Bargaining theory with applications
Bargaining theory with applications
A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Introduction to Algorithms
Wireless Communications over Mimo Channels: Applications to Cdma And Multiple Antenna Systems
Wireless Communications over Mimo Channels: Applications to Cdma And Multiple Antenna Systems
OFDM-Based Broadband Wireless Networks: Design and Optimization
OFDM-Based Broadband Wireless Networks: Design and Optimization
Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints
IEEE Transactions on Wireless Communications
IEEE 802.11n Development: History, Process, and Technology
IEEE Communications Magazine
Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View
IEEE Journal on Selected Areas in Communications
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Four utility-based criteria are considered to study dynamic resource allocation in Multiple Input Multiple Output - Orthogonal Frequency Division Multiple Access (MIMOOFDMA) multiuser cellular systems. In these criteria, two generalized bargaining strategies, GNBS and KSBS, are used to emphasize different levels of user fairness, while the criteria of utilitarian and egalitarian are briefly discussed. Specifically, we will investigate the resource allocation within one cell, satisfying transmit power constraint, minimum data-rate requirement, and certain BER level. For practical power and subcarrier allocation, low-complexity implementations are proposed based on the bargaining solutions and system optimality. In addition, the generalized bargaining power can be explored to adjust datarate distribution of users through GNBS/KSBS fairness, which is the desired property of diverse quality-of-service systems.