NDLI: Multi-pair massive MIMO relay networks: power scaling laws and user scheduling strategy

Content Provider	IET Digital Library
Author	Liang, Xuesong Jin, Shi Wong, Kai Kit Hong, Tao Zhu, Hongbo
Abstract	This study studies a multi-pair massive multiple-input multiple-output (MIMO) relaying network, where multiple pairs of users are served by a single relay station with a large number of antennas, and the amplify-and-forward protocol and zero-forcing (ZF) beamforming are used at the relay. The authors investigate the ergodic achievable rates for the users and obtain tight approximations in closed form for finite number of antennas. The rate performance and power efficiency are studied based on the analytical results for asymptotic scenarios, and the effect of scaling factors of transmit powers for users and relay are discussed. The closed-form expressions enable us to determine the optimal user scheduling which maximizes the ergodic sum-rate for the selected pairs. A simplified user scheduling algorithm is proposed which greatly reduces the average complexity of the optimal use pair search without any rate loss. Moreover, the complexity reduction for the proposed algorithm increases nonlinearly with the increase of the number of user pairs, which indicates that the simplified scheduling algorithm has notable advantages when the number of users is increased. The tightness for the analytical approximations and the superiority of the proposed algorithm are verified by Monte-Carlo simulation results.
Starting Page	1619
Ending Page	1625
Page Count	7
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 10, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.1487
Journal	IET Communications
Publisher Date	2017-05-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Amplify And Forward Communication Amplify-and-forward Protocol Analytical Approximations Antenna Antenna Array Approximation Theory Array Signal Processing Closed-form Expression Combinatorial Mathematics Complexity Reduction Computational Complexity Ergodic Sum-rate Maximimization Interpolation And Function Approximation MIMO Communication Monte Carlo Simulation Method Multipair Massive MIMO Relay Network Multiple-input Multiple-output Relaying Network Numerical Analysis Optimal Use Pair Search Optimal User Scheduling Optimisation Technique Power Efficiency Power Scaling Law Protocol Radio Link And Equipment Rate Performance Relay Network Scaling Factors Search Problem Signal Processing And Detection Single Relay Station Telecommunication Telecommunication Scheduling Transmit Powers User Scheduling Strategy Zero-forcing Beamforming
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Effect of composite channel aging on the spectral efficiency of multi-pair massive multiple-input multiple-output amplify-and-forward relay networks

Low-complexity user scheduling for MMSE relaying with large-scale arrays

Secrecy performance of massive MIMO relay-aided downlink with multiuser transmission

Approximate sum rate for massive multiple-input multiple-output two-way relay with Ricean fading

Pricing user scheduling and precoding in relay-assisted massive MIMO systems

Ergodic sum rate analysis and efficient power allocation for a massive MIMO two-way relay network

High-rate relay beamforming for simultaneous wireless information and power transfer

Secrecy sum rate maximisation in multi-antenna two-way relay networks

Optimal beamforming for dual-hop MIMO AF relay networks with imperfect CSI

Multi-pair massive MIMO relay networks: power scaling laws and user scheduling strategy

Similar Documents

Effect of composite channel aging on the spectral efficiency of multi-pair massive multiple-input multiple-output amplify-and-forward relay networks

Low-complexity user scheduling for MMSE relaying with large-scale arrays

Secrecy performance of massive MIMO relay-aided downlink with multiuser transmission

Approximate sum rate for massive multiple-input multiple-output two-way relay with Ricean fading

Pricing user scheduling and precoding in relay-assisted massive MIMO systems

Ergodic sum rate analysis and efficient power allocation for a massive MIMO two-way relay network

High-rate relay beamforming for simultaneous wireless information and power transfer

Secrecy sum rate maximisation in multi-antenna two-way relay networks

Optimal beamforming for dual-hop MIMO AF relay networks with imperfect CSI

Multi-pair massive MIMO relay networks: power scaling laws and user scheduling strategy