Dynamic Spectrum Sharing Optimization and Post-Optimization Analysis With Multiple Operators in Cellular Networks

Asaduzzaman, Md; Abozariba, Raouf; Patwary, Mohammad

doi:10.1109/twc.2017.2782248

Cited by 10 publications

(11 citation statements)

References 35 publications

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“…Regarding mutual renting, in [5], the authors investigate how secondary network operators (i.e., buyers) should acquire spectrum access from primary network operators (i.e., sellers) based on the characteristics (i.e., cost and quality) of the available bands. Two optimization problems are formulated to study the questions on how SNOs could minimize cost while ensuring targeted quality-of-service (QoS), and how SNOs could achieve maximal utility gain with limited budget, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

Fair Licensed Spectrum Sharing Between Two MNOs Using Resource Optimization in Multi-Cell Multi-User MIMO Networks

Wang

Adve

2022

IEEE Trans. Wireless Commun.

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Spectrum sharing has been proposed to both improve spectrum utilization efficiency in modern wireless communications and provide mobile network operators (MNOs) with required spectrum at times of increased traffic. In this thesis, we investigate the use of multi-user multiple input, multiple output (MIMO) techniques to enable spectrum sharing. Specifically, we present a fair spectrum sharing system between two MNOs in multi-cell multi-user MIMO networks. We impose fairness by ensuring that each MNO receives spectrum in proportion to the amount it contributes. We formulate a constrained optimization problem to determine resource allocation and user scheduling across two MNOs. Since the problem is non-convex, we develop an effective solution through fractional programming and block coordinate descent. In addition, we incorporate channel estimation into this spectrum sharing framework in a time division duplex (TDD) system. We propose a cluster based pilot allocation mechanism where the pilot sequences are assigned to user terminals (UTs) within each newly organized cluster, which is determined by a BS-centric clustering algorithm and a modified K-means clustering algorithm. Our numerical results illustrate that the proposed spectrum sharing scheme can achieve up to a 60% improvement in terms of the average user rate among the two operators while ensuring that neither MNO is exploited for participating in the sharing mechanism, within a diagonally overlapped cell deployment. This improvement is in relation to the baseline of each MNO using multi-user MIMO communications on its own. Due to the COVID-19 pandemic, most of the work in this thesis is done remotely at home, which is more challenging than normal, due to the inefficiency in online communications. This thesis would not have been possible without the tremendous support I received from many people during the period.First and foremost, I would like to give my deepest gratitude to my supervisor, Prof. Raviraj Adve, for his trust in me to offer me such a valuable opportunity two years ago, for his guidance in my research throughout my graduate studies, and for his criticism and advice on the mistakes I made, without which this thesis would not have been possible. I have learnt much from his persistence and tireless pursuit in diving deep into the research areas.I would like to thank my thesis committee members Prof. Shahrokh Valaee, Prof. Ben Liang, and Prof. Mark Jeffrey, for their considerable time spent on reading my thesis and insightful comments provided that improve this thesis.I feel blessed to have such great colleagues in the group. Specifically, I would like to thank Ahmad Khan, Hadeel Elayan and Hussein Ammar for their kind help and guidance in my graduate coursework and teaching assistantship during the limited time in office before the pandemic. Moreover, I value the help from Hussein and Ahmad for their timely and detailed emails in answering the questions I had for their work, during the remote working time.Last but not least, I would like to thank...

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Section: Literature Reviewmentioning

confidence: 99%

Fair Licensed Spectrum Sharing Between Two MNOs Using Resource Optimization in Multi-Cell Multi-User MIMO Networks

Wang

Adve

2022

IEEE Trans. Wireless Commun.

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“…Several dynamic resource allocation schemes have been presented in the literature [25], [26]. Bandwidth allocation challenges for IoT devices by considering spectrum sharing is discussed in [27].…”

Section: Related Workmentioning

confidence: 99%

NOMA-Based Resource Allocation and Mobility Enhancement Framework for IoT in Next Generation Cellular Networks

et al. 2019

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With the unprecedented technological advances witnessed in the last two decades, more devices are connected to the Internet, forming what is called the Internet of Things (IoT). The IoT devices with heterogeneous characteristics and the quality of experience (QoE) requirements may engage in the dynamic spectrum market due to the scarcity of radio resources. We propose a framework to efficiently quantify and supply radio resources to the IoT devices by developing intelligent systems. The primary goal of this paper is to study the characteristics of the next generation of cellular networks with non-orthogonal multiple access (NOMA) to enable connectivity to clustered IoT devices. First, we demonstrate how the distribution and QoE requirements of IoT devices impact the required number of radio resources in real time. Second, we prove that using an extended auction algorithm by implementing a series of complementary functions enhance the radio resource utilization efficiency. The results show a substantial reduction in the number of sub-carriers required when compared with conventional OMA and the intelligent clustering is scalable and adaptable to the cellular environment. Ability to move spectrum usages from one cluster to other clusters after borrowing when a cluster has fewer users or move out of the boundary is another soft feature that contributes to the reported radio resource utilization efficiency. Moreover, the proposed framework provides IoT service providers cost estimation to control their spectrum acquisition to achieve the required quality of service with a guaranteed bit rate (GBR) and non-GBR.

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“…In [4] - [7], various aspects and performance of spectrum sharing among MNOs are studied in a cellular setting. These studies consider a deterministic model in which the location of base stations (BSs) and user equipment (UE) are known, resulting in unwieldy problem formulation when the number of BSs and UEs is large.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Geometry Analysis of Spectrum Sharing Among Seller and Buyer Mobile Operators

Ataeebojd

Rasti

Pedram

et al. 2022

2022 IEEE Wireless Communications and Networking Conference (WCNC)

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Sharing the licensed frequency spectrum among multiple mobile network operators (MNOs) is a promising approach to improve licensed spectrum utilization. In this paper, we model and analyze a non-orthogonal spectrum sharing system consisting of multiple seller and multiple buyer MNOs where buyer MNOs lease several licensed sub-bands from different seller MNOs. All base stations (BSs) owned by a buyer MNO can also utilize various licensed sub-bands simultaneously, which are also used by other buyer MNOs. To reduce the interference that a buyer MNO imposes on one seller MNO sharing its licensed subband, this buyer MNO has a limitation on the maximum interference caused to the corresponding seller MNO's users. We assume each MNO owns its BSs and users whose locations are modeled as two independent homogeneous Poisson point processes. Applying stochastic geometry, we derive expressions for the downlink signal-to-interference-plus-noise ratio coverage probability and the average rate of both seller and buyer networks. The numerical results validate our analysis with simulation and illustrate the effect of the maximum interference threshold on the total sumrate of the network.

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Dynamic Spectrum Sharing Optimization and Post-Optimization Analysis With Multiple Operators in Cellular Networks

Cited by 10 publications

References 35 publications

Fair Licensed Spectrum Sharing Between Two MNOs Using Resource Optimization in Multi-Cell Multi-User MIMO Networks

Fair Licensed Spectrum Sharing Between Two MNOs Using Resource Optimization in Multi-Cell Multi-User MIMO Networks

NOMA-Based Resource Allocation and Mobility Enhancement Framework for IoT in Next Generation Cellular Networks

Stochastic Geometry Analysis of Spectrum Sharing Among Seller and Buyer Mobile Operators

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