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INTERFERENCE ALIGNMENT WITH PARTIAL CSI FEEDBACK IN MIMO CELLULAR NETWORKS
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INTERFERENCE ALIGNMENT WITH PARTIAL CSI FEEDBACK IN MIMO CELLULAR NETWORKS

Category :


Sub Category : MIMO


Project Code : ITDSP07


Project Abstract

Interference alignment (IA) is a linear pre-coding strategy that can achieve optimal capacity scaling at high SNR in interference networks. However, most existing IA designs require full channel state information (CSI) at the transmitters, which could lead to significant CSI signaling overhead. There are two techniques, namely CSI quantization and CSI feedback filtering that reduce CSI feedback overhead. In this paper, we consider IA processing with CSI feedback filtering in MIMO cellular networks. We introduce a novel metric, namely the feedback dimension, to quantify the first order CSI feedback cost associated with the CSI feedback filtering. The CSI feedback filtering poses several important challenges in IA processing. First, there is a hidden partial CSI knowledge constraint in IA precoder design, which cannot be handled using conventional IA design methodology. Furthermore, existing results on the feasibility conditions of IA cannot be applied due to the partial CSI knowledge. Finally, it is very challenging to find out how much CSI feedback is actually needed to support IA processing. We shall address the above challenges and propose a new IA feasibility condition under partial CSIT knowledge in MIMO cellular networks. Based on this, we consider the CSI feedback dimension minimization subject to the degrees of freedom requirements, and further propose an asymptotically optimal solution and derive closed-form trade-off results between the CSI feedback cost and IA performance in MIMO cellular networks.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:

·         Interference alignment (IA) was proposed as an effective means to mitigate interference in -user interference channels. By aligning the interference from different transmitters (Txs) into a lower dimensional subspace at each receiver (Rx), IA can achieve the optimal capacity scaling with respect to SNR.

·         Using Grassmannian codebooks to quantize and feedback the channel direction information (CDI) for IA processing.

PROPOSED CONCEPT:

         A CSI filtering scheme by CSI truncation is proposed to reduce the CSI feedback in MIMO interference network. A CSI filtering scheme with zero-forcing IA is proposed to eliminate the inter-cell CSI feedback in MIMO cellular networks.

         We propose a systematic framework of CSI filtering and analyze the associated tradeoff between CSI feedback cost and IA degrees of freedom (DoF).

 

TECHNIQUE:

      MIMO cellular networks.

      Interference alignment (IA).

 

TECHNIQUE:

       CSI feedback dimension.

         IA feasibility condition.

TECHNIQUE DEFINITION:

·         MIMO technologies where the available antennas are spread over a multitude of independent access points and independent radio terminals - each having one or multiple antennas.

TECHNIQUE DEFINITION:

        This information describes how a signal propagates from the transmitter to the receiver and represents the combined effect of, for example, scattering, fading, and power decay with distance.

DRAWBACKS:

   CSI feedback overhead.

     Partial CSI knowledge constraint.

ADVANTAGES:

        Reduce the CSI feedback cost of IA in MIMO cellular networks.

 

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