NDLI: A mixed quality of service based linear transceiver design for a multiuser MIMO network with linear transmit covariance constraints

Content Provider	IEEE Xplore Digital Library
Author	Cumanan, K. Rahulamathavan, Y. Lambotharan, S. Ding, Z.
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK (Cumanan, K.; Ding, Z.) \|\| Sch. of Electr., Loughborough Univ., Loughborough, UK (Lambotharan, S.) \|\| Sch. of Eng. & Math. Sci., City Univ. London, London, UK (Rahulamathavan, Y.)
Abstract	We solve a mixed quality of services (QoS) requirement problem for a multiple-input-multiple-output (MIMO) network with multiple linear transmit covariance constraints. Specifically, we design linear transceivers to satisfy the data rate requirements for a set of users while the rates of the remaining users are balanced. In addition, the design will ensure a set of multiple linear transmit covariance constraints are satisfied. The coupled structure of the transmit filters makes the original problem difficult to solve in the broadcast channel (BC). Hence, we propose an iterative algorithm to solve this mixed QoS problem based on stream-wise mean square error (MSE) duality and alternating optimization framework where the optimization problem is switched between the virtual multiple access channel (MAC) and the BC by exploiting stream-wise MSE duality. The proposed iterative algorithm solves the rate balancing problem by modifying the target rates of the users. In each iteration, a quadratically constrained quadratic programming (QCQP) is solved to obtain the virtual MAC receiver filters by incorporating multiple linear transmit covariance constraints, where the downlink receiver filters are obtained by minimizing each layer MSE. The power allocation in the virtual MAC is determined by solving a geometric programming (GP) where the product of layer MSEs of each user is balanced with total transmit power constraint. Simulation results for an underlay MIMO cognitive radio network demonstrate the convergence of the proposed algorithm.
Starting Page	3895
Ending Page	3899
File Size	276165
Page Count	5
File Format	PDF
ISBN	9781467359382
ISSN	15253511
e-ISBN	9781467359399
e-ISBN	9781467359375
DOI	10.1109/WCNC.2013.6555197
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Receivers Resource management MIMO Quality of service Convergence Interference Downlink
Content Type	Text
Resource Type	Article

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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
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