Pricing based interference control in reversed time division duplex heterogeneous networks

Liu, Ye; Lambotharan, Sangarapillai; Nallanathan, Arumugam; Wong, Kai-Kit

doi:10.1109/icc.2016.7510740

Cited by 2 publications

(5 citation statements)

References 7 publications

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“…For more information, see http://creativecommons.org/licenses/by/3.0/ Motivated by the potential advantages of R-TDD systems, in this paper, we perform a detailed study on the interference leakage from a tier-2 BS towards nearby tier-1 BSs against pricing. Specifically, 1. We show that a pricing mechanism, in which the tier-2 BS is charged for causing interference to the tier-1 BSs, can limit the cross-tier interference leakage below any feasible targets.…”

Section: A Motivationmentioning

confidence: 94%

“…This paper differs from the previous studies in that we are interested in how a tier-2 BS behaves in the pricing-based interference control mechanism. Building on [1] in which we mainly analyze the effect of power budget of the tier-2 BS on the interference leakage towards a single tier-1 BS, in this paper, we conduct detailed analyses on a more general system setting with multiple tier-1 BSs. We show the equivalence between interference control by pricing and by issuing explicit interference constraints.…”

Section: B Related Workmentioning

confidence: 99%

“…Moreover, we assume that the distance between the tier-2 BS and each tier-1 BS is much larger than the antenna spacing at the tier-1 BS, such that the large-scale fading gain between an antenna at the tier-2 BS and an antenna at the q-th tier-1 BS is equal to a fixed value l q . 1 We assume that the tier-1 BSs are equipped with more antennas than the tier-2 BS, i.e., M q > N ∀q.…”

Section: Asymptotic Analysis Of Interference Under Pricingmentioning

confidence: 99%

“…3) When P max = 0.15 Watt and c is larger than or equal to 20, the interference from the tier-2 BS towards the tier-1 BS is larger than that when P max = 0.17 W for the same set of c values. Intuitively, the tier-2 BS would be less able to reduce interference leakage if it has less power budget; see [1,Th. 3].…”

Section: Simulation Studiesmentioning

confidence: 99%

See 3 more Smart Citations

Sensitivity and Asymptotic Analysis of Inter-Cell Interference Against Pricing for Multi-Antenna Base Stations

Liu

Lambotharan

Derakhshani

et al. 2018

IEEE Trans. Commun.

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We thoroughly investigate the downlink beamforming problem of a two-tier network in a reversed time-division duplex system, where the interference leakage from a tier-2 base station (BS) toward nearby uplink tier-1 BSs is controlled through pricing. We show that soft interference control through the pricing mechanism does not undermine the ability to regulate interference leakage while giving flexibility to sharing the spectrum. Then, we analyze and demonstrate how the interference leakage is related to the variations of both the interference prices and the power budget. Moreover, we derive a closed-form expression for the interference leakage in an asymptotic case, where both the charging BSs and the charged BS are equipped with a large number of antennas, which provides further insights into the lowest possible interference leakage that can be achieved by the pricing mechanism.

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Section: A Motivationmentioning

confidence: 94%

Section: B Related Workmentioning

confidence: 99%

Section: Asymptotic Analysis Of Interference Under Pricingmentioning

confidence: 99%

Section: Simulation Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Sensitivity and Asymptotic Analysis of Inter-Cell Interference Against Pricing for Multi-Antenna Base Stations

Liu

Lambotharan

Derakhshani

et al. 2018

IEEE Trans. Commun.

Self Cite

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“…This feature makes the Stackelberg game suitable for the resource management in 5G. For example, it allows an MBS to decide optimal interference prices after measuring transmit power of SBSs as proposed in [24] or interferences caused by SBSs as proposed in [25]. However, given the high density of the SBSs, how the MBS observes and then decides the optimal strategies is challenging.…”

Section: B Stackelberg Gamementioning

confidence: 99%

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

Luong

Wang

Niyato

et al. 2019

IEEE Commun. Surv. Tutorials

113

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This paper presents a comprehensive literature review on applications of economic and pricing theory for resource management in the evolving fifth generation (5G) wireless networks. The 5G wireless networks are envisioned to overcome existing limitations of cellular networks in terms of data rate, capacity, latency, energy efficiency, spectrum efficiency, coverage, reliability, and cost per information transfer. To achieve the goals, the 5G systems will adopt emerging technologies such as massive Multiple-Input Multiple-Output (MIMO), mmWave communications, and dense Heterogeneous Networks (HetNets). However, 5G involves multiple entities and stakeholders that may have different objectives, e.g., high data rate, low latency, utility maximization, and revenue/profit maximization. This poses a number of challenges to resource management designs of 5G. While the traditional solutions may neither efficient nor applicable, economic and pricing models have been recently developed and adopted as useful tools to achieve the objectives. In this paper, we review economic and pricing approaches proposed to address resource management issues in the 5G wireless networks including user association, spectrum allocation, and interference and power management. Furthermore, we present applications of economic and pricing models for wireless caching and mobile data offloading. Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to the 5G wireless networks.architecture and functionality needs of 5G. Horizon 2020 [2], the biggest EU Research and Innovation programme, provides funding for the 5G-Public Private Partnership (5G-PPP) to deliver solutions, architectures, technologies and standards for the ubiquitous 5G communications infrastructures.The primary technologies proposed for 5G are [3] massive Multiple-Input Multiple-Output (MIMO), dense Heterogeneous Networks (HetNets), mmWave communication, fullduplex communication, Device-to-Device (D2D) communication, energy-aware communication and energy harvesting, Cloud-Based Radio Access Networks (C-RANs), the virtualization of network resources, and so on. Compared to 4G cellular networks, 5G is expected to [3] (i) improve at least 1000 times of throughput, (ii) support higher network densification, (iii) reduce significantly latency, (iv) improve energy efficiency, and (vi) support a high density of mobile broadband users, D2D, ultra reliable, and massive Machine-Type-Communications (MTC).However, the adoption of the emerging technologies introduces challenges for the radio resource management such as user association, spectrum allocation, interference and power management. The reasons are (i) the heterogeneity and dense deployment of wireless devices, (ii) the heterogeneous radio resources, (iii) the coverage and traffic load imbalance of Base Stations (BSs), (iv) the high frequency of handovers, (v) the constraints of the fronthaul and backhaul capacities, and (vi) a large number of users and stakeholders wi...

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Pricing based interference control in reversed time division duplex heterogeneous networks

Cited by 2 publications

References 7 publications

Sensitivity and Asymptotic Analysis of Inter-Cell Interference Against Pricing for Multi-Antenna Base Stations

Sensitivity and Asymptotic Analysis of Inter-Cell Interference Against Pricing for Multi-Antenna Base Stations

Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

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