Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions

By Zhu Han, Zhu Ji, K. Liu. IEEE Transactions on Communications, 2005

565 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6073a5e2d2f426d379dcc35d032f584f54f68489

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Game theory for cognitive radio networks: An overview (2010, methodology): “…area U represents the feasible range of u 1 and u 2 , and the NBS corresponds to point The meaning of the NBS is that after the players are assigned with the minimal utility, the remaining welfare are divided between them in a ratio equal to the rate at which the utility can be transferred [67].”
Single carrier FDMA for uplink wireless transmission (2006, unknown): “In our studies, we consider two different utility functions: aggregate user throughput for maximizing system capacity and aggregate logarithmic user throughput for maximizing proportional fairness [11], [12].”
Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access (2017, background): “Another set of related work on the multiuser case was studied from game theoretic and congestion control ( [28]–[37] and references therein), matching theory ( [38]–[42] and references therein), and graph coloring ( [43]–[46] and references therein) perspectives.”
Deep Multi-User Reinforcement Learning for Dynamic Spectrum Access in Multichannel Wireless Networks (2017, background): “The problem has been widely studied under multiarmed bandit (and variants) formulations in [7]–[9], [18]–[20] (and references therein), game theoretic and congestion control in [3], [21]–[26] and references therein, and matching theory in [2], [5], [27]–[29] and references therein.”
Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach (2015, background): “Therefore, we resort to cooperative bargaining games [29].”
Stackelberg game for utility-based cooperative cognitiveradio networks (2009, background): “, single-stage non-cooperative dynamic spectrum sharing game [12], single-stage cooperative dynamic spectrum sharing game [4], multi-stage dynamic game and auction game [5].”