An Efficient Precoder Design for Multiuser MIMO Cognitive Radio Networks With Interference Constraints

We consider a linear precoder design for an underlay cognitive radio multiple-input multiple-output (MIMO) broadcast channel, where the secondary system consisting of a secondary base station (BS) and a group of secondary users is allowed to share the same spectrum with the primary system. All the t...

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Vydáno v:IEEE transactions on vehicular technology Ročník 66; číslo 5; s. 3991 - 4004
Hlavní autoři: Van-Dinh Nguyen, Le-Nam Tran, Duong, Trung Q., Oh-Soon Shin, Farrell, Ronan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.05.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Antennas
Array signal processing
Beamforming
broadcast channel (BC)
Cognitive radio
cognitive radio (CR)
Computer simulation
Convergence
Discrete time systems
Interference
Iterative methods
Maximum power
MIMO
multiple-input multiple-output (MIMO)
Numerical analysis
Precoding
Radio broadcasting
Receivers
Receivers & amplifiers
Relaxation method (mathematics)
Saddle points
sum rate (SR) maximization
Throughput
Transceivers
zero-forcing (ZF)
ISSN:0018-9545, 1939-9359
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Popis
Shrnutí:We consider a linear precoder design for an underlay cognitive radio multiple-input multiple-output (MIMO) broadcast channel, where the secondary system consisting of a secondary base station (BS) and a group of secondary users is allowed to share the same spectrum with the primary system. All the transceivers are equipped with multiple antennas, each of which has its own maximum power constraint. Assuming zero-forcing (ZF) method to eliminate the multiuser interference, we study the sum rate maximization problem for the secondary system subject to both per-antenna power constraints at the secondary BS and the interference power constraints at the primary users. The problem of interest differs from the ones studied previously that often assumed a sum power constraint and/or single antenna employed at either both the primary and secondary receivers or the primary receivers. To develop an efficient numerical algorithm, we first invoke the rank relaxation method to transform the considered problem into a convex-concave problem based on a downlink-uplink result. We then propose a barrier interior-point method to solve the resulting saddle point problem. In particular, in each iteration of the proposed method we find the Newton step by solving a system of discrete-time Sylvester equations, which help reduce the complexity significantly, compared to the conventional method. Simulation results are provided to demonstrate fast convergence and effectiveness of the proposed algorithm.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2016.2602844