Robust Energy Harvesting FD Transmission: Interference Suppression Versus Exploitation

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

doi:10.1109/lcomm.2018.2848929

Cited by 10 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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.…”

Section: Full-duplex (Fd) Communicationsmentioning

confidence: 99%

“…Importantly, the multi-objective framework allows the flexible tradeoff between the uplink power savings and the downlink power savings, which further leads to an improvement in the overall energy efficiency. In addition, CI-based FD communications have also been considered in the presence of imperfect CSI in [103], where a robust design for the joint minimization of the uplink and downlink transmit power and maximization of the harvested energy is studied subject to channel estimation errors. It is shown by numerical results that the gain in the harvested energy can be as large as 5dBm with an increase in the downlink transmit power.…”

Section: Full-duplex (Fd) Communicationsmentioning

confidence: 99%

“…For unicast applications where the base station (BS) transmits individual information to each receiver, PM aims to minimize the total transmit power at the BS subject to a common minimum SINR target for all the receivers [8] or an individual SINR target for each user [9], while SB targets at maximizing the minimum SINR for each receiver while satisfying a total transmit power requirement [10] or a perantenna power constraint [16] at the BS. Given the capability of adaptation to various wireless communication scenarios, optimization-based precoding schemes have been extended to a variety of research areas such as cognitive radio (CR) [19]- [40], simultaneous wireless information and power transfer (SWIPT) [41]- [60], physical-layer (PHY) security [61]- [79], full-duplex (FD) communications [80]- [103], etc., which will be overviewed in the corresponding chapters in the following. For both closed-form linear precoding methods [3]- [7] and optimization-based schemes [8]- [16] described above, it is observed that only the information of the channel is exploited for the precoding design, and these precoding methods all treat interference as a detrimental effect.…”

mentioning

confidence: 99%

See 2 more Smart Citations

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

View full text Add to dashboard Cite

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.

show abstract

Section: Full-duplex (Fd) Communicationsmentioning

confidence: 99%

Section: Full-duplex (Fd) Communicationsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…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%

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

Kabir

Masouros

2019

IEEE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…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)

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Robust Energy Harvesting FD Transmission: Interference Suppression Versus Exploitation

Cited by 10 publications

References 10 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

Contact Info

Product

Resources

About