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On the Asymptotic Sum-Rate in 2脳N脳2 Dual-Hop Relaying with Quality based Channel Reporting and Relay Selection

机译:在2脳n脳2双跳中继中的渐近和率,具有基于质量的通道报告和中继选择

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In this paper, we prove the asymptotic sum-rate growth like 2 log log N can be achieved in 2脳N脳2 dual-hop relaying systems with 2 transmit antennas at a base station (or a source), N 驴 2 single receive/transmit antenna relays and 2 destination users with a single antenna. The capacity is achieved when the base station transmits with zero-forcing beamforming and the relays that actively transmit are selected with semi-orthogonal relay selection principle. Since the base station should know the channel information to the relays, the feedback load grows prohibitively large if N 驴 驴. To reduce the feedback load from the relays to the base station, we use quality-based channel state reporting (QBR). Numerical results show that the sum-rate achieved by N relays gets close to its multiuser counterpart if the amplifying gain at the relay is large. We also show how QBR is effective in reducing the feedback load when N is large.
机译:在本文中,我们证明了渐近的总和增长,如2个日志log n可以在2脳n脳2双跳中继系统中实现,其中2个发射天线(或源),n≥2单个接收/传输天线继电器和2个目的地用户,具有单个天线。当基站通过零强制波束成形发送时,实现能力,并且通过半正交中继选择原理选择主动发送的继电器。由于基站应该知道频道信息到继电器,如果n≠驴,则反馈负荷增长过大。为了将来自继电器的反馈负载降低到基站,我们使用基于质量的信道状态报告(QBR)。数值结果表明,如果继电器处的放大增益大,则N继电器实现的总和率接近其多用户对应物。我们还展示QBR如何有效地减少N型大的反馈负载。

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