2016
DOI: 10.12720/jcm.11.11.970-976
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Energy Efficiency Analysis of Multi-Antenna Heterogeneous Relay-Assisted Cellular Network via Stochastic Geometry

Abstract: Energy Efficiency (EE) of cellular networks has received considerable attention recently. However, EE of relayassisted cellular networks has not been thoroughly addressed, especially that the MBSs adopt multi-antenna. In this paper, considering downlink transmission of multi-antenna relayassisted cellular network where the MBSs and RSs are deployed in the Euclidean plane according to independent homogeneous Poisson point processes, meanwhile, an sleep mode strategy is used in MBS, a geometric model is built to… Show more

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Cited by 2 publications
(1 citation statement)
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“…Power consumption can be reduced and interference mitigated in RA by optimizing spectrum and power allocation to improve the EE and SE of the network. Literature [8] establishes an expression for EE in the entire heterogeneous cellular network, which provides a theoretical guide to improve the EE of the network. Literature [9] investigates energy-efficient power allocation and bandwidth allocation of wireless backhaul to maximize the system's EE of downlink in HetNets under certain QoS constraints, thus proposes an iterative resource allocation algorithm that is approximately optimal to achieve maximal EE.…”
Section: Introductionmentioning
confidence: 99%
“…Power consumption can be reduced and interference mitigated in RA by optimizing spectrum and power allocation to improve the EE and SE of the network. Literature [8] establishes an expression for EE in the entire heterogeneous cellular network, which provides a theoretical guide to improve the EE of the network. Literature [9] investigates energy-efficient power allocation and bandwidth allocation of wireless backhaul to maximize the system's EE of downlink in HetNets under certain QoS constraints, thus proposes an iterative resource allocation algorithm that is approximately optimal to achieve maximal EE.…”
Section: Introductionmentioning
confidence: 99%