User Scheduling Algorithms in Multiuser Massive MIMO Systems Towards 5G

Maciel-Barboza, F. M.; García, Jaime Sánchez; Soriano‐Equigua, Leonel; Castillo-Soria, Francisco R.; Troncoso, Jorge Flores

doi:10.1109/tla.2015.7404908

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Now, the presented proposal is compared with the scheduling schemes described in Section 4.1 , that is the Frobenius norm-based scheduling algorithm and the fair channel allocation algorithm in terms of the mean BER. In particular, the Frobenius norm-based algorithm is known to be one of the suboptimal allocation schemes with best trade-off between implementation complexity and performance [ 27 ], for this reason, it is considered for comparative purposes. Moreover, the fair algorithm seeks an equitable transmission of all users in the MIMO system, as a consequence, it is also an interesting scheme to be compared with the algorithm proposed in this work.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…In all the aforementioned works, perfect channel estimation at the receivers is considered, which is not fulfilled in real scenarios [ 8 ]. Finally, in [ 27 ], the authors present a state-of-the-art analysis related to channel allocation (scheduling) algorithms for the downlink of massive MIMO systems. In particular, the authors present schemes based on capacity, Frobenius norm, conditional entropy, and volume, along with diagonalization pre-processing for eliminating interference between users.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

Mora

Garzón

Cacuango

et al. 2022

Sensors

View full text Add to dashboard Cite

For the receiver of multiple-input multiple-output (MIMO) systems, linear detectors are an interesting option due to their good performance and low complexity. Nevertheless, MIMO systems lose diversity in exchange for eliminating interference when linear detectors are used. Aiming to maintain the system diversity while mitigating interference between users, this work proposes a scheduling scheme for the uplink of multiuser MIMO (MU-MIMO) systems that employ A antennas and the zero-forcing (ZF) detector at the receiver in the base station (BS). The channel model includes Rician fading and additive white Gaussian noise (AWGN) in an imperfect channel estimation scenario. The proposed scheme selects U users from a group of Ut users to transmit simultaneously, so that the signal-to-noise ratio (SNR) is maximized. For this, an exact expression to evaluate the SNR of the users is obtained. With this result, the scheduling strategy is proposed. Results show that as Ut increases, the outage probability (OP), and the bit error rate (BER) decrease as the system diversity increases, even when the system is completely loaded, i.e., when U=A. Moreover, it is shown that the scheduling scheme counteracts the imperfect channel estimation effects as Ut increases. Finally, the proposed scheme is tested in presence of an external eavesdropper trying to decode the information sent by the users. The results show that the presented proposal allows for a reduction of the secrecy-outage-probability (SOP) as Ut increases.

show abstract

Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

Mora

Garzón

Cacuango

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…suboptimal linear zero-forcing (ZF) approach aiming at nulling the mutual interference, yet at the expense of the beamforming gain. The number of users may exceed the number of data streams, thus requiring a scheduling algorithm to identify the users to serve at each time instant [5].…”

Section: Introductionmentioning

confidence: 99%

Phase interpolation Fourier transform beamforming for spatial division applications

Shitvov¹,

Kozlov

Munina

et al. 2018

IET Microwaves, Antennas & Propagation

View full text Add to dashboard Cite

The spatial division represents an efficient approach to increasing data throughput in wireless networks. It can be implemented by spanning the channel in spatial domain with orthogonal beams generated by a Fourier transform (FT) beamforming network and using each beam to simultaneously convey an independent data stream from the base station (BS) to several users. This study presents a feasibility study of a simplified BS front‐end architecture based on a spatial discrete FT beamforming network, with the number of the output ports being lower than the number of the elements in the antenna array. It is shown that connecting each output port of the FT network via power dividers to several array elements, thus implementing a ‘sample‐and‐hold’ phase interpolation, preserves the orthogonality, gain and beam‐width in a narrow scanning sector. Therefore, in applications where few orthogonal beams are required to span a narrow spatial sector, the proposed approach can offer a reduction of the hardware complexity. The simulated radiation patterns for a phase interpolation Fourier beamforming network are demonstrated. The measured antenna radiation patterns are reported for the architecture implemented with a Fourier Rotman lens and Wilkinson power dividers feeding a microstrip antenna array, which confirm the simulated trends.

show abstract

A Near Optimal Scheduling Algorithm for Efficient Radio Resource Management in Multi-user MIMO Systems

Naeem

Bashir

Ullah

et al. 2019

Wireless Pers Commun

View full text Add to dashboard Cite

User Scheduling Algorithms in Multiuser Massive MIMO Systems Towards 5G

Cited by 6 publications

References 0 publications

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

A Scheduling Scheme for Improving the Performance and Security of MU-MIMO Systems

Phase interpolation Fourier transform beamforming for spatial division applications

A Near Optimal Scheduling Algorithm for Efficient Radio Resource Management in Multi-user MIMO Systems

Contact Info

Product

Resources

About