A Novel Interference Draining Scheme for Cognitive Radio Based on Interference Alignment

Zhou, Haichuan; Ratnarajah, Tharmalingam

doi:10.1109/dyspan.2010.5457891

Cited by 22 publications

(25 citation statements)

References 12 publications

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“…Unlike existing work which addresses static cooperation among the secondary nodes, i.e., implicit cooperation among mutual interferers [18], [30], [31], our proposed approach allows the SBSs to autonomously decide on when to cooperate and with whom, based on their self-organizing capabilities. In addition, the proposed solution is that the proposed scheme is not only beneficial for the small cells (in terms of spectral efficiency and increased data rates), but also for macro cell performance, in terms of improved interference mitigation and minimum QoS guarantees.…”

Section: Introductionmentioning

confidence: 99%

“…When condition (5) is verified for all the coalition members, the precoding matrices represent the IA concept solution, which can be obtained through the minimization of the interference leakage, for example [29]. Otherwise, when the macrocell rates decrease due to the small cell transmissions, we propose an interference draining scheme, which generalizes the concept of timebased approach in [30] to the case of frequency underlaid transmissions. Accordingly, two cooperative SBSs align their transmissions on mutually orthogonal interference subspaces, while maintaining a strong SIR at the MUEs in proximity.…”

Section: A Cooperative Spatial Coding Techniques For Small Cell Tranmentioning

confidence: 99%

“…In addition, such an approach has full reuse of the degrees of freedom in both space and frequency domains, provided that the interference constraints are verified. In [30], an opportunistic technique for interference-limited networks is presented to enable the interference draining in the space and time domain and increase the number of secondary users in the system. In [31], the extension of IA to the time domain is combined with a partial alignment technique for data rate enhancement of secondary networks.…”

Section: Introductionmentioning

confidence: 99%

“…To overcome these IA limitations, the concept of interference draining (ID) [30] has been recently introduced with the purpose of reusing the degrees of freedom unused by the macrocell, while controlling the interference brought to the macrocell tier. In essence, ID is an extension of the IA solution to the case of shared spectrum deployments.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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Section: Introductionmentioning

confidence: 99%

Section: A Cooperative Spatial Coding Techniques For Small Cell Tranmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving Macrocell-Small Cell Coexistence Through Adaptive Interference Draining

Pantisano

Bennis²,

Saad³

et al. 2014

IEEE Trans. Wireless Commun.

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show abstract

“…The cognitive radio (CR) paradigm aims to mitigate this spectrum crunch by opportunistically exploiting unused licensed spectrum bands that are allocated to the primary communications systems [1]. Since it is a key design objective to not compromise the performance of the primary system, CR schemes are Manuscript received January 5, 2014; revised May 8, 2014 and July 18,2014.…”

Section: Introductionmentioning

confidence: 99%

Spatial Sensing and Cognitive Radio Communication in the Presence of a <inline-formula> <tex-math notation="TeX">$K$</tex-math></inline-formula>-User Interference Primary Network

Alizadeh

Bahrami

Maleki

et al. 2015

IEEE J. Select. Areas Commun.

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Abstract-We study the feasibility of cognitive radio (CR) communication in the presence of a K-user multi-input multioutput (MIMO) interference channel as the primary network. Assuming that the primary interference network has unused spatial degrees of freedom (DoFs), we first investigate the sufficient condition on the number of antennas at the secondary transmitter under which the secondary system can communicate while causing no interference to the primary receivers. We show that, to maximize the benefit, the secondary transmitter should have at least the same number of antennas as the spatial DoFs of the primary system. We then derive the secondary precoding and decoding matrices to have zero interference leakage into the primary network while the signal-to-interference plus noise ratio (SINR) at the secondary receiver is maximized. As the success of the secondary communication depends on the availability of unused DoFs, we then propose a fast sensing method based on the eigenvalue analysis of the received signal covariance matrix to determine the availability of unused DoFs or equivalently spatial holes. Since the proposed fast sensing method cannot identify the indices of inactive primary streams, we also provide a fine sensing method based on the generalized likelihood ratio test (GLRT) to decide the absence of individual primary streams. Simulation results show that the proposed CR sensing and transmission scheme can, in practice, provide a significant throughput while causing no interference to the primary receivers, and that the sensing detects the spatial holes of the primary network with high detection probability.Index Terms-Cognitive radio, K-user MIMO interference channel, interference alignment, null space sensing, spatial holes, eigenvalue-based sensing, GLRT detector.

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Null-Space Precoder for Dense 4G and Beyond Networks

Cardoso

Maso

Debbah

2013

Resource Allocation and MIMO for 4G and Beyond

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A Novel Interference Draining Scheme for Cognitive Radio Based on Interference Alignment

Cited by 22 publications

References 12 publications

Improving Macrocell-Small Cell Coexistence Through Adaptive Interference Draining

Improving Macrocell-Small Cell Coexistence Through Adaptive Interference Draining

Spatial Sensing and Cognitive Radio Communication in the Presence of a <inline-formula> <tex-math notation="TeX">$K$</tex-math></inline-formula>-User Interference Primary Network

Null-Space Precoder for Dense 4G and Beyond Networks

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