designing$wirelessbroadband$ accessfor$energy efficiencyebjornson/presentation_icc2015.pdf ·...
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Are Small Cells the Only Answer?
Designing Wireless Broadband Access for Energy Efficiency
Emil Björnson1, Luca Sanguinetti2,3, Marios Kountouris3,4
1 Linköping University, Linköping, Sweden2 University of Pisa, Pisa, Italy3 CentraleSupélec, Gif-sur-Yvette, France 4 Huawei Technologies, Paris, France
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INTRODUCTION
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Energy Efficiency
• Benefit-Cost Analysis of Networks
• Definition: Energy Efficiency (EE):
EE [bit/Joule] = Average Sum Rate bit/s/km9
Power Consumption Joule/s/km9
• Future networks: 1000x more data à 1000x higher EE
• How to Improve Energy Efficiency?• One approach: Reduce radiated power
Achieved by smaller cells
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NetworkBenefit:Sum Rate [bit/s]
Cost:Power Consumption[Watt = Joule/s]
Is Smaller Cells the Only Answer?1. Formulate EE maximization mathematically2. Optimize cell density and other parameters – what do we get?
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PROBLEM FORMULATION
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System Model and Average Rate
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Random Network Deployment
Access points (AP) positions asPoisson point process (PPP) Ψ@
𝑀 antennas per AP, 𝐾 users per cell
Pathloss: 𝜔DE(distance [km])DJ
Scenario: Downlink Broadband AccessPerfect channel knowledge Zero-‐forcing precodingTransmit power per user: 𝜌 Hardware distortion at users: 𝜖9
Proposition 1: Lower Bound on Average Rate
𝑅 = 𝐵 O log9 1 +(1 − 𝜖9)(𝑀 − 𝐾)
2𝐾𝛼 − 2 + 𝜖
9 𝑀− 𝐾 + 𝑀𝜋𝜆 J/9
𝜔𝜎9𝜌
Bandwidth
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AEC = 𝜆𝐾𝜌η + 𝐶Z + 𝐷Z𝑀+ 𝐶E𝐾+ 𝐷E𝑀𝐾
Generic Power Consumption Model
• Many Components Consume Power• Radiated transmit power
• Baseband signal processing (e.g., precoding)• Active circuits (e.g., converters, mixers, filters)
• Area Energy Consumption [Joule/s/km9]:
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Fixed power(backhaul, load-‐ind. processing)
Power amplifier(η is efficiency)
Circuit power pertransceiver chain
Cost of digital signal processing(e.g., precoding)Nonlinear increasing
function of M and 𝐾Many coefficients: η,𝐶],𝐷^ for 𝑖 = 0,1
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Problem Formulation
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Energy Efficiency Optimizationmaximize𝜌, 𝜆,𝑀, 𝐾
𝜆𝐾𝑅
𝜆 𝐾𝜌η + 𝐶Z +𝐷Z𝑀 +𝐶E𝐾+ 𝐷E𝑀𝐾
subject to 𝑅/𝐵 = 𝛾
Optimization variables: 𝜌 = transmit power, 𝜆 = AP density,𝑀 = antennas per AP, 𝐾 = users per AP
Spectral efficiency (SE) constraint 𝛾 needed to not get overly low rates
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ANALYTICAL AND NUMERICAL RESULTS
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Optimality of Small Cells
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Theorem 1: Optimal AP Density
The EE increases with 𝜆.EE maximized as 𝜆 → ∞ or at some upper value 𝜆ghi
Saturation Property
Higher density 𝜆 à Less transmit powerà Eventually negligible
Simulations show saturation at 𝜆 ≥ 10950 meters between APs: Saturation appears in practice!
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Optimization of Remaining Variables
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Theorem 2: Optimal Transmit Power
Constraint satisfied if 𝜌∗ =lmnoonlmpl
qrls(t/luo)vw t/l
xDyD lmnoonlmpl
lztnl
Theorem 3: Optimal Number of Antennas (fixed 𝐾)
EE maximized by 𝑀∗ = 𝐾 + 9y(9mDE)(JD9)(ED9m{l) +
9mDEED9m{l
y|}l~(J/9�E)� �@ t/l(����oy)
Theorem 4: Optimal Number of Users (fixed 𝑀/𝐾 = 𝛽)
EE maximized by 𝐾∗ =lmnoonlmpl
qrls(t/luo)� vw t/l
��o(�DEDlmnoonlmpl
ltnl)
+ ����o
Removes 𝜌 from EE optimization problem(Only 𝑀 and 𝐾 remain)
Iterate betweenthese till convergence:
Find real-‐valued global solution
Tradeoffs and connections established formulas!
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Simulation Parameters
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Simulation Parameter Symbol Value
Pathloss exponent 𝛼 3.76
Pathloss over noise at 1 km 𝜔/𝜎9 33 dBmAmplifier efficiency 𝜂 0.39
Level of hardware impairments 𝜖 0.05
Bandwidth 𝐵 20 MHz
Static power 𝐶Z 10 W
Circuit power per active user 𝐶E 0.1 W
Circuit power per AP antenna 𝐷Z 1 W
Signal processing coefficient 𝐷E 3.12 mW
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Impact of Number of Antennas and Users
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Simulation
AP density 𝜆 = 10�
SE constraint: 𝛾 = 3
Observations
Optimal: 𝑀∗ = 193, 𝐾∗ = 21
𝑀∗ ≫ 𝐾∗: Called “Massive MIMO”
Alternating optimization
finds real-‐valued solution
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Is it Ridiculous with 200 Antennas?
• Dimensionality: Half-wavelength Antenna Spacing• Example: 3.7 GHzSpacing: 4 cm
• Array = Flat-screen TV
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160 dual-polarized antennas, LuMaMi testbed, Lund University
Why Massive MIMO, Not Only Small Cells?
Small cells improve SNR, but not SINR
Massive MIMO improves SINRs by precoding
Circuit power costs are shared between users
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Impact of User Density
• text
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Simulation
Fixed user density 𝜇 users/km2
EE maximization with: 𝐾𝜆 = 𝜇
Range: 𝜇 = 109 (rural) to 𝜇 = 10� (mall)
Low User Density
Add more cells with 𝐾 ≈ 1
Most important to reduce pathloss
High User Density
Small cells with Massive MIMO
Saturation for 𝜇 ≥ 100
Covers most practical scenarios:EE independent of user load!
Energy Efficiency:
AP Density:
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SUMMARY
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Summary
• Designing Networks for Energy Efficiency• Optimize: AP density, transmit power, and antennas/users per cell• Analytical optimization: EE maximizing network deployment was found!
• Solution: Small cells with Massive MIMO capability• Intuition: Small cells à Negligible transmit power
Massive MIMO à Less interference, share costs over users
• Further Results:• Take channel estimation and imperfect channel knowledge into account1. E. Björnson, L. Sanguinetti, M. Kountouris, “Deploying Dense Networks for
Maximal Energy Efficiency: Small Cells Meet Massive MIMO,” Submitted to IEEE JSAC. (http://arxiv.org/pdf/1505.01181)
2. E. Björnson, L. Sanguinetti, M. Kountouris, “Energy-Efficient Future Wireless Networks: A Marriage between Massive MIMO and Small Cells,” Proceedings of IEEE SPAWC, July 2015. (http://arxiv.org/pdf/1506.01051)
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QUESTIONS?
Visit Emil Björnson online:http://www.commsys.isy.liu.se/en/staff/emibj29