Spectrum Sharing Optimization in Cellular Networks under Target Performance and Budget Restriction
Open accessAbstract
Dynamic Spectrum Sharing (DSS) aims to provide opportunistic access to under-utilized spectrum in cellular networks for secondary network operators. In this paper we propose an algorithm using stochastic and optimization 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 a heuristic algorithm in which spectrum borrowing are random. Comparisons showed that the gain in the results obtained from our proposed stochastic-optimization framework is significantly higher than random counterpart.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Niyato, D. T., & Hossain, E. (2008) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2008.080117 · Cited by 526 · see citing works
Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach
Kang, X., Zhang, R., & Motani, M. (2012) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2012.120404 · Cited by 484 · see citing works
DIMSUMNet: New Directions in Wireless Networking Using Coordinated Dynamic Spectrum Access
Buddhikot, M. M., Kolodzy, P. J., Miller, S., Ryan, K., & Evans, J. (2005) · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · doi:10.1109/wowmom.2005.36 · Cited by 447 · see citing works
Zhang, H., Jiang, C., Mao, X., & Chen, H. (2015) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2015.2405538 · Cited by 237 · see citing works
Spectrum management in coordinated dynamic spectrum access based cellular networks
Buddhikot, M. M., & Ryan, K. (2005) · doi:10.1109/dyspan.2005.1542646 · Cited by 181 · see citing works
Wei, L., Hu, R. Q., Qian, Y., & Wu, G. (2015) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2015.2389823 · Cited by 178 · see citing works
An Economic Framework for Dynamic Spectrum Access and Service Pricing
Sengupta, S., & Chatterjee, M. (2009) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2008.2007758 · Cited by 157 · see citing works
Spectrum Exploration and Exploitation for Cognitive Radio: Recent Advances
Lundén, J., Koivunen, V., & Poor, H. V. (2015) · IEEE Signal Processing Magazine · doi:10.1109/msp.2014.2338894 · Cited by 141 · see citing works
A Survey of Pricing Schemes in Wireless Networks
Gizelis, C. A., & Vergados, D. D. (2010) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.060710.00028 · Cited by 136 · see citing works
Matinmikko‐Blue, M., Okkonen, H., Palola, M., Yrjölä, S., Ahokangas, P., & Mustonen, M. (2014) · IEEE Wireless Communications · doi:10.1109/mwc.2014.6812294 · Cited by 118 · see citing works
White space: Definitional perspectives and their role in exploiting spectrum opportunities
Akhtar, F., Rehmani, M. H., & Martin Reisslein, B. (2016) · Telecommunications Policy · doi:10.1016/j.telpol.2016.01.003 · Cited by 113 · see citing works
An Integrated Contract and Auction Design for Secondary Spectrum Trading
Gao, L. X., Huang, J., Chen, Y., & Shou, B. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.130322 · Cited by 82 · see citing works
Afana, A., Asghari, V., Ghrayeb, A., et al. (2014) · IEEE Transactions on Communications · doi:10.1109/tcomm.2014.032014.130399 · Cited by 63 · see citing works
Optimal Pricing Strategy for Operators in Cognitive Femtocell Networks
Jiang, C., Chen, Y., Liu, K. J. R., & Ren, Y. (2014) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2014.2327970 · Cited by 61 · see citing works
Dynamic Profit Maximization of Cognitive Mobile Virtual Network Operator
Li, S., Huang, J., & Li, S.-Y. R. (2013) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2013.10 · Cited by 44 · see citing works
Revenue Sharing Based Resource Allocation for Dynamic Spectrum Access Networks
Wu, Y., Zhu, Q., Huang, J., & Tsang, D. H. K. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.141125 · Cited by 41 · see citing works
Bourdena, A., Pallis, E., Kormentzas, G., et al. (2013) · Physical Communication · doi:10.1016/j.phycom.2013.11.003 · Cited by 38 · see citing works
Towards a new policy framework for spectrum management in India
Sridhar, V., & Prasad, R. (2011) · Telecommunications Policy · doi:10.1016/j.telpol.2010.12.004 · Cited by 31 · see citing works
Joint Pricing and Load Balancing for Cognitive Spectrum Access: Non-Cooperation Versus Cooperation
Tran, N. H. K., Le, L. B., Ren, S., et al. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2361091 · Cited by 29 · see citing works
Quantifying Benefits in a Business Portfolio for Multi-Operator Spectrum Sharing
Sugathapala, I., Kovacevic, I., Lorenzo, B., et al. (2015) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2015.2457430 · Cited by 27 · see citing works
Revenue Maximization in Time-Varying Multi-Hop Wireless Networks: A Dynamic Pricing Approach
Yang, S., Zhang, C., Fang, Y. M., et al. (2012) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2012.120809 · Cited by 24 · see citing works
Two Days of Spectrum Use in Europe
Palaios, A., Riihijärvi, J., Mähönen, P., et al. (2012) · International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM) · doi:10.4108/icst.crowncom.2012.249475 · Cited by 22 · see citing works
Dynamic Spectrum Sharing Auction With Time-Evolving Channel Qualities
Khaledi, M., & Abouzeid, A. A. (2015) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2015.2443796 · Cited by 19 · see citing works
Ultra-broadband femtocells via opportunistic reuse of multi-operator and multi-service spectrum
Buddhikot, M. M., Kennedy, I. O., Mullany, F., et al. (2009) · Bell Labs Technical Journal · doi:10.1002/bltj.20340 · Cited by 16 · see citing works
Mohsenian-Rad, A.-H., Wong, V. W. S., & Leung, V. C. M. (2009) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2009.080568 · Cited by 15 · see citing works
Secondary Spectrum Auctions for Markets With Communication Constraints
Palguna, D. S., Love, D. J., & Pollak, I. (2015) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2015.2468219 · Cited by 14 · see citing works
Broker Based Secondary Spectrum Trading
Mwangoka, J. W., Marques, P., & Rodrı́guez, J. (2011) · International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM) · doi:10.4108/icst.crowncom.2011.245892 · Cited by 14 · see citing works
Abozariba, R., Asaduzzaman, M., & Patwary, M. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2582787 · Cited by 8 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [20]20. R. Abozariba, M. Asaduzzaman, and M. Patwary, "Radio resource shar- ing framework for cooperative multi-operator networks with dynamic overflow modelling," IEEE Transactions on Vehicular Technology, 2016, In press.
Cited by
Sorted by citations
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future
Nawaz, S. J., Sharma, S. K., Wyne, S., Patwary, M. N., & Asaduzzaman, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909490 · Cited by 658 · see citing works
Self-citation
- Authors
- Asaduzzaman, M., Abozariba, R., & Patwary, M. N.
- Affiliations
- University of Staffordshire (GB)
- Birmingham City University (GB)
- Venue
- 2017 IEEE 85th Vehicular Technology Conference (VTC Spring)
- Publisher
- IEEE
- Published
- 2017-06
- Volume
- 13
- Pages
- 1-7
- ISSN
- 1090-3038 (ISSN-L)
- OpenAlex
- W2626138381
- Cited by
- 2
- References
- 28
- Citations by year
- 2019: 1 · 2017: 1
- FWCI
- 0.44
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- IEEE Vehicular Technology Conference (publishedVersion)
- Lancaster EPrints (Lancaster University) (acceptedVersion)
- Staffordshire Online Repository (Staffordshire University) (acceptedVersion)
- BCU Open Access Repository (Birmingham City University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Cognitive Radio Networks and Spectrum Sensing
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Communication Networks Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Keywords
- dynamic spectrum sharing, cellular networks, grade of service, stochastic optimization, spectrum pricing, opportunistic spectrum access, profit maximization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review