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Energy-Efficient Design of MIMO Heterogeneous Networks With Wireless Backhaul

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TLDR
It is shown that a two-tier HetNet with wireless backhaul can be significantly more energy efficient than a one-tier cellular network, however, this requires the bandwidth division between radio access links and wirelessBackhaul to be optimally designed according to the load conditions.
Abstract
As future networks aim to meet the ever-increasing requirements of high-data rate applications, dense, and heterogeneous networks (HetNets) will be deployed to provide better coverage and throughput. Besides the important implications for energy consumption, the trend toward densification calls for more and more wireless links to forward a massive backhaul traffic into the core network. It is critically important to take into account the presence of a wireless backhaul for the energy-efficient design of HetNets. In this paper, we provide a general framework to analyze the energy efficiency of a two-tier MIMO heterogeneous network with wireless backhaul in the presence of both uplink and downlink transmissions. We find that under spatial multiplexing the energy efficiency of a HetNet is sensitive to the network load, and it should be taken into account when controlling the number of users served by each base station. We show that a two-tier HetNet with wireless backhaul can be significantly more energy efficient than a one-tier cellular network. However, this requires the bandwidth division between radio access links and wireless backhaul to be optimally designed according to the load conditions.

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Citations
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References
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TL;DR: While the proposed algorithms are suboptimal, they lead to simpler transmitter and receiver structures and allow for a reasonable tradeoff between performance and complexity.
Journal ArticleDOI

On the achievable throughput of a multiantenna Gaussian broadcast channel

TL;DR: Under certain mild conditions, this scheme is found to be throughput-wise asymptotically optimal for both high and low signal-to-noise ratio (SNR), and some numerical results are provided for the ergodic throughput of the simplified zero-forcing scheme in independent Rayleigh fading.
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Stochastic Geometry for Wireless Networks

TL;DR: This rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects.
Journal ArticleDOI

On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming

TL;DR: It is shown that a zero-forcing beamforming (ZFBF) strategy, while generally suboptimal, can achieve the same asymptotic sum capacity as that of DPC, as the number of users goes to infinity.
Journal ArticleDOI

How much energy is needed to run a wireless network

TL;DR: The most important addenda of the proposed E3F are a sophisticated power model for various base station types, as well as large-scale long-term traffic models, which are applied to quantify the energy efficiency of the downlink of a 3GPP LTE radio access network.
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