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A modern GPU-powered communication system that uses multiple antenna configurations and a MIMO detector has been presented in [10].
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Simulation results show that the multiple-antenna configurations yield improved system performance compared to the case of single-input single-output (SISO) cognitive link.
Concepts developed in the WINNER project are applicable to evolving 4G standards due to common system considerations such as orthogonal frequency-division multiple access- (OFDMA-) based air interface, and support of relays and multiple-antenna configurations.
Problem of NLOS: In addition to bandwidth availability and multiple-antenna configuration, an essential requirement for the proposed algorithm to work is the availability of LOS in the radio channel.
In Section 2, a concise description of the basic architecture of IEEE 802.11n physical layer is presented, particular attention is paid to the different multiple transmit antenna configurations the standard allows.
The higher layers are modeled by considering the multiple-input multiple-output (MIMO) antenna configurations and the parameters mentioned in Table 1.
In particular, the combination of orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO) antenna configurations results in a powerful architecture, MIMO-OFDM, that is able to exploit the various degrees of freedom available in the wireless environment [1].
In this article we have considered single-input single-output (SISO), and 1 × 2 and 1 × 4 single-input multiple-output (SIMO) antenna configurations with MRC equalizer.
In this paper, we investigate the achievable ergodic SE with multiple antennas and URA configuration at the BS.
The method is suitable for single transmit and receive antennas and has easy extensions to multiple antenna scenarios.
Consider the multiple antenna systems equipped with N T transmitter antennas and N R receiver antennas.
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