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In this paper, we propose a power allocation scheme to suppress the inter-cell interference (ICI) in multi-cell multiuser multiple-input-multiple-output (MU-MIMO) systems. In particu-lar, by adopting relaxed signal-to-leakage-and-noise ratio (SLNR) beamforming, the transmit power allocated to the user is linearly associated with the leakage, which differs from previous works. Furthermore, we obtain...
In order to fully benefit from multiple-input multiple-output (MIMO) channels, multiuser techniques are adopted in the 3rd generation partner project (3GPP) long term evolution (LTE) downlink system. The core task of multiuser MIMO system is to suppress multiuser interference and enhance the signal to interference plus noise ratio (SINR). As a classical MIMO scheme, block diagonalization (BD) algorithm...
Relay selection enhances the performance of the cooperative networks by selecting the links with higher capacity. Meanwhile link adaptation improves the spectral efficiency of wireless data-centric networks through adapting the modulation and coding schemes (MCS) to the current link condition. In this paper, relay selection is combined with link adaptation for distributed beamforming in a two-hop...
In this paper, an SLNR-based scheduling method is proposed in the MU-MIMO broadcast channel with finite rate feedback. In the proposed scheme, a user's leakage power to others is an important factor to determine whether the user should be selected. The sum rate of the proposed SLNR scheme and the traditional SINR-based scheme are compared with different system parameter settings. Simulation results...
In this paper, we propose a joint user pairing and precoding scheme in MU-MIMO broadcast channel with limited feedback. In the proposed scheme, each user feeds back its preferable precoding vector index and two scalars denoting quantization error and the largest singular value of channel matrix, respectively. Base station (BS) selects the first user who has highest estimated SINR, and generates a...
We examine the ergodic capacity of beamforming over a multiple-input single-output (MISO) time-selective channel with channel estimation error and delayed limited feedback. At each frame, the receiver obtains the minimum mean squared error estimation of the channel, chooses a transmit beamforming vector, according to the error channel estimation, from a codebook based on random vector quantization...
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