Effect of spatial correlation on MMSE-based interference alignment in a multiuser MIMO MB-OFDM system

Le, Chung; Dimitrov, Emil; Anggraini, Anggia; Peissig, Jürgen; Kuchenbecker, Hans-Peter

doi:10.1109/wimob.2012.6379158

Cited by 4 publications

(2 citation statements)

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“…So each channel matrix is invertible. Since the product of invertible matrices is still invertible, according to (21)…”

Section: Lemma 1 All the Channel Matrices And Matrix T Are Invertiblementioning

confidence: 99%

“…The authors in [19] considered combining interference alignment and interference cancellation to further enhance the system throughput. In [20], the authors proposed to use multimode MIMO antennas instead of the typical omni-directional antennas to improve the performance of MIMO OFDM system with interference alignment, while in [21], the impact of antenna spatial correlation on the performance of interference alignment systems was investigated.…”

Section: Introductionmentioning

confidence: 99%

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Interference Alignment Improves the Capacity of OFDM Systems

Mao

2016

IEEE Trans. Veh. Technol.

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Abstract-Multi-user Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Output Multiple Output (MIMO) have been widely adopted to enhance the system throughput and combat the detrimental effects of wireless channels. Recently, interference alignment was proposed to exploit interference to enable concurrent transmissions of multiple signals. In this paper, we investigate how to combine these techniques to further enhance the system throughput. We first reveal the unique characteristics and challenges brought about by using interference alignment in diagonal channels. We then derive a performance bound for the multi-user (MIMO) OFDM/interference alignment system under practical constraints, and show how to achieve this bound with a decomposition approach. The superior performance of the proposed scheme is validated with simulations.

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“…So each channel matrix is invertible. Since the product of invertible matrices is still invertible, according to (21)…”

Section: Lemma 1 All the Channel Matrices And Matrix T Are Invertiblementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%