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- W2971491850 abstract "The explosive expansion in wireless communications over the past several years has given rise to severe technical challenges which include the demand of transmitting multimedia data at high rates in an environment rich in scattering. Multi-input multi output (MIMO) technique is an important recent development in wireless communications due to their potential in meeting the challenges caused by fading channels as well as power and bandwidth limitations. The key challenge faced by future wireless communication systems is to provide high-data-rate wireless access at high quality of service (QoS). Combined with the facts that spectrum is a scarce resource and propagation conditions are hostile due to fading (caused by destructive addition of multipath components) and interference from other users, this requirement calls for means to radically increase spectral efficiency and to improve link reliability. Some of such optimization schemes are transmission power allocation, bandwidth allocation, sub-channel allocation and Multiple-input-multiple-output (MIMO) systems. Combining Multi-Input Multi-output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) with Guard Interval (GI) is a highly promising method for achieving required data rate for real time application. The proposed power allocation scheme using Gaming Theory maximizes the downlink transmission rate of the secondary users under spatial interference constraints, considering both the availability and absence of the primary user (PU)." @default.
- W2971491850 created "2019-09-12" @default.
- W2971491850 creator A5082309957 @default.
- W2971491850 date "2019-02-01" @default.
- W2971491850 modified "2023-09-24" @default.
- W2971491850 title "Power Allocation in MIMO Systems Using Game Theory" @default.
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- W2971491850 doi "https://doi.org/10.1109/ccoms.2019.8821656" @default.
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