Radio Resource Sharing Framework for Cooperative Multioperator Networks With Dynamic Overflow Modeling

Abozariba, Raouf; Asaduzzaman, Md; Patwary, Mohammad

doi:10.1109/tvt.2016.2582787

Cited by 8 publications

(10 citation statements)

References 32 publications

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“…With non-cooperative spectrum pooling, the operators access the spectrum pool following predefined regulations or protocols. In [6], the authors propose three resource sharing models between two operators by overflow management. The proposed models reduce the blocking probability for both operators with low traffic intensity.…”

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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“…A solution to increase the efficiency of spectrum utilization by means of sharing has been addressed in the research domain [6][7][8]. Spectrum sharing between operators often results in a considerable improvement of GoS, although it would incur additional costs to the operators [9][10][11][12]. Since network operators often operate with a limited budget, the borrowing decisions of a network operator could be affected.…”

Section: A Background and Motivationmentioning

confidence: 99%

“…In the literature, a great number of studies has appeared in recent years on the design of dynamic spectrum sharing within cellular networks [10,[15][16][17][18][19]. Interests in this context include secondary leasing and pricing strategies among incumbent spectrum license holders, SNOs and secondary users.…”

Section: B Related Workmentioning

confidence: 99%

“…Interests in this context include secondary leasing and pricing strategies among incumbent spectrum license holders, SNOs and secondary users. These prior studies mainly focused on approaches using auction mode and game theory to implement the spectrum pricing and allocation schemes by taking into account the variation of the networks demands and constraints such as power, price and interference [10,11,[15][16][17][18]20].…”

Section: B Related Workmentioning

confidence: 99%

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

Asaduzzaman

Abozariba

Patwary

2018

IEEE Trans. Wireless Commun.

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Dynamic spectrum sharing aims to provide secondary access to under-utilised spectrum in cellular networks. The main aim of the paper is twofold. Firstly, secondary operator aims to borrow spectrum bandwidths under the assumption that more spectrum resources exist considering a merchant mode. Two optimization models are proposed using stochastic and optimization models in which the secondary operator (i) spends the minimal cost to achieve the target grade of service assuming unrestricted budget or (ii) gains the maximal profit to achieve the target grade of service assuming restricted budget.Results obtained from each model are then compared with results derived from algorithms in which spectrum borrowings are random. Comparisons showed that the gain in the results obtained from our proposed stochastic-optimization framework is significantly higher than heuristic counterparts. Secondly, post-optimization performance analysis of the operators in the form of blocking probability in various scenarios is investigated to determine the probable performance gain and degradation of the secondary and primary operators respectively. We mathematically model the sharing agreement scenario and derive the closed form solution of blocking probabilities for each operator. Results show how the secondary operator perform in terms of blocking probability under various offered loads and sharing capacity.

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“…Interests in this context include secondary leasing and pricing strategies among incumbent spectrum license holders, secondary operators and secondary users. These prior studies mainly focused on approaches using auction mode and game theory to implement the spectrum pricing and allocation schemes by taking into account the variation of the networks demands and constraints such as power, price and interference [17], [18], [19], [20], [21], [22].…”

Section: Related Workmentioning

confidence: 99%

Spectrum Sharing Optimization in Cellular Networks under Target Performance and Budget Restriction

Asauzzaman

Abozariba

Patwary

2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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Abstract-Dynamic Spectrum Sharing (DSS) aims to provide opportunistic access to under-utilised spectrum in cellular networks for secondary network operators. In this paper we propose an algorithm using stochastic and optimisation models to borrow spectrum bandwidths under the assumption that more resources exist for secondary access than the secondary network demand by considering a merchant mode. The main aim of the paper is to address the problem of spectrum borrowing in DSS environments, where a secondary network operator aims to borrow the required spectrum from multiple primary network operators to achieve a maximum profit under specific grade of service (GoS) and budget restriction. We assume that the primary network operators offer spectrum access opportunities with variable number of channels (contiguous and/or non-contiguous) at variable prices. Results obtained are then compared with results derived from an algorithm in which spectrum borrowing are random. Comparisons showed that the gain in the results obtained from our proposed stochastic-optimisation framework is significantly higher than random counterpart.

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Radio Resource Sharing Framework for Cooperative Multioperator Networks With Dynamic Overflow Modeling

Cited by 8 publications

References 32 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

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

Spectrum Sharing Optimization in Cellular Networks under Target Performance and Budget Restriction

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