Cellular Interference Alignment with Imperfect Channel Knowledge

Tresch, Roland; Guillaud, Maxime

doi:10.1109/iccw.2009.5208018

Cited by 135 publications

(107 citation statements)

References 8 publications

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“…2 In fact, in our problem, "other-user" (i.e., self-) interference does not manifest directly, but indirectly through channel-estimation error and limited receiver-DR, both of which can become significant under very high channel-DR (e.g., 100 dB). In comparison, the MIMO-ICh has only rarely been studied under imperfect receiver CSI-see, e.g., the interference-alignment work [17]-and (to our knowledge) has never been studied under limited transmitter/receiver-DR.…”

Section: Introductionmentioning

confidence: 99%

Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range

Day¹,

Bliss²,

Margetts³

et al. 2011

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

103

299

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Abstract-In this paper, we consider the problem of full-duplex bidirectional communication between a pair of modems, each with multiple transmit and receive antennas. The principal difficulty in implementing such a system is that, due to the close proximity of each modem's transmit antennas to its receive antennas, each modem's outgoing signal can exceed the dynamic range of its input circuitry, making it difficult-if not impossible-to recover the desired incoming signal. To address these challenges, we consider systems that use pilot-aided channel estimates to perform transmit beamforming, receive beamforming, and interference cancellation. Modeling transmitter/receiver dynamic-range limitations explicitly, we derive tight upper and lower bounds on the achievable sum-rate, and propose a transmission scheme based on maximization of the lower bound, which requires us to (numerically) solve a nonconvex optimization problem. In addition, we derive an analytic approximation to the achievable sum-rate, and show, numerically, that it is quite accurate. We then study the behavior of the sum-rate as a function of signal-to-noise ratio, interference-to-noise ratio, transmitter/receiver dynamic range, number of antennas, and training length, using optimized half-duplex signaling as a baseline.

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Section: Introductionmentioning

confidence: 99%

Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range

Day¹,

Bliss²,

Margetts³

et al. 2011

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

103

299

View full text Add to dashboard Cite

show abstract

“…Both references provide DoF-achieving quantization schemes and study the required scaling of the number of feedback bits. From another point of view, [10] provides an analysis of the effect of imperfect CSI on the mutual information of the interference alignment scheme. The authors in [11] proposed a method to reduce the quantization error w.r.t.…”

Section: Introductionmentioning

confidence: 99%

Limited feedback for interference alignment in the K-user MIMO Interference Channel

Rezaee¹,

Guillaud²

2012

2012 IEEE Information Theory Workshop

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Abstract-A simple limited feedback scheme is proposed for interference alignment on the K-user Multiple-Input-MultipleOutput Interference Channel (MIMO-IC). The scaling of the number of feedback bits with the transmit power required to preserve the multiplexing gain that can be achieved using perfect channel state information (CSI) is derived. This result is obtained through a reformulation of the interference alignment problem in order to exploit the benefits of quantization on the Grassmann manifold, which is well investigated in the single-user MIMO channel. Furthermore, through simulations we show that the proposed scheme outperforms the naive feedback scheme consisting in independently quantizing the channel matrices, in the sense that it yields a better sum rate performance for the same number of feedback bits.

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“…Furthermore, the concept of decomposable channel is employed to enable a modified scheme called subspace IA, which is able to simultaneously align interference towards multiple non-intended receivers over a multidimensional space. Finally, the effect of limited feedback on cellular IA schemes has been investigated and quantified in [25,27].…”

Section: Ia and Cellular Networkmentioning

confidence: 99%

“…More specifically, the downlink of an OFDMA cellular network with clustered BS cooperation is considered in [25], where IA is employed to suppress intracluster interference while intercluster interference has to be tolerated as noise. Using simulations, it is shown therein that even with unit multiplexing gain the throughput performance is increased compared to a frequency reuse scheme, especially for the cluster-centre UTs.…”

Section: Ia and Cellular Networkmentioning

confidence: 99%

Interference mitigation techniques for clustered multicell joint decoding systems

Chatzinotas

Ottersten

2011

J Wireless Com Network

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Multicell joint processing has originated from information-theoretic principles as a means of reaching the fundamental capacity limits of cellular networks. However, global multicell joint decoding is highly complex and in practice clusters of cooperating Base Stations constitute a more realistic scenario. In this direction, the mitigation of intercluster interference rises as a critical factor towards achieving the promised throughput gains. In this paper, two intercluster interference mitigation techniques are investigated and compared, namely interference alignment and resource division multiple access. The cases of global multicell joint processing and cochannel interference allowance are also considered as an upper and lower bound to the interference alignment scheme, respectively. Each case is modelled and analyzed using the per-cell ergodic sum-rate throughput as a figure of merit. In this process, the asymptotic eigenvalue distribution of the channel covariance matrices is analytically derived based on free-probabilistic arguments in order to quantify the sum-rate throughput. Using numerical results, it is established that resource division multiple access is preferable for dense cellular systems, while cochannel interference allowance is advantageous for highly sparse cellular systems. Interference alignment provides superior performance for average to sparse cellular systems on the expense of higher complexity.

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Cellular Interference Alignment with Imperfect Channel Knowledge

Cited by 135 publications

References 8 publications

Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range

Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range

Limited feedback for interference alignment in the K-user MIMO Interference Channel

Interference mitigation techniques for clustered multicell joint decoding systems

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