Random Beamforming in MIMO Broadcast Channels with Cooperating Receive Antennas
نویسندگان
چکیده
In a Gaussian multiple-input multiple-output (MIMO) broadcast channel, the sum rate capacity can be achieved by dirty paper coding (DPC). Nevertheless, DPC is computationally intensive and requires that full channel state information (CSI) from all users in the system is available at the transmitter. However, with partial CSI at the transmitter, random beamforming [1] can exploit the inherent multiuser diversity in the MIMO broadcast channel with several users. In this work we show that with random beamforming the cooperation of the multiple receive antennas is a better policy than no cooperation at all. To this end, we consider two receive filters: the maximum ratio combiner and the Wiener filter.
منابع مشابه
Zero-forcing DPC beamforming design for multiuser MIMO broadcast channels
The sum rate maximization in multiuser MIMO broadcast channels is investigated in this paper. We first propose an approach under a total power constraint. Compared with the most related methods in the literature, the proposed method can be easily adapted to a more realistic per-antenna power constraint. Since the power of each antenna is limited individually by the linearity of its power amplif...
متن کاملOpportunistic beamforming for MIMO downlink systems with adaptive receive antennas selection
Opportunistic beamforming is a technique which uses multiple transmit antennas at the base station to induce random fading in a real system, where the environment has little sacttering and or the fading is slow, in order to exploit multiuser diversity. In this paper, opportunistic beamforming is proposed to be combined with receive antennas selection at each mobile terminal.The proposed receive...
متن کاملMIMO Broadcast and Interference Channels with Location based Partial CSIT
Multiple antennas facilitate the coexistence of multiple users in wireless communications, leading to spatial multiplexing and spatial division and to significant system capacity increase. However, this comes at the cost of very precise channel state information at the transmitters (CSIT). We advocate the use of channel propagation models to transform location information into (possibly incompl...
متن کاملOn the Degrees of Freedom of Interference Alignment for Multicell MIMO Interfering Broadcast Channels
The interference alignment (IA) is a promising technique to efficiently mitigate interference and to enhance capacity of a wireless network. This paper proposes an interference alignment scheme for a cellular network with L cells and K users under a multiple-input multiple-output (MIMO) Gaussian interfering broadcast channel (IFBC) scenario. The proposed IA scheme aligns intercell interferences...
متن کاملA Study on Mimo Beamforming for Wireless Communication Systems in Frequency-selective Fading Channels
In recent years, multiple-input multiple-output (MIMO) antennas systems have quickly become an inevitable wireless technology not only for WLANs but also for mobile networks. Based on the benefits of using multiple transmit antennas and multiple receive antennas, MIMO systems can provide high quality and high speed services. However, for high speed transmission, frequency-selective fading (FSF)...
متن کامل