CSIT sharing over finite capacity backhaul for spatial interference alignment

Rezaee, Mohsen; Guillaud, Maxime; Lindqvist, Fredrik

doi:10.1109/isit.2013.6620290

Cited by 15 publications

(19 citation statements)

References 11 publications

(15 reference statements)

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“…We focus on the scenario shown in Fig. 2 where each T X receives all the required CSI and independently designs the IA vectors [4]. But, since the backhaul links that connect transmitters to each other are of limited capacity, a codebookbased quantization is adopted to reduce the huge amount of information exchange.…”

Section: Csit Sharing Over Finite Capacity Backhaul Linksmentioning

confidence: 99%

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System performance of interference alignment under TDD mode with limited backhaul capacity

Deghel

Assaad

Debbah³

2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-This paper considers a MIMO interference system where interference alignment (IA) technique is adopted to manage the problem of interference. We consider a time division duplex (TDD) system where each transmitter estimates its channel state information (CSI) by probing the receivers. In addition, the transmitters share their local CSI estimate between each other using a backhaul links of limited capacity. A quantization over the backhaul is therefore required to reduce the amount of information to exchange. We study in this paper the impact of this quantization on the system performance and determine the optimal number of transmitter-receiver pairs that maximizes the system throughput.

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Section: Csit Sharing Over Finite Capacity Backhaul Linksmentioning

confidence: 99%

“…For instance, in [3] a compression scheme for the cloud radio access networks is proposed. In [4], the Grassmannian Manifold quantization technique was adopted to reduce the information exchange. Another scheme proposed in [5] is used in sending the channel conditions from users to transmitters.…”

Section: Introductionmentioning

confidence: 99%

System performance of interference alignment under TDD mode with limited backhaul capacity

Deghel

Assaad

Debbah³

2015

2015 IEEE International Conference on Communications (ICC)

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“…The work in [9], [10] also consider the sum rate maximization of the CoMP system with constrained backhaul. A quantization scheme for CSI sharing under finite-capacity backhaul assumption implementing interference alignment is proposed by [11]. However, such designs employ CSI quantizations, with no regard for the statistical properties of the local information already existing at the transmitter receiving the information and ignoring the potential benefits of correlated initial channel estimates available at the transmitters.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Channel Estimation for Coordinated Transmission With Limited Backhaul

Gesbert

Gresset

2017

IEEE Trans. Wireless Commun.

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Abstract-Obtaining accurate global channel state information (CSI) at multiple transmitter devices is critical to the performance of many coordinated transmission schemes. Practical CSI local feedback often leads to noisy and partial CSI estimates at each transmitter. With rate-limited bi-directional backhaul, transmitters have the opportunity to exchange few CSI-related bits to establish global channel state information at transmitter (CSIT). This work investigates possible strategies towards this goal. We propose a novel decentralized algorithm that produces minimum mean square error (MMSE)-optimal global channel estimates at each device from combining local feedback and information exchanged through backhauls. The method adapts to arbitrary initial information topologies and feedback noise statistics and can do that with a combination of closed-form and convex approaches. Simulations for coordinated multi-point (CoMP) transmission systems with two or three transmitters exhibit the advantage of the proposed algorithm over conventional CSI exchange mechanisms when the coordination backhauls are limited.

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“…For instance, in [10] a compression scheme for the cloud radio access networks is proposed. In [11], the Grassmannian Manifold quantization technique was adopted to reduce the information exchange over the backhaul. The above works on IA and limited feedback do not take into account the dynamic traffic processes of the users, meaning that they assume users with infinite back-logged data.…”

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confidence: 99%

Queueing Stability and CSI Probing of a TDD Wireless Network With Interference Alignment

Deghel

Assaad

Debbah

et al. 2018

IEEE Trans. Inform. Theory

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This paper characterizes the performance of interference alignment (IA) technique taking into account the dynamic traffic pattern and the probing/feedback cost. We consider a time-division duplex (TDD) system where transmitters acquire their channel state information (CSI) by decoding the pilot sequences sent by the receivers. Since global CSI knowledge is required for IA, the transmitters have also to exchange their estimated CSIs over a backhaul of limited capacity (i.e. imperfect case). Under this setting, we characterize in this paper the stability region of the system under both the imperfect and perfect (i.e. unlimited backhaul) cases, then we examine the gap between these two resulting regions.Further, under each case, we provide a centralized probing algorithm (policy) that achieves the max stability region. These stability regions and scheduling policies are given for the symmetric system where all the path loss coefficients are equal to each other, as well as for the general system. For the symmetric system, we compare the stability region of IA with the one achieved by a time division multiple access (TDMA) system where each transmitter applies a simple singular value decomposition technique (SVD). We then propose a scheduling policy that consists in switching between these two techniques, leading the system, under some conditions, to achieve a bigger stability region. Under the general system, the adopted scheduling policy is of a high computational complexity for moderate number of pairs, consequently we propose an approximate policy that has a reduced complexity but that achieves only a fraction of the system stability region. A characterization of this fraction is provided.

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CSIT sharing over finite capacity backhaul for spatial interference alignment

Cited by 15 publications

References 11 publications

System performance of interference alignment under TDD mode with limited backhaul capacity

System performance of interference alignment under TDD mode with limited backhaul capacity

Cooperative Channel Estimation for Coordinated Transmission With Limited Backhaul

Queueing Stability and CSI Probing of a TDD Wireless Network With Interference Alignment

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