Spectrum Allocation Based on Partially Overlapping and Bonded Channels: A Game-theoretic Learning Approach

In this paper, the spectrum allocation problem of partially overlapping and bonded channel is studied. Compared with the orthogonal channels, partially overlapping channel (POC) can improve the spectrum efficiency through optimizing the spectrum distance and physical distance at the same time. Furthermore, the channel bonding technique has been also combined with the POC mechanism. The dynamic nodes situation also considered in this paper to model the different demand of nodes. To solve the problem, the channel selection problem of POBC is formulated as a potential game, and the existence of corresponding Nash equilibrium is proved. A joint overlapping and bonded channel selection selection algorithm based on spatial adaptive playing is modified. The simulation results show the POBC can improve the spectrum efficiency and achieve better throughput compared with the just POC situation.