Scheduling and precoding in hybrid analog-digital multiantenna spectrum sharing systems

Vázquez, Miguel Ángel; Pérez-Neira, Ana I.; Corvaja, Roberto; Armada, Ana García; Lagunas, M.A.

doi:10.23919/eusipco.2017.8081501

Cited by 2 publications

(19 citation statements)

References 9 publications

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“…Ref. [21][22][23] proposed a semi-orthogonal user selection (SOUS) method. Cognitive users (CUs) whose channels are nearly orthogonal to the primary user's channel were preselected to minimize the interference to the primary user.…”

Section: Introductionmentioning

confidence: 99%

“…• To improve the spectrum efficiency of the CRN, we propose the semi-correlated semiorthogonal user selection (SC-SOUS) algorithm, which addresses the problem of joint user selection and power control for the multi-user multi-antenna underlay CRN. The algorithm is different from the SOUS algorithm in [21][22][23] since they have opposite rules in their first selection steps. • We further provide the spatial correlation-based resource sharing (SC-RS) strategy to enhance resource sharing in the CR-SWIPT network.…”

Section: Introductionmentioning

confidence: 99%

“…• We further provide the spatial correlation-based resource sharing (SC-RS) strategy to enhance resource sharing in the CR-SWIPT network. In addition to discussing spectrum efficiency in the existing spatial channel correlation-based user selection approaches [21][22][23][24][25][26], our work also considers energy utilization. • We evaluate and analyze the performance of our proposed approaches.…”

Section: Introductionmentioning

confidence: 99%

“…• We evaluate and analyze the performance of our proposed approaches. The algorithm SC-SOUS and SC-RS are compared with the user selection schemes in [21][22][23][24][25][26] from the perspectives of the sum rate and multi-user diversity gain of the CRS, harvested power at the energy harvesting primary receiver (EPR), and the computational complexity. In addition, the influences of the correlation and orthogonality thresholds are also studied on the network's performance.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Correlation-based Resource Sharing in Cognitive Radio SWIPT Networks

2022

KSII TIIS

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Cognitive radio-simultaneous wireless information and power transfer (CR-SWIPT) has attracted much interest since it can improve both the spectrum and energy efficiency of wireless networks. This paper focuses on the resource sharing between a point-to-point primary system (PRS) and a multiuser multi-antenna cellular cognitive radio system (CRS) containing a large number of cognitive users (CUs). The resource sharing optimization problem is formulated by jointly scheduling CUs and adjusting the transmit power at the cognitive base station (CBS). The effect of accessing CUs' spatial channel correlation on the possible transmit power of the CBS is investigated. Accordingly, we provide a low-complexity suboptimal approach termed the semi-correlated semi-orthogonal user selection (SC-SOUS) algorithm to enhance the spectrum efficiency. In the proposed algorithm, CUs that are highly correlated to the information decoding primary receiver (IPR) and mutually near orthogonal are selected for simultaneous transmission to reduce the interference to the IPR and increase the sum rate of the CRS. We further develop a spatial correlation-based resource sharing (SC-RS) strategy to improve energy sharing performance. CUs nearly orthogonal to the energy harvesting primary receiver (EPR) are chosen as candidates for user selection. Therefore, the EPR can harvest more energy from the CBS so that the energy utilization of the network can improve. Besides, zero-forcing precoding and power control are adopted to eliminate interference within the CRS and meet the transmit power constraints. Simulation results and analysis show that, compared with the existing CU selection methods, the proposed lowcomplex strategy can enhance both the achievable sum rate of the CRS and the energy sharing capability of the network.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Correlation-based Resource Sharing in Cognitive Radio SWIPT Networks

2022

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“…On the other hand, we consider the penalized convex-concave procedure (PCCP) [7], [8] which iteratively solves a relaxed convex version of the original problem. This method has been successfully employed for the transmit hybrid analog-digital beamforming case in [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Sparse Beamforming for mm Wave Spectrum Sharing Systems

Vázquez¹,

Blanco²,

Pérez-Neira³

2018

2018 26th European Signal Processing Conference (EUSIPCO)

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This paper deals with the problem of sparse beamforming for interference mitigation in milimiter wave (mmWave) frequency bands. Multiantenna solutions in mmWave are generally implemented with phase shifters which are known to have good interference rejection capabilities. However, phase shifters are power-demanding components and, depending on their resolution, they require bulky hardware solutions able to accommodate the control lines. On the other hand, the use of switches leads to a cost-efficient alternative able to provide a sufficiently large interference rejection while substantially reducing the hardware cost and power consumption. This work proposes a beamforming scheme able to maximize the signal-to-interferenceplus-noise ratio (SINR) assuming that the beamforming weights can only take 0 and 1 values. The resulting optimization problem is a binary quadratic fractional problem which is a difficult non-convex problem. Two optimization approaches are proposed; namely, the semidefinite relaxation and the penalized convexconcave procedure. We show that both techniques behave well in the considered scenarios and their performance is close to the optimization problem upper bound value.

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Scheduling and precoding in hybrid analog-digital multiantenna spectrum sharing systems

Cited by 2 publications

References 9 publications

Spatial Correlation-based Resource Sharing in Cognitive Radio SWIPT Networks

Spatial Correlation-based Resource Sharing in Cognitive Radio SWIPT Networks

Sparse Beamforming for mm Wave Spectrum Sharing Systems

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