Space time interference alignment scheme for the MIMO BC and IC with delayed CSIT and finite coherence time

Lejosne, Yohan; Slock, Dirk; Yuan-Wu, Yi

doi:10.1109/icassp.2013.6638586

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…Until recently, the only scheme in which the DoF are not affected by FB delay was the scheme of [6] for the MISO BC/IC, with a MIMO extension in [22] where the scheme is termed Space-Time IA (STIA). The ingredients of STIA are:…”

Section: Dof Obtained With Froi Channel Models (Cms)mentioning

confidence: 99%

Finite rate of innovation channel models and DoF of MIMO multi-user systems with delayed CSIT feedback

Lejosne

Slock

Yuan-Wu

2013

2013 Information Theory and Applications Workshop (ITA)

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Channel State Information at the Transmitter (CSIT) is of utmost importance in multiuser wireless networks, in which transmission rates at high SNR are characterized by Degrees of Freedom (DoF, the rate prelog). In recent years, a number of ingenious techniques have been proposed to deal with delayed and imperfect CSIT. However, we show that the precise impact of these techniques in these scenarios depends heavily on the channel model (CM). We introduce the use of linear Finite Rate of Information (FRoI) signals (which could also be called Basis Expansion Model (BEM)) to model time-selective channel coefficients. The FRoI dimension turns out to be well matched to Degree of Freedom (DoF) analysis since the FRoI CM allows compressed feedback (FB) and captures the DoF of the channel coefficient time series. Both the block fading model and the stationary bandlimited channel model are special cases of the FRoI CM. However, the fact that FRoI CMs model stationary channel evolutions allows to exploit one more dimension: arbitrary time shifts. In this way, the FroI CM allows to maintain the DoF unaffected in the presence of CSIT feedback (FB) delay, by increasing the FB rate. We call this Foresighted Channel FB (FCFB). FRoI CM relates also to (predictive) filterbanks and we work out the optimization details in the biorthogonal case (different analysis and synthesis filters). The FRoIC model with multiple basis functions accommodates FB delay beyond the coherence time and handling of users with unequal coherence times.

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Section: Dof Obtained With Froi Channel Models (Cms)mentioning

confidence: 99%

Finite rate of innovation channel models and DoF of MIMO multi-user systems with delayed CSIT feedback

Lejosne

Slock

Yuan-Wu

2013

2013 Information Theory and Applications Workshop (ITA)

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“…Concerning the K-user MISO broadcast channel (BC) networks, [6] firstly proposed space-time interference alignment scheme (STIA) with moderately delayed CSIT, it utilized both physical-layer network coding (PNC) and IA to eliminate interference in space-time domain. Then, the study was extended to different application scenarios in [7]- [9]. In specific, [7] put forward the distributed space-time interference alignment (DSTIA) where the scheme was fit for both 2-user SISO X-channel (XC) and 3-user SISO interference channel (IC).…”

Section: Introductionmentioning

confidence: 99%

“…The results indicated that, when each transmitter was equipped with K − 1 antennas to serve for K users, the upper bound of DoF could be attained, i.e., K − 1 DoF. Subsequently, the DSTIA got applied in more complicated networks, like K-user MIMO BC and K-user MIMO IC networks [9]. Although the improvements of DoF via STIA were considerable, the precoding matrices design relied on the relationship between feedback delay and coherent time, i.e., the time span of feedback delay must be shorter than the time span of coherent time.…”

Section: Introductionmentioning

confidence: 99%

Retrospective Interference Regeneration Schemes for Relay-Aided K-user MIMO Downlink Networks

Li¹,

Xiong²,

Niyato³

et al. 2021

Preprint

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As a novel method to increase channel capacity of networks, interference alignment (IA) technique has attracted wide attention in fifth-generation wireless networks (5G). However, when it is applied in interference networks, the problem about information delay arises which has not been noticed yet. In this paper, we first propose degree of delay (DoD) to quantify the issue of information delay, and characterize DoD for three typical transmission schemes, i.e., TDMA, beamforming based TDMA (BD-TDMA) and retrospective interference alignment (RIA). By analyzing DoD of these schemes, its value mainly depends on three factors, i.e., delay sensitive factor, queueing delay slot and size of dataset. Therefore, to improve queueing delay slot and reduce DoD, three novel joint IA schemes are proposed for BC networks with different amounts of users. That is, hybrid antenna array based partial interference elimination and retrospective interference regeneration scheme (HAA-PIE-RIR), HAA based improved PIE and RIR scheme (HAA-IPIE-RIR) and HAA based cyclic interference elimination and RIR scheme (HAA-CIE-RIR). The second scheme extends the application scenarios of the first scheme from 2-user to K-user while brings huge computational burden. The third scheme relieves this computational complexity burden but it has somewhat degree of freedom (DoF) loss. Overall, the performances of proposed schemes are all superior to that of traditional IA techniques in DoF and DoD.Index Terms-multi-user MIMO broadcast networks, degree of freedom, degree of delay, hybrid antenna array structure of relay, interference elimination and retrospective interference regeneration.

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“…The core idea of the STIA is that, in block fading model, the transmitter combines IA technique with physical network coding (PNC) to eliminate interference in space-time domain. Subsequent studies achieve extensions of the STIA to different application scenarios [15]- [17]. In particular, [15] puts forward distributed STIA (DSTIA) for 2 × 2 user SISO X-channel (XC) and 3 × 3 user SISO interference channel (IC) which achieves 4/3 and 6/5 DoF respectively.…”

Section: Introductionmentioning

confidence: 99%

“…[16] introduces DSTIA into the K-user MISO IC and achieves K −1 DoF. For K-user MIMO BC and K-user MIMO IC, [17] analyzes the trade-off strategy between achievable DoF and the range of CSI delay. However, the DoF gain of the STIA is restricted to the time span of the feedback delay, i.e., the time span of the feedback delay cannot exceed the time span of the coherent time.…”

Section: Introductionmentioning

confidence: 99%

Two New Kinds of Interference Alignment Schemes for Cellular K-user MIMO Downlink Networks

Li¹,

Wang²,

Yu³

et al. 2021

Preprint

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It is known that interference alignment (IA) plays an important role in improving the degree of freedom (DoF) of multi-input and multi-output (MIMO) systems. However, most of the traditional IA schemes suffer from the high computational complexity and require the global and instantaneous channel state information (CSI), both of which make them difficult to be extended to cellular MIMO systems. To handle these issues, two new interference alignment schemes, i.e., the retrospective interference regeneration (RIR) scheme and the beamforming based distributed retrospective interference alignment (B-DRIA) scheme, are proposed for cellular K-user MIMO downlink networks. For the RIR scheme, it adopts interference elimination algorithm to erase redundant symbols in inter-cell interference (ICI) signals, and then uses interference regeneration algorithm to avoid secondary interference. The RIR scheme obtains greater DoF gain than the retrospective interference alignment (RIA) scheme, but incurs performance degradation when the transceiver antennas ratio (TAR) approaches 1. Therefore, the B-DRIA scheme is further proposed. For the B-DRIA scheme, the cellular beamforming matrix is introduced to eliminate the ICI, and meanwhile distributed retrospective interference alignment algorithm is adopted to align inter-user interference (IUI). The simulation results show that the B-DRIA scheme obtains larger DoF than the RIR scheme locally. Specifically, when TAR approaches 1, two schemes obtain the same DoF. While TAR approaches 2, the DoF of the B-DRIA scheme is superior than the RIR scheme.

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Space time interference alignment scheme for the MIMO BC and IC with delayed CSIT and finite coherence time

Cited by 6 publications

References 20 publications

Finite rate of innovation channel models and DoF of MIMO multi-user systems with delayed CSIT feedback

Finite rate of innovation channel models and DoF of MIMO multi-user systems with delayed CSIT feedback

Retrospective Interference Regeneration Schemes for Relay-Aided K-user MIMO Downlink Networks

Two New Kinds of Interference Alignment Schemes for Cellular K-user MIMO Downlink Networks

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