Uplink Interference Management for Coexisting MIMO Femtocell and Macrocell Networks: An Interference Alignment Approach

Güler, Başak; Yener, Aylin

doi:10.1109/twc.2014.030314.131408

Cited by 35 publications

(23 citation statements)

References 28 publications

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“…Recently, there have been several studies on small cell interference mitigation, such as small cell resource allocation, [2][3][4] frequency partitioning, 5 game theory, [6][7][8] and interference alignment. 9,10 Among them, small cell access control strategies design has been proved to be quite promising, as it is able to mitigate the cross-tier interference and improve throughputs of both small cell users (SUs) and macrocell users (MUs), 11 especially the MUs far away from their serving macrocell base stations (MBSs) but near SBSs. In general, there are three small cell access policies: open, closed, and hybrid access.…”

Section: Discussionmentioning

confidence: 99%

Cluster based resource allocation in two‐tier HetNets with hierarchical throughput constraints

Zhou

2017

Int J Communication

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Two-tier heterogeneous networks (HetNets), formed by deploying small cell base stations (SBSs) over existing macrocells, can enhance the network performance in future fifth generation network. However, the cross-/co-tier interference in HetNets also will severely influence the user throughput of both tiers. In this paper, we investigate the resource allocation and interference mitigation problem in cluster based orthogonal frequency division multiple access (OFDMA) two-tier HetNets. In a typical cluster, one SBS is selected as the cluster head to allocate resources among all small cells to guarantee their throughput requirements. Hybrid access policy enables small cells to suppress the cross-tier interference and earn additional revenue from macrocells, but it also leads to decrease of available resources for small cell users (SUs). To compensate hybrid access SBSs for their resources loss, we impose hierarchical SU throughput constraints on the optimization problem, which guarantee these small cells more resources than closed access ones. Besides, the cross-tier interference constraint is also considered to protect the transmissions of macrocell users. Accordingly, a subgradient iteration based resource allocation algorithm is proposed. Numerical results show that the proposed algorithm can satisfy SU throughput constraints of all small cells with different access policies and guarantee quality of service requirements of all accessed macrocell users in hybrid access small cells.

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Section: Discussionmentioning

confidence: 99%

Cluster based resource allocation in two‐tier HetNets with hierarchical throughput constraints

Zhou

2017

Int J Communication

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“…On one hand, the resource coordination-based scheme at the transmitter side [11], [12] will try to avoid interference by partially orthogonally allocating or fully reusing the spectrum resources, which can be implemented in frequency, time, space, and power domains, such as almost blank subframes, CoMP and enhanced inter-cell interference coordination (eICIC). On the other hand, there are interference cancellation techniques at the receiver side, for instance, successive interference cancellation [9] and IA [10]. These kinds of interference mitigation schemes will reconstruct the interference or exploit the interference characteristics from the spacial perspective like zero-forcing precoding, and then eliminate it [11].…”

Section: ) Technical Interference and Traffic Imbalance Challengesmentioning

confidence: 99%

“…Then, we summarize the motivations of introducing incentive mechanism design, which includes the IA [10], inter-tier traffic offloading and spectrum leasing. A heterogeneous UDN is illustrated in Fig.…”

Section: Mechanismmentioning

confidence: 99%

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DISCO: Interference-Aware Distributed Cooperation with Incentive Mechanism for 5G Heterogeneous Ultra-Dense Networks

Yang

Xiao

et al. 2018

IEEE Commun. Mag.

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Abstract-Interference and traffic imbalance hinder the improved system performance in heterogeneous ultra-dense networks. Network cooperation becomes a promising paradigm with sophisticated techniques which can significantly enhance the performance. In this article, a coalition game-theoretic framework is introduced to characterize the cooperative behaviors, and thus exploring these cooperative benefits and diversity gains. First, we introduce the basis of the coalition games, and then we survey its latest applications, in particular, the interference mitigation and traffic offloading. Different from most of the current applications, we concentrate on the cooperative incentive mechanism design since the node cooperation always means resource consumption and other costs. Moreover, for the incentive mechanism, a cooperative spectrum leasing is introduced. To mitigate the interference and balance traffic, we propose two schemes under the presented framework: interference alignment with spectrum leasing (IASL) and traffic offloading with spectrum leasing (TOSL). Simulation results show the improved performance of the cooperative gains using the proposed IASL and TOSL schemes.

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“…The proposed scheme minimizes the distance between the subspaces of the co-tier and cross-tier interferences, and aligns them into the same orthogonal subspace at each primary user. In [16], Guler et al focus on the uplink interference management in heterogeneous cellular systems, and designed an IA based precoder. The precoding design was accomplished using successive semi-definite programming (SDP), aiming to minimize the cross-tier interference leakage while providing a suboptimal received signal to interference plus noise ratio (SINR).…”

Section: Introductionmentioning

confidence: 99%

Cognitive Interference Alignment Schemes for IoT Oriented Heterogeneous Two-Tier Networks

Tian

Wang

et al. 2018

Sensors

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This paper considers interference management and capacity improvement for Internet of Things (IoT) oriented two-tier networks by exploiting cognition between network tiers with interference alignment (IA). More specifically, we target our efforts on the next generation two-tier networks, where a tier of femtocell serving multiple IoT devices shares the licensed spectrum with a tier of pre-existing macrocell via a cognitive radio. Aiming to manage the cross-tier interference caused by cognitive spectrum sharing as well as ensure an optimal capacity of the femtocell, two novel self-organizing cognitive IA schemes are proposed. First, we propose an interference nulling based cognitive IA scheme. In such a scheme, both co-tier and cross-tier interferences are aligned into the orthogonal subspace at each IoT receiver, which means all the interference can be perfectly eliminated without causing any performance degradation on the macrocell. However, it is known that the interference nulling based IA algorithm achieves its optimum only in high signal to noise ratio (SNR) scenarios, where the noise power is negligible. Consequently, when the imposed interference-free constraint on the femtocell can be relaxed, we also present a partial cognitive IA scheme that further enhances the network performance under a low and intermediate SNR. Additionally, the feasibility conditions and capacity analyses of the proposed schemes are provided. Both theoretical and numerical results demonstrate that the proposed cognitive IA schemes outperform the traditional orthogonal precoding methods in terms of network capacity, while preserving for macrocell users the desired quality of service.

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Uplink Interference Management for Coexisting MIMO Femtocell and Macrocell Networks: An Interference Alignment Approach

Cited by 35 publications

References 28 publications

Cluster based resource allocation in two‐tier HetNets with hierarchical throughput constraints

Cluster based resource allocation in two‐tier HetNets with hierarchical throughput constraints

DISCO: Interference-Aware Distributed Cooperation with Incentive Mechanism for 5G Heterogeneous Ultra-Dense Networks

Cognitive Interference Alignment Schemes for IoT Oriented Heterogeneous Two-Tier Networks

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