Throughput Region and Scheduling for Full-Duplex HetNets with Decoupled User Association

Liu, Chun-Hung; Hu, Heng-Ming

doi:10.1109/icc.2018.8422866

Cited by 2 publications

(1 citation statement)

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“…where U j denotes user j and its location. Each user can perform either FD or HD transmission mode -it performs the FD mode if it wants to simultaneously exchange information with its associated BS; otherwise it performs the HD mode to merely receive or transmit data 1 . This…”

Section: Full-duplex Network Model and Preliminariesmentioning

confidence: 99%

Full-Duplex Heterogeneous Networks With Decoupled User Association: Rate Analysis and Traffic Scheduling

Liu

2019

IEEE Trans. Commun.

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Full-duplex (FD) transmission in a point-to-point (P2P) link, wherein bidirectional traffic flows simultaneously share the same spectrum, has the capability of doubling the link rate by completely removing self-interferences. However, the rate performance of an FD heterogeneous network (HetNet)is not as clear as that of an FD P2P link due to the co-channel interferences induced by complex FD and half-duplex (HD) transmission behaviors in the HetNet. To thoroughly investigate the achievable link rate performances of users and base stations (BSs) in a HetNet with decoupled user association, a hybrid-duplex approach is proposed to model a HetNet in which all BSs and users can perform HD or FD transmission depending on their traffic patterns. We first characterize the decoupled rate-optimal user association scheme and use it to define and evaluate the downlink and uplink rates in the HetNet. The tight lower bounds on the link rates of the FD users and BSs are found in a neat form that characterizes general channel fading, imperfect self-interference cancellation and the intensities of users and BSs. These bounds outline the rate regions of the FD users that inspire us to propose the opportunistic FD scheduling algorithms that maximize the sum rate of each bidirectional traffic and stabilize each of the queues in the HetNet.

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Section: Full-duplex Network Model and Preliminariesmentioning

confidence: 99%