Joint Interference Suppression and Multiuser Detection Schemes for Multi-Cell Wireless Relay Communications: A Three-Cell Case

Canbolat, Ahmet Ihsan; Fukawa, Kazuhiko

doi:10.1109/tcomm.2017.2780246

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…Reference [9] discussed the intracell and intercell interference between macro and small cells, following by the analysis of success probabilities in UDN under both small-scale and large-scale fading. Based on the interference analysis inside small cells, [10] designed an interference mitigation scheme for both intra-tier and cross-tier structures, through utilizing both distributions of orthogonal spectrum and information exchange amongst the small cells. Furthermore, considering the non-orthogonal spectrum sharing, [11] et al investigated the interference through a stochastic way, to minimize the global and local interference generated by small cells to the macro cell networks.…”

Section: Introductionmentioning

confidence: 99%

Maximizing Average Sum Rate of Small Cells in 5G Ultra-dense Networks with Deployment Optimization

Luo

Yang

Zhang

et al. 2020

Preprint

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As the evolution of trends of intelligent IoT in 5G era, ultra-dense networks (UDN) become a promising paradigm via densely deploying small cells in cellular networks, where the transmission rate of mobile users can be highly improved. In this paper, an investigative study was presented regarding optimizing deployment of small cell base stations (BS) to maximize the average sum rate (ASR) in 5G UDN. In particular on a stochastic geometrical perspective, a homogeneous-type Poisson point process (PPP) was used for depicting an arbitrary arrangement of both macro cell user equipment (UE) and small cell BSs. Moreover, the closed-form probabilities of successful transmission was derived regarding the uplink and downlink of small cells. Then, the ASR of small cells was obtained as well as the problem of maximizing ASR was analyzed with outage constraints. Further, the study also demonstrated that the maximum ASR located in a closed interval of small cell BS density, where the lower and higher bounds of the interval were obtained. Finally, for maximizing the ASR value, the optimal small cell BS density in a closed-form was derived out with convex optimization theory. Simulation analysis indicated that different constraints from the macro cell network led to different maximum ASRs, and interferences caused by small cells and macro cell UE had likewise influenced the performance of small cells.

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Section: Introductionmentioning

confidence: 99%