On the influence of the antenna pattern in noncoherent massive MIMO systems

Yammine, George; Fischer, Robert F. H.; Waldschmidt, Christian

doi:10.1109/iswcs.2015.7454370

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…is a user-specific diagonal weighting matrix acting as a spatial filter. Knowing the average power induced by each user at the base station (powerspace profile, PSP), the weighting coefficients can be optimized to maximize the signal-to-noise-plus-interference ratio (SINR) [12], [36]. Other approaches are matched weighting or antenna windowing [11].…”

Section: Noncoherent Detectionmentioning

confidence: 99%

A Noncoherent Massive MIMO System Employing Beamspace Techniques

Bucher¹,

Yammine

Fischer

et al. 2019

IEEE Trans. Veh. Technol.

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Noncoherent detection schemes are an appealing and low-complexity alternative in multiuser massive MIMO uplink systems compared to classical coherent detection algorithms, since no actual channel knowledge is required at the receiver. For noncoherent multiuser detection to function, the induced power at the base station is utilized to separate the different users. However, spatial separation is impossible when the users are located in the far-field of the receiving antenna array. Consequently, noncoherent detection fails in such scenarios. To this end, beamspace techniques can be applied, focusing the energy of the incident wave to a smaller subset of the receive antennas and enabling again the noncoherent detection scheme. This paper analyzes the beamspace capabilities of a dielectric lens and an analog beamforming network applied at the receiver. Furthermore, a sub-array architecture is proposed, relaxing the design requirements for practical implementation. It is shown that noncoherent detection in combination with beamspace techniques performs comparably to channel-estimation-based detection. In addition, the sub-array architecture revealed a significant performance enhancement accompanied by a reduced user separability.

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Section: Noncoherent Detectionmentioning

confidence: 99%

A Noncoherent Massive MIMO System Employing Beamspace Techniques

Bucher¹,

Yammine

Fischer

et al. 2019

IEEE Trans. Veh. Technol.

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“…is the user-specific diagonal weighting matrix, which is numerically optimized for maximum signal-to-interference-plus-noise ratio (SINR) [6]. The SINR purely depends on the power-space profiles P m,u and the noise variance σ 2 n .…”

Section: B Noncoherent Detectionmentioning

confidence: 99%

“…An alternative approach is offered by noncoherent detection, which does not require channel estimation. Inspired from ultrawideband communication systems and applied to the massive MIMO case, noncoherent detection schemes were presented in [4], [5] and assessed for a uniform linear array at the base station, where antennas were employed having omnidirectional and directional characteristics [6]. However, the performance has been evaluated for theoretical (mathematically generated) antenna patterns.…”

Section: Introductionmentioning

confidence: 99%

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Antenna Design For Noncoherent Massive MIMO Systems

Bucher¹,

Ragab²,

Yammine³

et al. 2018

2018 15th International Symposium on Wireless Communication Systems (ISWCS)

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Massive MIMO is one of the key technologies that enables an increase in capacity in multiuser MIMO systems. However, these systems suffer from high channel estimation complexity and its degradation due to pilot contamination. An attractive way to overcome the key problems of massive MIMO is to resort to noncoherent detection since no actual channel knowledge is needed at the receiver. In this paper, an appropriate antenna design at the base station is proposed when applying noncoherent detection methods. Thereby, the influence of the main antenna characteristics, namely the radiation pattern, gain, and mutual coupling on the symbol error rate performance is assessed for realistic antennas. The evaluation is based on the COST 2100 channel model, properly adapted to the massive MIMO setting. It is shown that proper antenna design can enhance the symbol error rate performance in the noncoherent case in contrast to coherent detection. More specifically, the base station should be equipped with high gain and highly directional antennas. In addition, mutual coupling between adjacent antenna elements at base station may enhance the system performance when present.

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Performance/complexity comparison of SVD vs. SURV for subspace estimation in noncoherent massive MIMO

Yammine

Fischer

2017

2017 International Symposium on Wireless Communication Systems (ISWCS)

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On the influence of the antenna pattern in noncoherent massive MIMO systems

Cited by 7 publications

References 10 publications

A Noncoherent Massive MIMO System Employing Beamspace Techniques

A Noncoherent Massive MIMO System Employing Beamspace Techniques

Antenna Design For Noncoherent Massive MIMO Systems

Performance/complexity comparison of SVD vs. SURV for subspace estimation in noncoherent massive MIMO

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