Joint femtocell clustering and cross-tier interference mitigation with distributed antenna system in small cell networks

Ndong, Massa; Fujii, Takeo

doi:10.1109/csndsp.2014.6923908

Cited by 1 publication

(2 citation statements)

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“…Clustering algorithm and cooperative relay schemes have been used in multiple interference management schemes for a better radio resource allocation, interference management or power control [12]. The authors in [13], [14] investigated a management of cross-tier interference, where a novel femtocell clustering based on interference cancellation (IC) was introduced. A distributed antenna system was also used to mitigate cross-tier interference between macrocell and femocells.…”

Section: A Related Researchmentioning

confidence: 99%

“…where d FAP j,x is the decoding vector for x th FUE of j th FAP and y FAP j is as in (14). In order to minimize the power noise component, we employ the coordinated MMSE algorithm that minimizes the sum MSE at the j th FAP estimated as min w FAP j1 ,...,w…”

Section: A Coordinated Mmse Approach For Femtocell and Mues Transceiver During The First Time Slot 1) Optimization Of The Faps Pre-codingmentioning

confidence: 99%

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Interference Management in LTE-Advanced Cooperative Relay Networks: Decentralized Transceiver Design With Channel Estimation

2019

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Wireless networks improve indoor communications by deploying femtocell networks into the macrocell coverage. This results in spectrum sharing with the consequences of cross-tier interference from the macrocell user equipment (MUEs) to the femtocell access points (FAPs). This work considers the uplink cross-tier interference management for the cell-edge MUEs (CUEs) in cooperative multi-user multiple input multiple output (MU-MIMO) systems. For better interference management, the CUEs are grouped into clusters and communicate to the macrocell base station (MBS) through a relay node (RN). The linear pre-coders and decoders algorithms for the FAPs, MUEs and CUEs are proposed for effective interference management to minimize the sum mean square error (MSE), subject to the total transmit power constraints. The designed pre-coders and decoders use the pilot-assisted channel estimation to improve the accuracy of the acquired channel state information (CSI). The least-square (LS) and minimum MSE (MMSE) channel estimators are considered. The performance of the system is investigated in terms of the bit error rate (BER) for the linear pre-coders and decoders algorithms with the pilot-assisted channel estimators.INDEX TERMS Channel estimation, decentralized transceiver, femtocells, long term evolution-advanced, relay node, uplink communication. FAMBIRAI TAKAWIRA (M'96) received the B.Sc. degree (Hons.

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Section: A Related Researchmentioning

confidence: 99%

Section: A Coordinated Mmse Approach For Femtocell and Mues Transceiver During The First Time Slot 1) Optimization Of The Faps Pre-codingmentioning

confidence: 99%

Interference Management in LTE-Advanced Cooperative Relay Networks: Decentralized Transceiver Design With Channel Estimation

2019

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Joint femtocell clustering and cross-tier interference mitigation with distributed antenna system in small cell networks

Cited by 1 publication

References 12 publications

Interference Management in LTE-Advanced Cooperative Relay Networks: Decentralized Transceiver Design With Channel Estimation

Interference Management in LTE-Advanced Cooperative Relay Networks: Decentralized Transceiver Design With Channel Estimation

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