinated Base Station Transmission with Block Diagonalization

Corvaja

Fernández

Armada

2013

IEEE Trans. Commun.

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Abstract-We focus on the mean achievable rate per user of the coordinated base station downlink transmission in a clustered cellular environment, with transmit power constraints at the base stations. Block Diagonalization is employed within the cluster to remove interference among users while the interference from other clusters remains. The average achievable rate per user is evaluated considering the effects of the propagation channel and the interference and a theoretical framework is presented to provide its analytical expression, validated by simulation results with different power allocation schemes. As an application, the number of cells of the cluster that maximizes the mean achievable rate per user is investigated. It can be seen that in most of the cases a reduced cluster size, close to seven cells, guarantees a rate very close to the maximum achievable.

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Inter-Cluster Interference Management Based on Cell-Clustering in Network MIMO Systems

Cited by 29 publications

References 9 publications

Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network

Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network

Enabling 5G mobile wireless technologies

Mean Achievable Rates in Clustered Coordinated Base Station Transmission with Block Diagonalization

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