• International journal of advanced smart convergence
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• v.13 no.1
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• pp.1-11
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• 2024

Cognitive small cell networks, consisting of macro-cells and small cells, are foreseen as a promising candidate solution to address 5G spectrum scarcity. Recently, many technological issues (such as spectrum sensing, spectrum sharing) related to cognitive small cell networks have been studied, but the common control channel (CCC) establishment problem has been ignored. CCC is an indispensable medium for control message exchange that could have a huge significant on transmitter-receiver handshake, channel access negotiation, topology change, and routing information updates, etc. Therefore, establishing CCC in cognitive small cell networks is a challenging problem. In this paper, we propose a potential game theory-based approach for CCC establishment in cognitive radio networks. We design a utility function and demonstrate that it is an exact potential game with a pure Nash equilibrium. To maintain the common control channel list (CCL), we develop a CCC update algorithm. The simulation results demonstrate that the proposed approach has good convergence. On the other hand, it exhibits good delay and overhead of all networks.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.11
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• pp.1387-1401
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• 2016

When a closed access policy in which only an authorized user is allowed to access to a given base station (BS) has been employed in heterogeneous cellular networks, a macro-cell user is used to experience strong cross-tier interference from its adjacent small-cell BSs to which the user is not allowed to access. To mitigate this problem, it has been proposed that a small-cell BS employs a beamforming vector which is orthogonal to the channel of the victim user. However, this technique requires considerable mutual exchange of information among the macro-cell BS, the macro-cell user, and the small-cell BS. In this paper, we propose a cognitive beamforming scheme, in which a small-cell BS employs the beamforming orthogonal to the victim users' channel without any explicit mutual information exchange. Particularly, the small-cell BS finds small- and macro-cell users experiencing the co-tier and cross-tier interferences from it, respectively. Then, it employs a beamforming which is orthogonal to the victim users' channels to mitigate the co-tier and cross-tier interferences. Using the system-level simulation, we demonstrate that the proposed scheme effectively mitigates the cross-tier interference problem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.9
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• pp.2154-2172
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• 2013

A centralized cognitive radio (CR) network is proposed and its system capacity is studied. The CR network is designed with power control and multi-user scheduling schemes to support best-effort traffics under peak interference power constraints. We provide an analytical framework to quantify its system capacity, taking into account various key factors such as interference constraints, density of primary users, cell radius, the number of CR users, and propagations effects. Furthermore, closed-form formulas are derived for its capacities when only path loss is considered in the channel model. Semi-analytical expressions for the capacities are also given when more realistic channel models that include path loss, shadowing, and small-scale fading are used. The accuracy of the proposed analytical framework is validated by Monte Carlo simulations. Illustrated with a practical example, the provided analytical framework is shown to be useful for the strategic planning of centralized CR networks.