Efficient Feedback Design for Interference Alignment in MIMO Interference Channel

Cho, Sung-Yoon; Chae, Hyukjin; Huang, Kaibin; Kim, Dongku; Lau, V.K.N.; Seo, Hanbyul

doi:10.1109/vetecs.2012.6240175

Cited by 11 publications

(13 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Once is large enough, resulting in high SINR, then the constant term 1 in (11) can be negligible, then the average transmission rate can be approximated as (22) If approaches infinity, namely perfect CSI at the transmitters, then the interference can be cancelled completely by IA. In this case, the average transmission rate can be expressed as (23) Therefore, the performance loss caused by limited CSI feedback under the condition of large and is given by (24) (25) where (24) follows the fact that is negligible with respect to when is large enough. Given , the performance loss will enlarge as increases (due to performance ceiling mentioned above).…”

Section: Note Thatmentioning

confidence: 99%

“…Considering that the total feedback amount is constrained in practical system (due to limited feedback capacity), in order to improve the system performance, we should distribute the feedback resource among the forward and interference channels according to channel conditions. For example, the authors in [23] present a feedback allocation scheme for IA in limited feedback MIMO interference channel with single data stream for each link by minimizing the average residual interference. Then, the feedback allocation scheme is extended to the case with multiple data streams [24].…”

mentioning

confidence: 99%

See 1 more Smart Citation

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

Chen

Yuen

2014

IEEE Trans. Signal Process.

View full text Add to dashboard Cite

In this paper, we address the problem of interference alignment (IA) over MIMO interference channels with limited channel state information (CSI) feedback based on quantization codebooks. Due to limited feedback and, hence, imperfect IA, there are residual interferences across different links and different data streams. As a result, the performance of IA is greatly related to the CSI accuracy (namely number of feedback bits) and the number of data streams (namely transmission mode). In order to improve the performance of IA, it makes sense to optimize the system parameters according to the channel conditions. Motivated by this, we first give a quantitative performance analysis for IA under limited feedback and derive a closed-form expression for the average transmission rate in terms of feedback bits and transmission mode. By maximizing the average transmission rate, we obtain an adaptive feedback allocation scheme, as well as a dynamic mode selection scheme. Furthermore, through asymptotic analysis, we obtain several clear insights on the system performance and provide some guidelines on the system design. Finally, simulation results validate our theoretical claims and show that obvious performance gain can be obtained by adjusting feedback bits dynamically or selecting transmission mode adaptively.Index Terms-Adaptive feedback allocation, dynamic mode selection, interference alignment, MIMO interference channel, performance analysis.

show abstract

Section: Note Thatmentioning

confidence: 99%

mentioning

confidence: 99%

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

Chen

Yuen

2014

IEEE Trans. Signal Process.

View full text Add to dashboard Cite

show abstract

“…The average residual interference caused by imperfect IA in terms of CSI exchange amount was analyzed in [25], when there is only one data stream for each transmitterreceiver pair. Then, it was generalized to the case of multiple data streams [22], where the performance loss resulting from imperfect CSI was investigated and the corresponding performance optimization scheme was given.…”

Section: A Related Workmentioning

confidence: 99%

On Interference Alignment With Imperfect CSI: Characterizations of Outage Probability, Ergodic Rate and SER

Chen

Yuen

2016

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

In this paper, we give a unified performance analysis of interference alignment (IA) over MIMO interference channels. Rather than the asymptotic characterization, i.e. degree of freedom (DOF) at high signal-to-noise ratio (SNR), we focus on the other practical performance metrics, namely outage probability, ergodic rate and symbol error rate (SER). In particular, we consider imperfect IA due to the fact that the transmitters usually have only imperfect channel state information (CSI) in practical scenario. By characterizing the impact of imperfect CSI, we derive the exact closed-form expressions of outage probability, ergodic rate and SER in terms of CSI accuracy, transmit SNR, channel condition, number of antennas, and the number of data streams of each communication pair. Furthermore, we obtain some important guidelines for performance optimization of IA under imperfect CSI by minimizing the performance loss over IA with perfect CSI. Finally, our theoretical claims are validated by simulation results.

show abstract

“…However, it is important to quantify the performance loss in order to consider the proposed system for practical application. For this purpose, previous studies like [4]- [6] have been carried out to evaluate the performance of different IA based transmit precoding schemes with limited feedback. In particular, [4] shows that the feedback rate of a UE should scale with the average SINR in order to ensure full multiplexing gain.…”

Section: Introductionmentioning

confidence: 99%

“…The rate loss due to limited feedback is characterized in [5]. The work in [6] provides efficient feedback bit allocation strategies. However, these solutions are given for IA based precoding that deals only with ICI and in a coordinated network.…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of Multi User Multi Cell Interference Alignment with Limited Feedback

Aziz

Atanasov

Weber

2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

View full text Add to dashboard Cite

The optimum performance of a closed loop transmission scheme depends upon perfect feedback information at the transmitter. The perfect feedback requires unlimited resources in the reverse communication link. However, the feedback resources are limited in a practical system. Therefore, there is a trade off between the feedback load and the performance of transmission scheme. In this work, we evaluate the performance of multi user inter cell interference alignment (MUICIA) based transmit precoding scheme in a downlink MIMO system. It has been shown that in a system with unlimited feedback resources, MUICIA outperforms state of the art transmit precoding schemes. Here we assess the gains of MUICIA in a limited feedback uplink which is an important step in realization of this transmission scheme in practical systems. We consider two vector quantization based feedback designs. One is based on random generation of codebooks and the other is based on hierarchical codebooks.

show abstract

Efficient Feedback Design for Interference Alignment in MIMO Interference Channel

Cited by 11 publications

References 14 publications

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

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

On Interference Alignment With Imperfect CSI: Characterizations of Outage Probability, Ergodic Rate and SER

Performance Assessment of Multi User Multi Cell Interference Alignment with Limited Feedback

Contact Info

Product

Resources

About