Radio resource management for device to device communication using S and V shaped transfer functions

Device-to-device (D2D) communication has become a key complementary technology in emerging next-generation communication paradigm. It offers a number potential use cases including peer to peer communication, cellular offloading, device-relaying and content sharing etc. Efficient resource management is one of the key factor for boosting overall network data rate. This paper provides an effective resource management approach for D2D networks that not only maximises the network's overall throughput but also maximises the number of admitted users while adhering to power and interference limits. The optimization problem considered in this work is NP-complete and belongs to the category of mixed integer non-linear programming problems. The complexity of problem is proportional to the number of users, exhaustive search of solution is not feasible for large network size. In this work, the resource management problem solved using Binary Particle Swarm Optimization (BPSO) algorithm with eight different types of transfer functions which facilitate for calculation of probability values from velocities of the particles. The performance results are presented for different networks scenarios and compared with classical evolutionary algorithm. The simulation results show that the proposed solution achieves a better sum rate and faster convergence as compared to other solution.