2020
DOI: 10.1109/twc.2020.2990766
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Abstract: Intelligent reflecting surfaces (IRSs) constitute a disruptive wireless communication technique capable of creating a controllable propagation environment. In this paper, we propose to invoke an IRS at the cell boundary of multiple cells to assist the downlink transmission to cell-edge users, whilst mitigating the inter-cell interference, which is a crucial issue in multicell communication systems. We aim for maximizing the weighted sum rate (WSR) of all users through jointly optimizing the active precoding ma… Show more

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Cited by 810 publications
(560 citation statements)
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“…The figure shows that the proposed optimized scheme outperforms both baseline schemes without IRS and with random phases, and that the gain increases with the fronthaul capacity C. This is because, when C is small, the impact of carefully designing the IRSs' phases becomes minor due to the impact of the quantization noise signals {q i } i∈N A . Also, the gain increases with the signal-to-noise ratio (SNR) P/σ 2 z of the uplink channel, and this trend coincides with the observation reported in [10,Sec. IV].…”
Section: Numerical Resultssupporting
confidence: 88%
See 1 more Smart Citation
“…The figure shows that the proposed optimized scheme outperforms both baseline schemes without IRS and with random phases, and that the gain increases with the fronthaul capacity C. This is because, when C is small, the impact of carefully designing the IRSs' phases becomes minor due to the impact of the quantization noise signals {q i } i∈N A . Also, the gain increases with the signal-to-noise ratio (SNR) P/σ 2 z of the uplink channel, and this trend coincides with the observation reported in [10,Sec. IV].…”
Section: Numerical Resultssupporting
confidence: 88%
“…As a result, IRSs are considered as a costeffective solution to improve spectral and energy efficiency of wireless systems [8]- [11]. As examples of recent works on IRSs, references [9] and [10] addressed the joint design of downlink beamforming and IRSs' phases for interference management in multi-user [9] and multi-cell systems [10]. Reference [8] analyzed the number of reflecting elements of IRSs needed to beat conventional wireless relaying techniques (see also [12]).…”
Section: Introductionmentioning
confidence: 99%
“…1 is simulated for initialization and proposed Alg. all the algorithms converges rapidly within a few iterations (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30). As expected, the PGS based algorithms converge rapidly than the IGS based algorithms because the latter need to handle more optimization variables.…”
Section: Performance Resultssupporting
confidence: 53%
“…Problem (50) can be solved by the SDR method [17] by transforming the unimodulus constraint into a rank-one constraint, however, the rank-one solution cannot always be obtained and the computational complexity is high for the SDR method. Thus, we propose to solve Problem (50) efficiently by the MM algorithm as [15], where the closedform solution can be obtained in each iteration. Details are omitted for simplicity.…”
Section: Optimizing the Phase Shifts φmentioning
confidence: 99%
“…By smartly tuning the phase shifts with a preprogrammed controller, the direct signals from the BS and the reflected signals from the IRS can be combined constructively or destructively according to different requirements. Due to the light weight and compact size, the IRS can be integrated into the traditional communication systems with minor modifications [15]. Nowadays, the IRS has been introduced into various wireless communication systems, including the single-user case [16], the multiuser case [13], [17], [18], the mobile edge computing [19], the wireless information and power transfer design [20], and the physical layer security design [21]- [24].…”
Section: Introductionmentioning
confidence: 99%