Local altruistic coalition formation game for spectrum sharing and interference management in hyper-dense cloud-RANs

Local altruistic coalition formation game for spectrum sharing and interference management in hyper-dense cloud-RANs

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In this study, the authors investigate the spectrum sharing and interference management in hyper-dense cloud radio access networks (C-RANs). The authors formulate this problem as a local altruistic coalition formation game (LACF) with externalities. Different from previous studies considering maximising individual small cell's throughput, the authors’ purpose is to maximise the social welfare, i.e. the sum satisfaction of remote radio heads (RRHs) with diverse traffic types. The authors design a local altruistic utility function for RRH, i.e. each RRH cares about not only his own interest but also his neighbours’. They make autonomous decisions, finally shaping the entire RRHs into multiple disjoint coalitions. In addition, joint transmission coordinated multi-point technology is considered within coalition to mitigate interference. Then, the authors propose a distributed coalitional formation algorithm based on modified recursive core to obtain the final stable coalition partition. Furthermore, the system stability, convergence and complexity of the proposed algorithm are analysed. Numerical results show that the proposed algorithm outperforms the classical and non-cooperation schemes in the perspective of both social welfare and individual fairness. To be specific, the average rate per RRH of the authors’ proposed scheme is superior to the classical and non-cooperation cases by 20 and 25% in hyper-dense scenario, respectively.


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