M
Mohsen Nader Tehrani
Researcher at University of Waterloo
Publications - 7
Citations - 1046
Mohsen Nader Tehrani is an academic researcher from University of Waterloo. The author has contributed to research in topics: Cognitive radio & Channel allocation schemes. The author has an hindex of 6, co-authored 7 publications receiving 944 citations. Previous affiliations of Mohsen Nader Tehrani include Isfahan University of Technology.
Papers
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Journal ArticleDOI
Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions
TL;DR: An overview of major challenges in two-tier networks is provided and some pricing schemes for different types of device relaying are proposed.
Journal ArticleDOI
Auction Based Spectrum Trading for Cognitive Radio Networks
Mohsen Nader Tehrani,Murat Uysal +1 more
TL;DR: The shared used model in cognitive radio networks is considered and a spectrum trading method is proposed to maximize the total satisfaction of the Secondary Users (SUs) and revenue of the Wireless Service Provider (WSP).
Proceedings ArticleDOI
Pricing for open access femtocell networks using market equilibrium and non-cooperative game
Mohsen Nader Tehrani,Murat Uysal +1 more
TL;DR: In this paper, economic and game theoretic approaches such as market equilibrium and non-cooperative game to propose novel pricing schemes for open-access femtocell networks are used.
Proceedings ArticleDOI
Sensing-throughput tradeoff in cooperative spectrum sensing
Mohsen Nader Tehrani,Murat Uysal +1 more
TL;DR: A two-step optimization algorithm to optimize sensing time and the number of assigned SUs to each channel and calculate the optimal sensing time such as to maximize the total average throughput of SUs in the presence of interference with PUs is proposed.
Proceedings ArticleDOI
Spectrum trading for non-identical channel allocation in cognitive radio networks
Mohsen Nader Tehrani,Murat Uysal +1 more
TL;DR: This paper considers a realistic valuation function which depends on channel capacity, delay sensitive and delay-insensitive data traffics of secondary users (SUs), and proposes an efficient concurrent Vickrey-Clarke-Grove mechanism for non-identical channel allocation among r-minded bidders in two different cases.