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In this paper, we propose efficient Zero-Forcing (ZF) Detectors based on the a Group Detection (GD) approach in order to reduce the computational cost of the conventional linear detectors when they are adopted in Massive MIMO systems. Using the GD, we first divide a Massive MIMO system into two MIMO ones with smaller dimensions. Then, we apply the conventional ZF detector to the sub-systems to recover...
This paper considers distributed massive MIMO networks where a large number of antennas, either collocated or geographically scattered over a region, communicate with mobile users. This communication is impaired by interference from similar transmissions in adjacent regions and by noise. Focusing on zero-forcing (ZF) reception, we derive simple expressions that very accurately approximate the instantaneous...
This paper presents a receiver antenna synchronization and carrier frequency offsets pre-mitigation procedure, which is proposed for distributed massive MIMO system. The technique's performance is dependent to the SNR as well as the number of OFDM symbols per transmission packet. It has been shown that the procedure is working using a rapid prototyping platform based on WARP board. The MIMO system...
Massive multiple input multiple output (MIMO) enables the improvement on the transmission rate without increasing the burden on the signal processing by employing a large number of antennas at a base station. It was reported an effect of applying a massive MIMO to small cell at the 2-GHz band. However, main target of the massive MIMO will be the small cells at the high-frequency band, because the...
In this letter, we present a new theoretical analysis of the performance of a massive MIMO network with distributed receive antennas. We consider the uplink of a cooperative cellular network that jointly detects signals from multiple transmitters with a large number of distributed antennas. Applying zero-forcing (ZF) across the receivers, we present our accurate approximation for the signal-to-noise...
Hardware impairments effects on Massive MIMO system's capacity were investigated and seem to vanish asymptotically at the base station when equipped with a larger array. Surprisingly, the effect of the local oscillator (LO) phase noise does not strictly obey the same law as the additive noise when a common LO is utilized. Having a close look at large array base station utilizing OFDM signaling, one...
Massive MIMO enables automatic interference cancellation by a high beamforming resolution when using a linear and planer arrays. This paper investigates the interference reduction performance when considering the cylindrical array based massive MIMO in a real micro cell environment. The channel state information is obtained by using a wideband channel sounder in a 2 GHz band at an urban area. In this...
Massive MIMO enables the improvement on the transmission rate without increasing the burden on the signal processing by employing a large number of antennas at a base station. However, the interference cancellation with maximum ratio combining (MRC) does not sufficiently work when the circular array is used for the purpose on the circular cell, because the sidelobe level in the circular array is increased...
Massive multiple-input multiple-output (MIMO) systems, where the base station (BS) is equipped with a large number of antennas and the mobile devices have a single antenna, can significantly enhance the system performance. In many wireless systems inter symbol interference (ISI) due to delay dispersion of the channel can dramatically affect the demodulation process of the received signals. Precoding...
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