Energy Efficiency and Spectral Efficiency Trade-Off in MIMO Broadcast Channels

Spectral efficiency (SE) and energy efficiency (EE) are the main performance metrics for designing green radio (GR) networks; however they are conflicting criteria. Consequently, instead of separately focusing on either SE or EE, characterizing the fundamental trade-off between EE and SE of MIMO bro...

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Published in:2015 IEEE 81st Vehicular Technology Conference (VTC Spring) pp. 1 - 5
Main Authors: Jie Tang, So, Daniel K. C., Alsusa, Emad, Hamdi, Khairi, Shojaeifard, Arman
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2015
Subjects:
Algorithm design and analysis
Covariance matrices
MIMO
Optimization
Power demand
Resource management
Wireless communication
ISSN:1550-2252
Online Access:Get full text
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Abstract Spectral efficiency (SE) and energy efficiency (EE) are the main performance metrics for designing green radio (GR) networks; however they are conflicting criteria. Consequently, instead of separately focusing on either SE or EE, characterizing the fundamental trade-off between EE and SE of MIMO broadcast channels (BC) is significant for the development of green wireless communications. This paper investigates the fundamental EE-SE relationship in a multiple-input multiple-output (MIMO) broadcast channel, which is important for facilitating a desirable balance between energy savings and spectrum utilization. Through our investigation, we prove that EE-SE relationship for MIMO-BC is a quasiconcave function. Furthermore, EE is proved to be either strictly decreasing with SE or first strictly increasing and then strictly decreasing with SE. Based on these findings, we propose a two-layer resource allocation algorithm in order to tackle the comprehensive EE-SE trade-offs problem. The key of the proposed method lies in the inner-layer algorithm which is solved by applying the principle of multiple access channel - broadcast channel (MAC-BC) duality. The algorithm in its dual form is solved using sub-gradient method and bisection searching scheme. Simulation results confirm the theoretical findings and demonstrate that the proposed resource allocation algorithm can efficiently approach the optimal EE-SE trade-off for MIMO-BC.
AbstractList Spectral efficiency (SE) and energy efficiency (EE) are the main performance metrics for designing green radio (GR) networks; however they are conflicting criteria. Consequently, instead of separately focusing on either SE or EE, characterizing the fundamental trade-off between EE and SE of MIMO broadcast channels (BC) is significant for the development of green wireless communications. This paper investigates the fundamental EE-SE relationship in a multiple-input multiple-output (MIMO) broadcast channel, which is important for facilitating a desirable balance between energy savings and spectrum utilization. Through our investigation, we prove that EE-SE relationship for MIMO-BC is a quasiconcave function. Furthermore, EE is proved to be either strictly decreasing with SE or first strictly increasing and then strictly decreasing with SE. Based on these findings, we propose a two-layer resource allocation algorithm in order to tackle the comprehensive EE-SE trade-offs problem. The key of the proposed method lies in the inner-layer algorithm which is solved by applying the principle of multiple access channel - broadcast channel (MAC-BC) duality. The algorithm in its dual form is solved using sub-gradient method and bisection searching scheme. Simulation results confirm the theoretical findings and demonstrate that the proposed resource allocation algorithm can efficiently approach the optimal EE-SE trade-off for MIMO-BC.
Author Hamdi, Khairi
Jie Tang
So, Daniel K. C.
Shojaeifard, Arman
Alsusa, Emad
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  givenname: Daniel K. C.
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  surname: Shojaeifard
  fullname: Shojaeifard, Arman
  email: a.shojaeifard@manchester.ac.uk
  organization: Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
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Snippet Spectral efficiency (SE) and energy efficiency (EE) are the main performance metrics for designing green radio (GR) networks; however they are conflicting...
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SubjectTerms Algorithm design and analysis
Covariance matrices
MIMO
Optimization
Power demand
Resource management
Wireless communication
Title Energy Efficiency and Spectral Efficiency Trade-Off in MIMO Broadcast Channels
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