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Thanks in large part to effusive stock promotions, the bullish case is prevailing in the murky world of penny stocks where Spectrum trades, on the over-the-counter bulletin board.
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Dynamic spectrum access (DSA), consisting of spectrum sharing and spectrum trading stage, becomes a promising approach to increase the efficiency of spectrum usage and system performance.
In this paper, from the perspective of individual interest optimization, we focus on strategy adaptation of network users and their interaction in spectrum trading process.
The proposed approach follows a real-time spectrum trading scheme based on either a fixed-price or a combinatorial auction-based method, depending on the requirements for spectrum by the secondary systems.
It describes a centralized infrastructure-based cognitive radio network, where dynamic TVWS allocation among unlicensed systems is administrated by a spectrum broker, carrying out radio-resource management and spectrum trading in real time.
Two optimisation algorithms are provided that enable the efficient use of TV White Spaces (TVWS) through a broker entity that coordinates the spectrum trading process among a number of wireless secondary systems.
We call this spectrum trading.
Its constituents are spectrum trading and sharing processes.
The spectrum trading process indicates the values of both spectrum pricing and purchasing by allowing the spectrum trading between secondary users (SUs) and primary users (PUs).
Many different kinds of techniques describing the spectrum trading process have been introduced in order to make the spectrum trading scenarios nearly optimal given both PUs and SUs.
They proposed spectrum trading—spectrum management without game theory (SMWG) and spectrum competition—spectrum management with game theory (SMG).
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