NDLI: Efficient beam allocation strategy for statistical beamforming-based massive multiple-input

Content Provider	IET Digital Library
Author	Jayakumar, Roscia Jeya Shiney Ganesan, Indumathi
Abstract	This study focuses on an efficient fairness aware beam allocation strategy which is based on user position approach. The proposed algorithm is efficient to cope with the effects of user position uncertainties and imperfect channel state information (CSI). It allocates beam to individual users based on directivity and user position with the objective of serving many users simultaneously. On the basis of the user position, individual data rate requirements are also considered in the proposed scheme which is very much important for practical systems thereby considering the fairness issue amongst the users. The proposed scheme is best suited for a system with covariance-based beamforming, where statistical CSI is highly preferred under high dense deployments and the channel coherence time is short. It also requires low average feedback load with less multiuser interference and is of low complexity compared with the searching-based beam allocation strategy. The simulation results are given to show the advantage of the proposed beam allocation on comparing with the prevailing schemes.
Starting Page	2461
Ending Page	2468
Page Count	8
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 16, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5120
Journal	IET Communications
Publisher Date	2019-06-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Signal Processing Channel Coherence Time Covariance-based Beamforming Electromagnetic Compatibility Fairness Aware Beam Allocation Feedback Load Imperfect Channel State Information Individual Data Rate Requirements Interference Massive Multiple-input–multiple-output Downlink Systems MIMO Communication Multiuser Interference Radio Frequency Interference Radio Link And Equipment Resource Allocation Signal Processing And Detection Statistical Analysis Statistical Beamforming Statistical CSI Statistics User Position Uncertainties
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

Beam combination scheme for multi-user massive MIMO systems

Coordinated multicell beamforming for massive multiple-input multiple-output systems based on uplink–downlink duality

Greedy user selection for zero-forcing and MMSE multiuser beamforming with channel estimation errors

Beam allocation and performance evaluation in switched-beam based massive MIMO systems

Performance of partial block diagonalisation and conjugate beamforming in downlink multiuser MIMO system

Robust linear processing for downlink multiuser mimo system with imperfectly known channel (811).

Robust Downlink Beamforming in Multiuser MISO Cognitive Radio Networks With Imperfect Channel-State Information

MVDR-Based Multicell Cooperative Beamforming Techniques for Unicast/Multicast MIMO Networks With Perfect/Imperfect CSI

Tomlinson-Harashima Precoding for Multiuser MIMO Downlink with Imperfect Channel State Information

Efficient beam allocation strategy for statistical beamforming-based massive multiple-input–multiple-output downlink systems

Similar Documents

Beam combination scheme for multi-user massive MIMO systems

Coordinated multicell beamforming for massive multiple-input multiple-output systems based on uplink–downlink duality

Greedy user selection for zero-forcing and MMSE multiuser beamforming with channel estimation errors

Beam allocation and performance evaluation in switched-beam based massive MIMO systems

Performance of partial block diagonalisation and conjugate beamforming in downlink multiuser MIMO system

Robust linear processing for downlink multiuser mimo system with imperfectly known channel (811).

Robust Downlink Beamforming in Multiuser MISO Cognitive Radio Networks With Imperfect Channel-State Information

MVDR-Based Multicell Cooperative Beamforming Techniques for Unicast/Multicast MIMO Networks With Perfect/Imperfect CSI

Tomlinson-Harashima Precoding for Multiuser MIMO Downlink with Imperfect Channel State Information

Efficient beam allocation strategy for statistical beamforming-based massive multiple-input–multiple-output downlink systems