FD-MIMO relay self-interference cancellation using space projection algorithms

Rahman, Kazi Mustafizur; Hakem, Nadir; Barua, Biki

doi:10.1109/latincom.2017.8240190

Cited by 2 publications

(2 citation statements)

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“…Then, applying Taylor series expansion, the objective function of the original nonlinear programming problem can be approximated by the first-and second-order terms (i.e., by discarding higher-order terms) at the iteration point X k , while the constraint functions are approximated by their first-order terms. This way, the original problem is simplified into a quadratic programming sub-problem as given in (19).…”

Section: B Sqp Algorithmmentioning

confidence: 99%

“…Cui et al [18] proposed an optimal MR selection scheme in the FD multi-relay communication scenarios to maximize the signal-to-interference plus noise ratio. In order to cope with the SI in the FD Multiple-Input Multiple-Output (MIMO) relay network, Rahman et al [19] proposed an efficient SI elimination algorithm based on the Space Projection Algorithm (SPA). With the latest techniques, the SI level can be reduced to -110dB, ensuring that the FD technology can be applied in practical scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios

Zhang

Niu

Mao

et al. 2021

Preprint

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With the development of wireless communication, higher requirements arise for train-ground wireless communications in high-speed railway (HSR) scenarios. The millimeter-wave (mm-wave) frequency band with rich spectrum resources can provide users in HSR scenarios with high performance broadband multimedia services, while the full-duplex (FD) technology has become mature. In this paper, we study train-ground communication system performance in HSR scenarios with mobile relays (MRs) mounted on rooftop of train and operating in the FD mode. We formulate a nonlinear programming problem to maximize network capacity by allocation of spectrum resources. Then, we develop a sequential quadratic programming (SQP) algorithm based on the Lagrange function to solve the bandwidth allocation optimization problem for track-side base station (BS) and MRs in this mm-wave train-ground communication system. Extensive simulation results demonstrate that the proposed SQP algorithm can effectively achieve high network capacity for trainground communication in HSR scenarios while being robust to the residual self-interference (SI).

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Section: B Sqp Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%