Blind interference alignment in general heterogeneous networks

Kalokidou, Vaia; Johnson, Oliver; Piechocki, Robert J.

doi:10.1109/pimrc.2014.7136277

Cited by 7 publications

(11 citation statements)

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“…where is the × 1 data stream vector of each user , and is the × beamforming matrix of user . As mentioned in [11], the choice of the beamforming matrices carrying messages to users in the main cell is not unique and should lie in a space that is orthogonal to the channels of the other − 1 users in the main cell. The beamforming matrix, for user , is given by:…”

Section: Fig 1 Example Model Of Multi-cell Mmwave Networkmentioning

confidence: 99%

“…Moreover, Blind IA was introduced, by Jafar in [10], for cellular and heterogeneous networks, by "seeing" frequency reuse as a simple form of IA. Blind IA in heterogeneous networks was generalized in [11], introducing Kronecker (Tensor) Product representation and a variation of model parameters to optimize the sum rate performance.…”

Section: Introductionmentioning

confidence: 99%

“…In [11], we introduced a Blind IA scheme, without looking into a particular frequency band, possible applications in 4G/5G networks, and without examining full inter-cell interference. In this paper, based on [11], we introduce a Blind IA scheme in mmWave multi-cell networks, i.e. considering mmWave channels, based on partially-connected antennas beamforming, where the codebook is constructed to fully mitigate inter-and intra-cell interference.…”

Section: Introductionmentioning

confidence: 99%

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Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

Kalokidou

Doufexi

Beach

2018

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)

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Enhanced network capacity and reduced overhead will be some of the future communication networks requirements. In the absence of Channel State Information (CSI) at the transmitter, Blind Interference Alignment (Blind IA) has shown that optimal Degrees of Freedom (DoF) can be achieved, minimizing network's overhead. Limited spectrum is a basic issue that millimeter-Wave (mmWave) frequencies can resolve in 5G systems. Our contribution is an interference management scheme, based on Blind IA that can be employed in multi-cell, slow-fading, mmWave networks. Blind IA manages inter-and intra-cell interference by antenna selection and appropriate message scheduling. We show that our proposed scheme achieves considerably higher sum rate than TDMA, and overall outperforms TDMA in terms of Degrees of Freedom (DoF) in most cases. Also, Blind IA provides better Bit Error Rate (BER) performance and fairness, in terms of scheduling, to the network users.

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Section: Fig 1 Example Model Of Multi-cell Mmwave Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

Kalokidou

Doufexi

Beach

2018

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)

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“…Papers [19,20] are examples of these works. Limited feedback channel and imperfect channel state information are the major concerns in some other papers [21,22] and blind algorithms are proposed to overcome this issue [23,24]. Although not specifically focused on femtocells, some results in [25,26] may also be used for this particular case as well.…”

Section: Introductionmentioning

confidence: 99%

Probability bounds of cross‐layer interference in femtocell‐underlay cellular networks employing interference alignment

Ghiamatyoun

Olfat

2019

IET Communications

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“…This would be difficult to achieve since the overhead of CSI feedback would be high . In absence of perfect or partial CSIT, the DoF of the network would collapse, and hence, the transmissions would become unreliable . An interference alignment method that did not require CSIT for the broadcast channel (BC) was first proposed in Tiango et al and then was elaborated upon in Jafar .…”

Section: Introductionmentioning

confidence: 99%

Hybrid blind interference alignment in homogeneous cellular networks with limited coherence time

Bakhshi

Ince

2018

Int J Communication

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The work presented in this paper is inspired by the user grouping approach of topological blind interference alignment (top-BIA), which is a semi-blind IA scheme and the fact that the partially connected networks can be advantageous in terms of degree of freedom (DoF) and sum rate. The hybrid-BIA scheme proposed in the paper uses top-BIA to group users that are randomly distributed in a dense small-cell network and aims to reduce the supersymbol length and overcome the DoF loss of the state-of-the-art hierarchical BIA (h-BIA) technique. The proposed scheme is very suitable for channels where coherence time is limited and also could attain a good DoF over a small number of symbol extensions.Both the sum-DoF and the network throughput for hybrid-BIA is greater than that of h-BIA. By varying the number of user groups, the paper shows that h-BIA constitutes a special case of hybrid-BIA. Finally, the paper demonstrates the effect of changing the number of transmit antennas and number of small cells on the sum-DoF gain of hybrid-BIA over that of h-BIA. KEYWORDSblind interference alignment, hierarchical BIA, hybrid-BIA, reconfigurable antenna, topological BIA Int J Commun Syst. 2019;32:e3836.wileyonlinelibrary.com/journal/dac the DoF of the network would collapse, and hence, the transmissions would become unreliable. 10 An interference alignment method that did not require CSIT for the broadcast channel (BC) was first proposed in Tiango et al 2 and then was elaborated upon in Jafar. 3 This new technique referred to as the standard blind interference alignment (s-BIA) assumes a K-user M × 1 MISO BC ([K, M] configuration) in which the BS is equipped with M transmit antennas and each receiver is equipped with a single reconfigurable antenna capable of switching between M preset modes. With no knowledge about CSIT, s-BIA can still align all intracell interference with only a mild assumption on the channel coherence structure and has been shown to achieve KM∕(K + M − 1) DoF. In addition, Lu et al 11,12 have used s-BIA under the K-user M × 1 MISO interference channel (IC) where users were assumed to have different number of preset modes. The s-BIA technique requires that the channel remains unchanged throughout the duration of the transmission. Therefore, coherence time or bandwidth is important when determining whether BIA can be used. 13 This motivates the search for BIA schemes that can provide short supersymbol lengths that will correspond to realistic coherence times. The performance of s-BIA in cellular and clustered systems was first analyzed in Wang et al. 14 It was shown that although s-BIA can totally cancel the intracell interference, the rates of users located at the cell edges will deteriorate due to the intercell interference coming from the neighboring cells. However, in Wang et al, 14,15 it is mentioned that if the BIA codes of the neighboring cells are synchronized (sync-BIA), then the effect of intercell interference can considerably be reduced.Under cellular networks, coordinated BIA scheme (c-BIA) 16 that ...

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Blind interference alignment in general heterogeneous networks

Cited by 7 publications

References 9 publications

Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

Blind Interference Alignment in Multi-Cell mmWave Access and Fronthaul

Probability bounds of cross‐layer interference in femtocell‐underlay cellular networks employing interference alignment

Hybrid blind interference alignment in homogeneous cellular networks with limited coherence time

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