Reducing self-interference in full duplex transmission by interference exploitation

Kabir, Mahmoud T.; Khandaker, Muhammad R. A.; Masouros, Christos

doi:10.1109/glocom.2017.8254804

Cited by 5 publications

(6 citation statements)

References 27 publications

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“…CI exploitation can also be applied to FD communications for additional performance improvements, as recently studied in [101]- [103] for both PSK and QAM constellations. The CIbased PM problem in a multi-user FD system is considered in [101] and [102], where a multi-objective optimization via the weighted Chebycheff method is employed to study the tradeoff between the two desirable design objectives, which are the total downlink transmit power at the BS and the total uplink power from the UEs. When PSK constellations are considered, the corresponding CI-based optimization for FD communications can be formulated as [102] P PSK CI-FD : min…”

Section: Full-duplex (Fd) Communicationsmentioning

confidence: 99%

A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

Spano

Krivochiza

et al. 2020

IEEE Commun. Surv. Tutorials

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204

127

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Interference is traditionally viewed as a performance limiting factor in wireless communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of work has shown that by manipulating the interfering signals such that they add up constructively at the receiver side, known interference can be made beneficial and further improve the system performance in a variety of wireless scenarios, achieved by symbol-level precoding (SLP). This paper aims to provide a tutorial on interference exploitation techniques from the perspective of precoding design in a multi-antenna wireless communication system, by beginning with the classification of constructive interference (CI) and destructive interference (DI). The definition for CI is presented and the corresponding mathematical characterization is formulated for popular modulation types, based on which optimization-based precoding techniques are discussed. In addition, the extension of CI precoding to other application scenarios as well as for hardware efficiency is also described. Proof-of-concept testbeds are demonstrated for the potential practical implementation of CI precoding, and finally a list of open problems and practical challenges are presented to inspire and motivate further research directions in this area.

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Section: Full-duplex (Fd) Communicationsmentioning

confidence: 99%

A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

Spano

Krivochiza

et al. 2020

IEEE Commun. Surv. Tutorials

Self Cite

204

127

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“…where (10) is convex and can be solved by standard convex solvers. Please note that, the formulation in (10) is a relaxed form of (9) where the rank one constraint on W i has been dropped. If the resulting solution W i after solving (10) is rank one, the optimal w i can be obtained by applying eigenvalue-decomposition (EVD), otherwise, ramdomization technique [28] can be used to retrieve w i .…”

Section: A Trade-off Optimization Based On Interference Suppressionmentioning

confidence: 99%

“…The spectral and energy efficiency maximization problems in a FD massive multple-input multiple-output (MIMO) relay system were studied in [8]. In contrast to the above works, which are all based on the concept of the traditional interference suppression, where, multi-user interference (MUI) is treated as unwanted, a multi-user FD system was studied in [9]- [11] by exploiting the downlink MUI rather than suppressing it. In [11], it was shown that by exploiting the downlink MUI, the downlink transmit power is reduced significantly.…”

Section: Introductionmentioning

confidence: 99%

“…In [11], it was shown that by exploiting the downlink MUI, the downlink transmit power is reduced significantly. In addition, although the downlink MUI is exploited, the power gains extend to the uplink through the self-interference serving as the link [9]. Similarly, a robust multi-user FD design with simultaneous wireless information and power transfer (SWIPT) was investigated in [10].…”

Section: Introductionmentioning

confidence: 99%

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A Scalable Energy vs. Latency Trade-Off in Full-Duplex Mobile Edge Computing Systems

Kabir

Masouros

2019

IEEE Trans. Commun.

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In this paper, we investigate the offloading energy and latency trade-off in a multiuser full-duplex (FD) system. We consider a multi-user FD system where a FD base station (BS), equipped with a mobile-edge computing (MEC) server, carries out data transmission in the downlink, while at the same time receiving computational tasks from mobile devices in the uplink. Our main aim is to study the trade-off between the offloading energy and latency, which are known to be very important and desirable system objectives for both the system operator and users. In practice, there always exist a trade-off between these two objectives. Towards this aim, we formulate two weighted multi-objective optimization problems (MOOPs), one, where the multi-user interference (MUI) is suppressed and the other, where MUI is rather exploited. As a result, our proposed MOOPs allow for a scalable tradeoff between the two objectives. To tackle the non-convexity of the formulations, we design an iterative algorithm through Lagrangian method. We also, address the scenario of imperfect channel state information (CSI) at the FD BS. For the imperfect CSI case, we apply convex relaxations and transformation using the S-procedure to tackle the non-convexity of the formulations. Simulation results show the effectiveness of the proposed FD schemes compared with the existing baseline half duplex schemes, and the superiority of MUI exploitation over suppression.

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“…In [? ], [4], [5], the authors used the knowledge of the DL signals at the FD BS to exploit multi-user interference (MUI) instead treating the MUI as unwanted as in traditional interference suppression techniques. In addition, it was shown that by exploiting the downlink MUI, the downlink transmit power is reduced significantly, although the downlink MUI is exploited, the power gains extend to the uplink through the self-interference serving as the link [4].…”

Section: Introductionmentioning

confidence: 99%

Minimizing Energy and Latency in FD MEC Through Multi-objective Optimization

Kabir

Khandaker

Masouros

2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, we consider a multi-user full duplex (FD) mobile edge computing (MEC) system, where a FD base station (BS) integrated with a MEC server, simultaneously transmits information signals to downlink users through the downlink and receive computation tasks for execution by the MEC server from mobile devices in the uplink. We study the trade-off between the offloading energy and latency by minimize the total offloading energy and latency via a weighted multi-objective optimization problem. First, we propose a design strategy based on the traditional interference suppression in the downlink, and then, we proposed a second design based on downlink interference exploitation. We employ Lagrangian methods to solve the two non-convex designs via an iterative algorithm. Simulation results not only show the trade-off between the offloading energy and latency, but also show the substantial gains achieved by the proposed FD schemes compared with the baseline half duplex schemes.

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Reducing self-interference in full duplex transmission by interference exploitation

Cited by 5 publications

References 27 publications

A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

A Scalable Energy vs. Latency Trade-Off in Full-Duplex Mobile Edge Computing Systems

Minimizing Energy and Latency in FD MEC Through Multi-objective Optimization

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