Abstract
This chapter leverages the Irregular Terrain Model (ITM) in the previous chapter and the channel-aware resource allocation presented in the chapter before that to perform large scale terrain-aware simulations to perform the resource allocation to users based on their traffic QoS requirements, channel conditions, and total available resources. The chapter provides various statistics related to Signal-to-Noise Ratio (SNR) and combines it with channel modeling and LTE modulation and coding scheme (MCS) such that the resources are assigned accordingly. In case of bad channel conditions, it is depicted that a lot more resources are allocated since a higher MCS order is used for reliable communications. On the other hand, when channel conditions are good, a lower MCS can be used and less resources can lead to a good QoS satisfaction as well. Channel modeling in this chapter based on ITM and Shannon bounds introduces in the previous chapters.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J. Reed, N. Tripathi, Cellular Communications: A Comprehensive and Practical Guide (Wiley-IEEE, New York, 2014)
M. Ghorbanzadeh, E. Visotsky, P. Moorut, W. Yang, C. Clancy, Radar inband and out-of-band interference into LTE macro and small cell uplinks in the 3.5 GHz band, in Proceedings of the 2015 IEEE Wireless Communications and Networking Conference (WCNC) (2015)
M. Ghorbanzadeh, E. Visotsky, P. Moorut, W. Yang, C. Clancy, Radar in-band interference effects on macrocell LTE uplink deployments in the U.S. 3.5 GHz band, in Proceedings of the 2015 International Conference on Computing, Networking and Communications (ICNC) (2015)
M. Ghorbanzadeh, E. Visotsky, P. Moorut, W. Yang, C. Clancy, Radar interference into LTE base stations in the 3.5 GHz band, in Elsevier, Physical Communication (2016)
H. Shajaiah, M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, Application-aware resource allocation based on channel information for cellular networks, in Proceedings of the 2019 IEEE Wireless Communications and Networking Conference (WCNC) (2019), pp. 1–6
M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, Application-aware resource allocation of hybrid traffic in cellular networks. IEEE Trans. Cogn. Commun. Netw. 3(2), 226–241 (2017)
Y. Chen, M. Ghorbanzadeh, K. Ma, C. Clancy, R. McGwier, A hidden Markov model detection of malicious android applications at runtime, in Proceedings of the 2014 23rd Wireless and Optical Communication Conference (WOCC) (2014)
M. Richards, J. Scheer, W. Holm, Principles of Modern Radar (SciTech Publishing, New York, 2010)
M. Ghorbanzadeh, Resource allocation and end-to-end quality of service for cellular communications systems in congested and contested environments, in Ph.D. Thesis, Virginia Tech (2015)
M. Ghorbanzadeh, A. Abdelhadi, C. Clacy, Cellular Communications Systems in Congested Environments Resource Allocation and End-to-End Quality of Service Solutions with MATLAB (Springer, Berlin, 2017)
M. Ghorbanzadeh, Y. Chen, K. Ma, C. Clancy, R. McGwier, A neural network approach to category validation of android applications, in IEEE Conference on Computing, Networking, and Communications (ICNC) (2013)
M. Ghorbanzadeh, Y. Chen, C. Clancy, Fine-grained end-to-end network model via vector quantization and hidden Markov processes, in IEEE Conference on Communications (ICC) (2013)
M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, A utility proportional fairness radio resource block allocation in cellular networks, in IEEE International Conference on Computing, Networking and Communications (ICNC) (2015)
M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, A utility proportional fairness bandwidth allocation in radar-coexistent cellular networks, in Military Communications Conference (MILCOM) (2014)
G.T. V9.0.0, Further advancements for E-UTRA physical layer aspects, in Measuring of Heterogeneous Wireless and Wired Networks (2012)
F. Sanders, J. Carrol, G. Sanders, R. Sole, Effects of Radar Interference on LTE Base Station Receiver Performance (NTIA, U.S. Department of Commerce, New York, 2013)
T.U.S.G. Survey, National Land Cover Data Set (2005). https://edcftp.cr.usgs.gov/pub/data/landcover/states
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ghorbanzadeh, M., Abdelhadi, A. (2022). Channel-Aware Resource Allocation Large Scale Simulation. In: Practical Channel-Aware Resource Allocation. Springer, Cham. https://doi.org/10.1007/978-3-030-73632-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-73632-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73631-6
Online ISBN: 978-3-030-73632-3
eBook Packages: EngineeringEngineering (R0)