Distributed Resource Allocation for General Energy Efficiency Maximization in Offshore Maritime Device-to-Device Communication

In maritime scenario, the communication service, if any, is likely to be expensive due to the high-cost satellite transmissions or the very limited offshore coverage of terrestrial networks. Thus, how to achieve efficient radio resource management is one of the critical issues in maritime communication. In this letter, by exploiting the device-to-device (D2D) mechanism, we identify a general energy efficiency (GEE) optimization problem, which takes into account the physical link performance and the users' pairing willingness (PW) quantified by a modified Jaccard coefficient metric. Then, we divide the GEE optimization problem into two sub-problems of user pairing and power allocation, and solve them by a distributed pairing method and by a new distributed resource allocation scheme, respectively. Simulation results demonstrate significant performance gains achieved by the proposed GEE maximization-based distributed D2D resource allocation (GEEM-DD2D-RA) algorithm over existing methods.