Cooperative Interference Alignment in Femtocell Networks

Pantisano, Francesco; Bennis, Mehdi; Saad, Walid; Debbah, Mérouane

doi:10.1109/glocom.2011.6133906

Cited by 38 publications

(24 citation statements)

References 16 publications

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“…When forming a coalition, the basic superadditivity must be satisfied, as described in (8). Moreover, one RRH will cooperate with the other only when its utility is increased after forming a coalition.…”

Section: B Necessary Condition For Cooperationmentioning

confidence: 99%

“…In [7], femtocell spectrum sharing problem was modeled as a coalitional game in partition form, and a recursive core approach was proposed as the solution. The authors in [8] developed a coalitional model in femtocell networks, by suppressing intra-tier interference using interference alignment. Access control strategy in the uplink transmission of femtocell networks was considered via coalitional power game in [9], by modeling different types of access points as different coalitions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A coalitional game based interference management in cloud small cell networks

Sun

Peng

Zhang

et al. 2014

9th International Conference on Communications and Networking in China

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Small cells have recently emerged as an effective technology in meeting the increased demand for cellular network capacity. Cloud radio access networks (C-RANs), composed of baseband units (BBU), remote radio heads (RRH) and the optical transport network, have been introduced to harness the capacity benefits of small cells at reduced capital and operational expenses. However, dense deployment of RRHs causes severer interference among them and thus lower the spectrum efficiency. In this paper, we investigate the problem of cooperative interference management among RRHs in C-RAN based small cell networks, which are also referred to as cloud small cell networks (CSCNs). A coalitional game in simplified-partition form, where RRHs cooperate by forming coalitions to eliminate the intracoalition interference, is formulated. To analyze the formation of coalitions, a novel concept defection order is introduced, based on which the necessary conditions for RRHs to cooperate is derived, and a coalition formation algorithm called SOCFA is proposed as well. Simulation results show that our proposed algorithm yields a significant advantage reaching up to 28% relative to the non-cooperative scheme, in terms of aggregate system utility.

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Section: B Necessary Condition For Cooperationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A coalitional game based interference management in cloud small cell networks

Sun

Peng

Zhang

et al. 2014

9th International Conference on Communications and Networking in China

View full text Add to dashboard Cite

show abstract

“…However, it is hard to verify these conditions in absence of coordination among the macrocell and the small cell tiers [35], [39], [41], [53].…”

Section: B Implicit Coordination Scheme For Mues and Sbssmentioning

confidence: 99%

Improving Macrocell-Small Cell Coexistence Through Adaptive Interference Draining

Pantisano

Bennis²,

Saad³

et al. 2014

IEEE Trans. Wireless Commun.

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Abstract-The deployment of underlay small base stations (SBSs) is expected to significantly boost the spectrum efficiency and the coverage of next-generation cellular networks. However, the coexistence of SBSs underlaid to a macro-cellular network faces important challenges, notably in terms of spectrum sharing and interference management. In this paper, we propose a novel game-theoretic model that enables the SBSs to optimize their transmission rates by making decisions on the resource occupation jointly in the frequency and spatial domains. This procedure, known as interference draining, is performed among cooperative SBSs and allows to drastically reduce the interference experienced by both macro-and small cell users. At the macrocell side, we consider a modified waterfilling policy for the power allocation that allows each macrocell user (MUE) to focus the transmissions on the degrees of freedom over which the MUE experiences the best channel and interference conditions. This approach not only represents an effective way to decrease the received interference at the MUEs but also grants the SBS tier additional transmission opportunities and allows for a more agile interference management. Simulation results show that the proposed approach yields significant gains at both macrocell and small cell tiers, in terms of average achievable rate per user, reaching up to 37%, relative to the non-cooperative case, for a network with 150 MUEs and 200 SBSs.

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“…IA methods proposed for Kuser interference channels have been used in [14] and [15] for mitigating the intra-tier femtocell interference in the downlink of a split-frequency femtocell-macrocell network, in which macrocell and femtocells are assigned separate frequency bands. The three user perfect interference alignment scheme has been utilized in [16] for managing the interference between picocells and a macrocell.…”

mentioning

confidence: 99%

“…In this sense, the network model becomes similar to a K-user interference channel, to which interference alignment techniques as proposed for the original single-tier network can be applied. Reference [15] considers the intratier (femtocell-to-femtocell) interference management problem in a downlink of a femtocell network, and studies the game-theoretic strategies for femtocells. In this reference, orthogonal resource allocation is done which enables treating the femtocells forming a cluster as a K-user interference channel.…”

mentioning

confidence: 99%

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

Güler

Yener

2014

IEEE Trans. Wireless Commun.

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Abstract-This paper considers uplink interference management for two-tier cellular systems by way of Interference Alignment (IA). In order to manage the uplink interference caused by macrocell users at the femtocell base stations (FBS), cooperation between macrocell users with the closest femtocell base stations is proposed with the goal of aligning the received signals of macrocell users in the same subspace at multiple FBSs. The precoder design for macrocell users is accomplished using successive semidefinite programming relaxations. The proposed solution aims to minimize the cross-tier interference leaked to the femtocells while providing the macrocell users with a minimum received signal to interference plus noise ratio (SINR) at the macrocell base station (MBS). Intra-tier femtocell interference is dealt with minimum mean squared error (MMSE) interference suppression. Numerical results demonstrate that the proposed two-tier interference management approach improves the performance of femtocell users, while maintaining the desired quality of the communication channel of macrocell users.Index Terms-Femtocells/small cells, two-tier networks, uplink interference management, interference alignment, MMSE interference suppression.

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Cooperative Interference Alignment in Femtocell Networks

Cited by 38 publications

References 16 publications

A coalitional game based interference management in cloud small cell networks

A coalitional game based interference management in cloud small cell networks

Improving Macrocell-Small Cell Coexistence Through Adaptive Interference Draining

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

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