Performance Analysis and Optimization for Interference Alignment Over MIMO Interference Channels With Limited Feedback

This paper presents a stream selection based interference alignment approach with imperfect channel state information for heterogeneous networks. The proposed solution constructs stream sequences by selecting only the strongest stream of each user where the first stream of the constructed stream sequences is associated to a pico user. While selecting the streams, the channel matrices of the unselected streams are projected orthogonally to the virtual transmit and receive channels of the selected stream in order to align the interference in the null space of these virtual channels. In addition, the influence of imperfect channel state information on the proposed algorithm is analysed. A bit allocation scheme is given by deriving an upper bound on the rate loss because of quantisation. The simulation results are carried out by considering various scenarios with different locations of pico cells at the cell edge regions of the macro cell. The performance results show that the proposed algorithm with the imperfect channel state information achieves higher performance than the existing algorithms.

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“…Because jx C yj 2 6 .jxj C jyj/ 2 , the second term of Equation (19), b, can be written as in Equation (21).…”

Section: Bit Allocation Methodsmentioning

confidence: 99%

“…Using Equations (25) and (26) in Equation (19), the optimisation problem can be expressed as follows: (27) Solutions for the problem expressed in Equation (27) are obtained by using an optimisation software tool [28]. After obtaining the B kj values, which are real numbers, a round operation is applied to get integer values.…”

Section: Bit Allocation Methodsmentioning

confidence: 99%

On stream selection for interference alignment with limited feedback in heterogeneous networks

Beyazıt

Özbek

LeźRuyet

2016

Trans. Emerging Tel. Tech.

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“…Indeed, we have k . Following the model used in [33], the channel directionh ki can be written as follows…”

Section: Derivation Of Success Probabilities and Average Ratesmentioning

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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“…However, execution of transmit antenna selection (TAS) algorithm assume usually that the perfect channel gains can be achieved at the receiver, and requirement of ideal feedback channel to the transmitter increases complexity and overheads. Therefore, sub-optimum TAS with less complexity and feedback channel with low data rate are of interest [24]- [28]. In Nakagami-m fading channels, [29] proposes a novel reduced feedback-rate transmit diversity scheme employing transmit antenna selection (TAS) and Alamouti scheme yielding robust error performance at erroneous feedback conditions.…”

Section: International Journal On Smart Sensing and Intelligent Systementioning

confidence: 99%

Performance Bound Analysis on Transmit Antennas Selection Systems Considering Erroneous Channel Information

Zhuang

2015

International Journal on Smart Sensing and Intelligent Systems

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Performance Analysis and Optimization for Interference Alignment Over MIMO Interference Channels With Limited Feedback

Cited by 65 publications

References 34 publications

On stream selection for interference alignment with limited feedback in heterogeneous networks

On stream selection for interference alignment with limited feedback in heterogeneous networks

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

Performance Bound Analysis on Transmit Antennas Selection Systems Considering Erroneous Channel Information

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