Abstract
ABSTRACTThe invention of cognitive radio (CR) concept aims to overcome the spectral scarcity issues of emerging radio systems by exploiting under‐utilization of licensed spectrum. Determining how to allocate unused frequency bands among CR is one of the most important problems in CR networks. Because different CRs may have different quality‐of‐service requirements, they may have different objectives. In voice communication, high‐speed transmission is the most important factor; hence, voice radios always try to maximize their transmission rate. However, in data communication, the most important factor is the bit error rate. The data radios always try to maximize their signal‐to‐interference‐plus‐noise ratio (SINR). In this paper, two non‐cooperative games named interference minimization game and capacity maximization game, which reflect the target of data radios and voice radios, respectively, are proposed. From the simulations, after these games are applied, the average SINRs of all players at each channel are improved. The average SINR of players in each channel after applying the capacity maximization game is smaller than that after applying the interference minimization game. However, in comparison with that after applying the interference minimization game, the average capacity of players after applying capacity maximization approach is larger. Copyright © 2012 John Wiley & Sons, Ltd.
Highlights
The concept of cognitive radio (CR) emerges as one promising solution to overcome the spectral scarcity issues of emerging radio systems by exploiting under-utilization of licensed spectrum
The benefit of a player is defined as the total transmit power, whereas the cost is defined as the total interference that the other players generate on this player and the interference of this player to the others
The players repeatedly play the game until the Nash equilibrium is reached
Summary
The concept of cognitive radio (CR) emerges as one promising solution to overcome the spectral scarcity issues of emerging radio systems by exploiting under-utilization of licensed spectrum. In [5], a three-step cross-layer optimization for subcarrier, time slot, and power allocations for orthogonal frequency-division multiple access (OFDMA)-based CR system was studied It was shown in [5] that the total capacity of OFDMA system can be maximized while the fairness among users was still guaranteed in a dynamic and time-varying communication environment. In [14], the authors showed that the interference minimization approach proposed in [12] can be applied to the OFDMA subcarrier assignment, where N players compete for K subcarriers, with K < N This game leads to a solution of a single subcarrier per user. In the proposed interference minimization game, both the cost and the benefit for allocating power on channels are considered.
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