Delay constrained throughput optimization in multi-hop AF relay networks, using limited quantized CSI

Taki, Mehrdad; Svensson, Tommy; Nezafati, Mohammad Bagher

doi:10.1186/s13638-019-1423-3

Cited by 7 publications

(8 citation statements)

References 47 publications

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“…To compute the complexity of the SQP based inner loop optimization, the subproblem (31,32) is considered, where the gradient of the objective function is computed as…”

Section: Appendixmentioning

confidence: 99%

MSE Minimized Joint Transmission in Coordinated MultiPoint Systems with Sparse Feedback and Constrained Backhaul Requirements

Nezafati

Taki

Svensson

2021

Preprint

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In a joint transmission coordinated multipoint (JT-CoMP) system, a shared spectrum is utilized by all neighbor cells. In the downlink, a group of base stations (BSs) coordinately transmit the users’ data to avoid serious interference at the users in the boundary of the cells, thus substantially improving area fairness. However, this comes at the cost of high feedback and backhaul load; In a frequency division duplex (FDD) system, all users at the cell boundaries have to collect and send feedback of the downlink channel state information (CSI). In centralized JT-CoMP, although with capabilities for perfect coordination, a central coordination node (CCN) have to send the computed precoding weights and corresponding data to all cells which can overwhelm the backhaul resources. In this paper, we design a JT-CoMP scheme, by which the sum of the mean square error (MSE) at the boundary users is minimized, while feedback and backhaul loads are constrained and the load is balanced between BSs. Our design is based on the singular value decomposition (SVD) of CSI matrix and optimization of a binary link selection matrix to provide sparse feedback -constrained backhaul link. For comparison, we adopt the previously presented schemes for feedback and backhaul reduction in the physical layer. Extensive numerical evaluations show that the proposed scheme can reduce the MSE with at least 25%, compared to the adopted and existing schemes.

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“…To compute the complexity of the SQP based inner loop optimization, the subproblem (31,32) is considered, where the gradient of the objective function is computed as…”

Section: Appendixmentioning

confidence: 99%

MSE Minimized Joint Transmission in Coordinated MultiPoint Systems with Sparse Feedback and Constrained Backhaul Requirements

Nezafati

Taki

Svensson

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…They compared their scheme with uniform allocation and max-min bandwidth allocations schemes and claimed 12 percent and 20 percent improvement with respect to compared the schemes, respectively. A delay constraint multihop network was considered in [45]. In this work, the rates and the power are adaptively adjusted in such a way to ensure average power constraint at each node.…”

Section: Related Workmentioning

confidence: 99%

QoS‐Oriented Optimal Relay Selection in Cognitive Radio Networks

Alvi

Hussain

Shakeel

et al. 2021

Wireless Communications and Mobile Computing

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A cognitive radio network can be employed in any wireless communication systems, including military communications, public safety, emergency networks, aeronautical communications, and wireless-based Internet of Things, to enhance spectral efficiency. The performance of a cognitive radio network (CRN) can be enhanced through the use of cooperative relays with buffers; however, this incurs additional delays which can be reduced by using virtual duplex relaying that requires selection of a suitable relay pair. In a virtual duplex mode, we mimic full-duplex links by using simultaneous two half-duplex links, one transmitting and the other one receiving, in such a way that the overall effect of duplex mode is achieved. The relays are generally selected based on signal-to-interference-plus-noise ratio (SINR). However, other factors such as power consumption and buffer capacity can also have a significant impact on relay selection. In this work, a multiobjective relay selection scheme is proposed that simultaneously takes into account throughput, delay performance, battery power, and buffer status (i.e., both occupied and available) at the relay nodes while maintaining the required SINR. The proposed scheme involves the formulation of four objective functions to, respectively, maximize throughput and buffer space availability while minimizing the delay and battery power consumption. The weighted sum approach is then used to combine these objective functions to form the multiobjective optimization problem and an optimal solution is obtained. The assignments of weights to objectives have been done using the rank sum (RS) method, and several quality-of-service (QoS) profiles have been considered by varying the assignment of weights. The results gathered through simulations demonstrate that the proposed scheme efficiently determines the optimal solution for each application scenario and selects the best relay for the respective QoS profile. The results are further verified by using the genetic algorithm (GA) and particle swarm optimization (PSO) techniques. Both techniques gave identical solutions, thus validating our claim.

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“…In this paper, we design a novel JT-CoMP transmission scheme based on singular value decomposition (SVD) to minimize the sum mean square error (MSE) at boundary users. As in practical networks especially mobile systems, implementation of continuous rate adaptation is impossible and rate is selected from a limited discrete set [29][30][31], we consider the MSE criteria for system performance evaluation. We optimize a binary link selection matrix, in which each element corresponds to the link between an antenna of a BS and an antenna of a user.…”

Section: Introductionmentioning

confidence: 99%

MSE Minimized Joint Transmission in Coordinated MultiPoint Systems with Sparse Feedback and Constrained Backhaul Requirements

Nezafati¹,

Taki²,

Svensson

2020

Preprint

Self Cite

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In a joint transmission coordinated multipoint (JT-CoMP) system, a shared spectrum is utilized by all neighbor cells. In the downlink, a group of base stations (BSs) coordinately transmit the users’ data to avoid serious interference at the users in the boundary of the cells, thus substantially improving area fairness. However, this comes at the cost of high feedback and backhaul load; In a frequency division duplex (FDD) system, all users at the cell boundaries have to collect and send feedback of the downlink channel state information (CSI). In centralized JT-CoMP, although with capabilities for perfect coordination, a central coordination node (CCN) have to send the computed precoding weights and corresponding data to all cells which can overwhelm the backhaul resources. In this paper, we design a JT-CoMP scheme, by which the sum of the mean square error (MSE) at the boundary users is minimized, while feedback and backhaul loads are constrained and the load is balanced between BSs. Our design is based on the singular value decomposition (SVD) of CSI matrix and optimization of a binary link selection matrix to provide sparse feedback - constrained backhaul link. For comparison, we adopt the previously presented schemes for feedback and backhaul reduction in the physical layer. Extensive numerical evaluations show that the proposed scheme can reduce the MSE with at least 25% , compared to the adopted and existing schemes.

show abstract

Delay constrained throughput optimization in multi-hop AF relay networks, using limited quantized CSI

Cited by 7 publications

References 47 publications

MSE Minimized Joint Transmission in Coordinated MultiPoint Systems with Sparse Feedback and Constrained Backhaul Requirements

MSE Minimized Joint Transmission in Coordinated MultiPoint Systems with Sparse Feedback and Constrained Backhaul Requirements

QoS‐Oriented Optimal Relay Selection in Cognitive Radio Networks

MSE Minimized Joint Transmission in Coordinated MultiPoint Systems with Sparse Feedback and Constrained Backhaul Requirements

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