2 research outputs found
Joint Optimization of Resource Allocation and User Association in Multi-Frequency Cellular Networks Assisted by RIS
Due to the development of communication technology and the rise of user
network demand, a reasonable resource allocation for wireless networks is the
key to guaranteeing regular operation and improving system performance. Various
frequency bands exist in the natural network environment, and heterogeneous
cellular network (HCN) has become a hot topic for current research. Meanwhile,
Reconfigurable Intelligent Surface (RIS) has become a key technology for
developing next-generation wireless networks. By modifying the phase of the
incident signal arriving at the RIS surface, RIS can improve the signal quality
at the receiver and reduce co-channel interference. In this paper, we develop a
RIS-assisted HCN model for a multi-base station (BS) multi-frequency network,
which includes 4G, 5G, millimeter wave (mmwave), and terahertz networks, and
considers the case of multiple network coverage users, which is more in line
with the realistic network characteristics and the concept of 6G networks. We
propose the optimization objective of maximizing the system sum rate, which is
decomposed into two subproblems, i.e., the user resource allocation and the
phase shift optimization problem of RIS components. Due to the NP-hard and
coupling relationship, we use the block coordinate descent (BCD) method to
alternately optimize the local solutions of the coalition game and the local
discrete phase search algorithm to obtain the global solution. In contrast,
most previous studies have used the coalition game algorithm to solve the
resource allocation problem alone. Simulation results show that the algorithm
performs better than the rest of the algorithms, effectively improves the
system sum rate, and achieves performance close to the optimal solution of the
traversal algorithm with low complexity.Comment: 18 page