Traffic-Adaptive Spectrum Leasing Between Primary and Secondary Networks

Tan, Xuesong Jonathan; Zhan, Wen

doi:10.1109/tvt.2018.2808279

Cited by 6 publications

(8 citation statements)

References 31 publications

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“…In this regard, various research works using techniques such as game theory, matching theory, and machine learning techniques, etc., have been proposed [16]- [22]. The authors in [16] proposed a traffic-adaptive spectrum leasing scheme whereby the SUs are able to negotiate the duration of channel leasing with the PUs in order to ensure their continual utilization of the leased channel for the complete transmission of the data in their buffer. To achieve this objective, the average utilities of both the PN and SN were first formulated, after which a spectrum leasing agreement that is beneficial to both parties was developed using Stackelberg game model.…”

Section: Related Workmentioning

confidence: 99%

“…These methods comprise analytical, heuristic and machine learning based approaches. Similar optimization techniques have also been proposed for spectrum leasing [16]- [22]. However, very few research works have considered both cell switching and spectrum leasing for maximizing the revenue of the PN [23] and [24], even though only a homogeneous network deployment scenario as well as a fixed electricity and spectrum pricing policy were considered, thereby making their work quite simplistic.…”

Section: Introductionmentioning

confidence: 99%

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Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets

Abubakar¹,

Öztürk²,

Öztürk³

et al. 2021

Preprint

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One of the ways of achieving improved capacity in mobile cellular networks is via network densification. Even though densification increases the capacity of the network, it also leads to increased energy consumption which can be curbed by dynamically switching off some base stations (BSs) during periods of low traffic. However, dynamic cell switching has the challenge of spectrum under-utilization as the spectrum originally occupied by the BSs that are turned off remains dormant. This dormant spectrum can be leased by the primary network (PN) operators, who hold the license, to the secondary network (SN) operators who cannot afford to purchase the spectrum license. Thus enabling the PN to gain additional revenue from spectrum leasing as well as from electricity cost savings due to reduced energy consumption. Therefore, in this work, we propose a cell switching and spectrum leasing framework based on simulated annealing (SA) algorithm to maximize the revenue of the PN while respecting the quality-of-service constraints. The performance evaluation reveals that the proposed method is very close to optimal exhaustive search method with a significant reduction in the computation complexity.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets

Abubakar¹,

Öztürk²,

Öztürk³

et al. 2021

Preprint

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“…In underlay CRNs [7], SUs are subject to strict transmission restrictions to avoid interference with PUs [8]. Guaranteeing the QoS for the SU has always been a challenging task [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…In [23], the fixed spectrum leasing (FSL) scheme between PU and SU is investigated. The scope of leased channels in FSL does not change, and such presets degenerate the spectrum utilization in a dynamically changing environment [9]. Different dynamic spectrum leasing (DSL) strategies [24][25][26] have been proposed in the literature.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks

Xiao

Zeng

et al. 2020

Sensors

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Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of spectrum resources and the inefficiency of spectrum utilization. However, the SUs suffer from frequent spectrum handoffs and transmission limitations. In this paper, considering the quality of service (QoS) requirements of PUs and SUs, we propose a novel dynamic flow-adaptive spectrum leasing with channel aggregation. Specifically, we design an adaptive leasing algorithm, which adaptively adjusts the portion of leased channels based on the number of ongoing and buffered PU flows. Furthermore, in the leased spectrum band, the SU flows with access priority employ dynamic spectrum access of channel aggregation, which enables one flow to occupy multiple channels for transmission in a dynamically changing environment. For performance evaluation, the continuous time Markov chain (CTMC) is developed to model our proposed strategy and conduct theoretical analyses. Numerical results demonstrate that the proposed strategy effectively improves the spectrum utilization and network capacity, while significantly reducing the forced termination probability and blocking probability of SU flows.

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Revenue Maximization Through Cell Switching and Spectrum Leasing in 5G HetNets

Abubakar

Öztürk

et al. 2022

IEEE Access

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Even though dynamic cell switching is a prominent approach for energy optimization in heterogeneous wireless communication networks, it results in spectrum under-utilization as the spectrum originally occupied by the base stations that are turned off remain dormant. In order to make the businesses of primary network (PN) operators, who hold the spectrum license, more profitable and sustainable as well as to avoid spectrum under-utilization, this dormant spectrum can be leased to the secondary network (SN) operators who cannot afford to purchase the spectrum license. In this study, first, the cell switching problem, which solely focuses on the amount of energy saved, is translated to a problem of revenue maximization by including the spectrum leasing concept and converting the energy saving to monetary saving from reduced electricity bills. In this regard, two spectrum demand scenarios are considered for the SN operator: delay tolerant (DT), for non-real time applications, and non-delay tolerant (NDT), for real time applications. Then, a cell switching and spectrum leasing framework based on simulated annealing algorithm is developed to maximize the revenue of the PN while respecting the quality-of-service constraints. The simulation results reveal that the DT spectrum demand is more beneficial to both PN and SN operators as it results in greater revenue for the former while the latter is able to access more spectrum to meet higher service demands. This finding suggests that if the application can tolerate delays, then it makes more sense for both PN and SN to adopt the DT scenario. In addition, it is observed that the performance of the proposed framework is very close to that of the optimal solution with a significant reduction in the computation complexity.INDEX TERMS 5G, HetNet, cell switching, energy efficiency, green communications, spectrum leasing, simulated annealing algorithm.

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Traffic-Adaptive Spectrum Leasing Between Primary and Secondary Networks

Cited by 6 publications

References 31 publications

Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets

Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets

Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks

Revenue Maximization Through Cell Switching and Spectrum Leasing in 5G HetNets

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