A Low Complexity User Selection Algorithm for Full-Duplex MU-MISO Systems

Ahn, Minki; Kong, Han-Bae; Shin, Hun Min; Lee, Inkyu

doi:10.1109/twc.2016.2609902

Cited by 10 publications

(17 citation statements)

References 28 publications

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“…In [19], the authors have devised beamforming and power control mechanisms to maximize the spectral efficiency in FD multiple input single output (MISO) cellular networks. The work in [22] has proposed a user selection algorithm to maximize the spectral efficiency in FD MISO cellular networks, while fixed power and beamforming in the UL and DL are assumed. The authors in [20] have proposed a beamforming design for spectral efficiency maximization in FD multi-cell MIMO cellular networks, in which FD users as well as transmitter/receiver distortions are taken into account.…”

Section: Related Workmentioning

confidence: 99%

Smart Antenna Assignment is Essential in Full-Duplex Communications

Silva

Ghauch

Fodor

et al. 2021

IEEE Trans. Commun.

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Full-duplex communications have the potential to almost double the spectral efficiency. To realize such a potentiality, the signal separation at base station's antennas plays an essential role. This paper addresses the fundamentals of such separation by proposing a new smart antenna architecture that allows every antenna to be either shared or separated between uplink and downlink transmissions. The benefits of such architecture are investigated by an assignment problem to optimally assign antennas, beamforming and power to maximize the weighted sum spectral efficiency. We propose a near-to-optimal solution using block coordinate descent that divides the problem into assignment problems, which are NP-hard, a beamforming and power allocation problems. The optimal solutions for the beamforming and power allocation are established while near-to-optimal solutions to the assignment problems are derived by semidefinite relaxation. Numerical results indicate that the proposed solution is close to the optimum, and it maintains a similar performance for high and low residual self-interference powers. With respect to the usually assumed antenna separation technique and half-duplex transmission, the sum spectral efficiency gains increase with the number of antennas. We conclude that our proposed smart antenna assignment for signal separation is essential to realize the benefits of multiple antenna full-duplex communications.

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Section: Related Workmentioning

confidence: 99%

Smart Antenna Assignment is Essential in Full-Duplex Communications

Silva

Ghauch

Fodor

et al. 2021

IEEE Trans. Commun.

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“…The ULU and DLU information rate threshold constraints are crucial to resolve the so-called user fairness since the BS will favor users with a good channel condition. However, such additional rate threshold constraints were not addressed in [10], [15]. The residual SI and CCI are also taken into account, which potentially results in a practical system but leads to more challenging optimizations.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

“…< 1, thus the righthand side (RHS) of (15) is a convex function with respect to (w, φ)[21]. At this point, we apply an inner approximation convex method[22] for(15). Let us define a feasible point for x at the (n + 1)-th iteration in an iterative algorithm presented shortly as denoted by x (n) .…”

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confidence: 99%

Spectral Efficiency of Full-Duplex Multi-user System: Beamforming Design, User Grouping, and Time Allocation

Nguyen

et al. 2017

IEEE Access

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Full-duplex (FD) systems have emerged as an essential enabling technology to further increase the data rate of wireless communication systems. The key idea of FD is to serve multiple users over the same bandwidth with a base station (BS) that can simultaneously transmit and receive the signals. The most challenging issue in designing an FD system is to address both the harmful effects of residual self-interference caused by the transmit-to-receive antennas at the BS as well as the cochannel interference from an uplink user (ULU) to a downlink user (DLU). An efficient solution to these problems is to assign the ULUs/DLUs in different groups/slots, with each user served in multiple groups. Hence, this paper studies the joint design of transmit beamformers, ULUs/DLUs group assignment, and time allocation for each group. The specific aim is to maximize the sum rate under the ULU/DLU minimum throughput constraints. The utility function of interest is a difficult nonconcave problem, and the involved constraints are also nonconvex, and so this is a computationally troublesome problem. To solve this optimization problem, we propose a new path-following algorithm for computational solutions to arrive at least the local optima. Each iteration involves only a simple convex quadratic program. We prove that the proposed algorithm iteratively improves the objective while guaranteeing convergence. Simulation results confirm the fast convergence of the proposed algorithm with substantial performance improvements over existing approaches.Index Terms-Full-duplex radios, full-duplex self-interference, multiuser transmission, nonconvex programming, spectral efficiency, transmit beamforming, user grouping.

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“…Recent research interest focuses on application of FD techniques in cellular networks [6][7][8]. However, FD operation in the cellular system incurs uplink-to-downlink interference (UDI), which may reduce the FD gain if not properly managed [9]. Papers [10] and [11] studied UDI management in FD networks, and proposed UDI management schemes based on interference alignment and wireless side-channels respectively.…”

Section: Introductionmentioning

confidence: 99%

“…UE scheduling is an effective way to suppress the UDI by selecting the UL and the DL UEs that least interfere with each other [9,13,14]. The paper [9] proposed a two-step UE scheduling algorithm.…”

Section: Introductionmentioning

confidence: 99%

A scheduling algorithm based on downlink performance for full‐duplex MU‐MIMO systems

Zhang

Zou

et al. 2021

IET Communications

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A full-duplex (FD) multiuser multiple-input multiple-output (MU-MIMO) system, where a FD base station (BS) with multiple antennas serves multiple half-duplex (HD) user equipments (UEs) in both uplink (UL) and downlink (DL) via the same time-frequency resources, is considered. UE scheduling is in demand to manage the UL-to-DL interference (UDI) incurred by the FD operation. Existing scheduling algorithms require UDI channel state information between each pair of the candidate UEs, which incurs a significant amount of overhead as the number of UEs grows. To reduce the overhead, a new UE scheduling algorithm that uses channel reciprocity and UL-DL duality to design a scheduling algorithm based on downlink performance was designed. By selecting UEs only based on their DL channels and received UDI strength, the proposed scheme no longer requires the massive UDI channel state information (CSI). Numerical results demonstrate the proposed algorithm can achieve a near optimal performance without knowing any UDI CSI. 1 INTRODUCTION Full-duplex (FD) wireless communication has come closer to reality, thanks to development of self-interference cancellation and suppression techniques [1-5]. Recent research interest focuses on application of FD techniques in cellular networks [6-8]. However, FD operation in the cellular system incurs uplink-to-downlink interference (UDI), which may reduce the FD gain if not properly managed [9]. Papers [10] and [11] studied UDI management in FD networks, and proposed UDI management schemes based on interference alignment and wireless side-channels respectively. However, these two complex management schemes require communication nodes to cooperate closely with each other and a large amount of UDI channel estimation and feedback overhead, so their feasibility is very low for larger networks [12]. UE scheduling is an effective way to suppress the UDI by selecting the UL and the DL UEs that least interfere with each other [9, 13, 14]. The paper [9] proposed a two-step UE scheduling algorithm. The first step is to select some downlink UEs with the highest sum rate under the assumption of ignoring the influence of UDI. In the second step, when selecting an uplink UEs, we comprehensively consider the uplink sum rate This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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A Low Complexity User Selection Algorithm for Full-Duplex MU-MISO Systems

Cited by 10 publications

References 28 publications

Smart Antenna Assignment is Essential in Full-Duplex Communications

Smart Antenna Assignment is Essential in Full-Duplex Communications

Spectral Efficiency of Full-Duplex Multi-user System: Beamforming Design, User Grouping, and Time Allocation

A scheduling algorithm based on downlink performance for full‐duplex MU‐MIMO systems

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