Resource Allocation Algorithm for Hybrid IBFD Cellular Networks for 5G and Beyond

In Band Full Duplex (IBFD) is a promising technology to double Spectral Efficiency (SE). Due to practical limitations in realizing IBFD User Equipments (UEs), Hybrid IBFD Cellular Network (HICN), composed of an IBFD Base Station (BS) and legacy Half Duplex (HD) UEs, is preferred. Optimum resource allocation algorithm for HICNs has been of great interest, and it primarily relies on UE-to-UE Channel State Information (CSI). Though computational and signaling intensive approaches are used in literature to obtain this CSI, we introduce a location-aware technique without these overheads at UEs. Using proposed idea of frequency sharing within UE groups, we formulate a constrained optimization problem for HICNs to maximize sum-SE. Based on multiple constraints imposed, frequency sharing possibilities amongst UEs are captured in the adjacency matrix, which lays the foundation for UE grouping. An exhaustive search from adjacency matrix identifies the theoretically
best
UE groups to achieve maximum frequency sharing. For practical realizations, a computationally efficient algorithm to identify
optimal
groups of two and/or three UEs is derived. We propose a
novel
correlation approach to avoid expensive resource allocations in every scheduling interval. Simulation results reveal median sum-SE of 89% over HD systems, thus making the proposed solution far more attractive.