Joint Antenna Array Mode Selection and User Assignment for Full-Duplex MU-MISO Systems

This paper considers a full-duplex (FD) multiuser multiple-input single-output system where a base station simultaneously serves both uplink (UL) and downlink (DL) users on the same time-frequency resource. The crucial barriers in implementing FD systems reside in the residual self-interference and...

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Vydané v:IEEE transactions on wireless communications Ročník 18; číslo 6; s. 2946 - 2963
Hlavní autori: Nguyen, Hieu V., Nguyen, Van-Dinh, Dobre, Octavia A., Wu, Yongpeng, Shin, Oh-Soon
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Antenna arrays
Antennas
Cochannel interference
Computer simulation
Convergence
Design optimization
Full-duplex radios
Interference
MISO (control systems)
Modal choice
multiuser transmission
non-convex programming
Optimization
Quality of service
robust design
self-interference
spectral efficiency
transmit beamforming
Transmitting antennas
user assignment
Wireless communication
Wireless networks
ISSN:1536-1276, 1558-2248
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Shrnutí:This paper considers a full-duplex (FD) multiuser multiple-input single-output system where a base station simultaneously serves both uplink (UL) and downlink (DL) users on the same time-frequency resource. The crucial barriers in implementing FD systems reside in the residual self-interference and co-channel interference. To accelerate the use of FD radio in future wireless networks, we aim at managing the network interference more effectively by jointly designing the selection of half-array antenna modes (in the transmit or receive mode) at the base station with time phases and user assignments. The first problem of interest is to maximize the overall sum rate subject to quality-of-service requirements, which is formulated as a highly non-concave utility function followed by non-convex constraints. To address the design problem, we propose an iterative low-complexity algorithm by developing new inner approximations, and its convergence to a stationary point is guaranteed. To provide more insights into the solution of the proposed design, a general max-min rate optimization is further considered to maximize the minimum per-user rate while satisfying a given ratio between UL and DL rates. Furthermore, a robust algorithm is devised to verify that the proposed scheme works well under channel uncertainty. The simulation results demonstrate that the proposed algorithms exhibit fast convergence and substantially outperform existing schemes.
Bibliografia:ObjectType-Article-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2019.2907489