Resource Virtualization and Allocation for TDD-F-OFDM Systems With MU-MIMO

Abstract

Wireless resource virtualization scheme has been proposed to satisfy the quality of service (QoS) requirement of multi-service traffic flows on multi-dimensional resources. However, it is a challenge to design an appropriate virtual resource allocation strategy for multi-dimensional resource to meet the delay demand of multi-service. In this paper, we study the virtual resource allocation method in TDD-F-OFDM system with MU-MIMO and formulate the multi-service virtual resource optimization problem as a cross-layer problem. Then, we develop an effective dynamic algorithm with an iterative dual update to meet the optimization targets of the Media Access Control (MAC) layer and physical layer. Finally, the simulation results show that our proposed virtual resource allocation algorithm not only achieves better spectral efficiency and flow access ratio, but also guarantees the delay requirements of multi-service flows.

An adaptive channel estimation scheme based on redundancy minimization for filtered OFDM networks

“…Then each subband will go through the same process described in (6) as those in the OFDM systems. Because of this filtering process it's easier in F-OFDM to achieve specific goals with specific filter blocks and without losing synchronization [2], [20], and [21]. Having said that it makes sense to use F-OFDM instead of conventional OFDM system where large amount of user data has to be sent before any kind of communication between different users is established [22].…”