IEEE Wireless Commun. Lett.

2015

DOI: 10.1109/lwc.2015.2402126

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Resource Provisioning in Wireless Virtualized Networks via Massive-MIMO

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Saeedeh Parsaeefard

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,

Mahsa Derakhshani

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et al.

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Cited by 41 publications

(26 citation statements)

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“…In the proposed Algorithm 1 to solve problem (7), we first apply the framework proposed in [12] to derive the optimum values of P, β, and N for a fixed τ in Step 1. Then, for the obtained values of P, β, and N, we derive the optimal value of τ in Step 2.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…In the context of VWNs, [12] has studied the benefits of applying massive MIMO on the achieved network throughput and shown that the feasibility region of optimization problem is considerably expanded and the overall system throughput is improved as a result. Both perfect and imperfect channel estimation have been considered with fixed pilot duration in [12].…”

Section: Introductionmentioning

confidence: 99%

“…Both perfect and imperfect channel estimation have been considered with fixed pilot duration in [12]. In this paper, we aim to investigate whether and to what extent adaptive pilot duration allocation can improve the network performance.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive pilot-duration and resource allocation in virtualized wireless networks with massive MIMO

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et al. 2016

2016 IEEE Wireless Communications and Networking Conference

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Abstract-This paper investigates the resource allocation problem for a virtualized wireless network (VWN) in which each base station (BS) is equipped with a large number of antennas and due to the pilot contamination error, the perfect estimation of channel state information (CSI) is not available. In this case, the duration of pilot sequence transmission plays a critical role on the achieved VWN throughput. Therefore, we consider this parameter as a new optimization variable and propose a novel utility function for the resource allocation problem. The proposed optimization problem is non-convex with high computational complexity. To address this issue, by applying relaxation and variable transformation techniques, we propose a two-step iterative algorithm in which the allocation of power, sub-carrier and number of antennas is first established and then used to optimize the pilot duration. Simulation results reveal that proper pilot duration design improves the VWN performance.Index Terms-Massive multiple-input multiple-output, pilot contamination error, virtualized wireless networks.

“…In the proposed Algorithm 1 to solve problem (7), we first apply the framework proposed in [12] to derive the optimum values of P, β, and N for a fixed τ in Step 1. Then, for the obtained values of P, β, and N, we derive the optimal value of τ in Step 2.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…In the context of VWNs, [12] has studied the benefits of applying massive MIMO on the achieved network throughput and shown that the feasibility region of optimization problem is considerably expanded and the overall system throughput is improved as a result. Both perfect and imperfect channel estimation have been considered with fixed pilot duration in [12].…”

Section: Introductionmentioning

confidence: 99%

“…Both perfect and imperfect channel estimation have been considered with fixed pilot duration in [12]. In this paper, we aim to investigate whether and to what extent adaptive pilot duration allocation can improve the network performance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive pilot-duration and resource allocation in virtualized wireless networks with massive MIMO

¹

,

²

,

³

et al. 2016

2016 IEEE Wireless Communications and Networking Conference

Self Cite

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Abstract-This paper investigates the resource allocation problem for a virtualized wireless network (VWN) in which each base station (BS) is equipped with a large number of antennas and due to the pilot contamination error, the perfect estimation of channel state information (CSI) is not available. In this case, the duration of pilot sequence transmission plays a critical role on the achieved VWN throughput. Therefore, we consider this parameter as a new optimization variable and propose a novel utility function for the resource allocation problem. The proposed optimization problem is non-convex with high computational complexity. To address this issue, by applying relaxation and variable transformation techniques, we propose a two-step iterative algorithm in which the allocation of power, sub-carrier and number of antennas is first established and then used to optimize the pilot duration. Simulation results reveal that proper pilot duration design improves the VWN performance.Index Terms-Massive multiple-input multiple-output, pilot contamination error, virtualized wireless networks.

“…[8] investigates the advantages of full-duplex transmission relay in VWN. [9] studies the effects of deploying a large number of antennas in VWN to improve the total performance. However, more spectrum efficient approaches are required in a VWN due to the challenges in providing the isolation among slices.…”

Section: Introductionmentioning

confidence: 99%

Power-Efficient Resource Allocation in NOMA Virtualized Wireless Networks

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³

et al. 2016

2016 IEEE Global Communications Conference (GLOBECOM)

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“…In [7], the advantages of full-duplex transmission relay in VWN is investigated. In [8], a large number of antennas is applied to a VWN to improve its total performance.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Resource Allocation in Multi-Cell Virtualized Wireless Networks

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et al. 2015

2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

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Abstract-This paper considers the down-link transmission of an OFDMA-based multi-cell virtualized wireless network (VWN) to serve users belonging to different service providers (slices) with the quality-of-service (QoS) requirements in terms of each slice's minimum reserved rate. In order to improve energy efficiency, we formulate a joint base station (BS) assignment, sub-carrier and power allocation problem to minimize the total transmit power of all the BSs subject to the QoS constraints. This problem is inherently a non-convex optimization problem. To tackle its computational complexity, we apply successive convex approximation (SCA) and complementary geometric programming (CGP) to convert the problem into a computationally efficient formulation and propose an iterative algorithm for solving the problem. We introduce a variable called user association factor (UAF) for jointly assigning users to both BSs and sub-carriers. Simulation results illustrate the performance enhancement of the VWN achieved through our formulation for different network scenarios.

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