Maximization of Worst-Case Weighted Sum-Rate for MISO Downlink Systems With Imperfect Channel Knowledge

Joshi, Satya Krishna; Wijewardhana, Uditha Lakmal; Codreanu, Marian

doi:10.1109/tcomm.2015.2464216

Cited by 11 publications

(11 citation statements)

References 45 publications

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“…However, for problem (3), these approaches are inapplicable, since µ k is a variable. Popular existing approaches to solving (3) are based on robust optimization [19]. In particular, sphere bounding is used to turn (3b) into semi-infinite constraints [4].…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…In particular, sphere bounding is used to turn (3b) into semi-infinite constraints [4]. Then a tractable safe approximation is achieved by treating error vector θ k at the numerator and the denominator of γ k (v k ; θ k ) independently [11], [19], [20]. However, the application of the such approach is restricted to the specific case of distribution of θ k , i.e.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information

Tran

Juntti

2021

IEEE Trans. Veh. Technol.

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We consider downlink transmission whereby a multiantenna base station simultaneously transmits data to multiple single-antenna users. We focus on slow flat fading channel where the channel state information is imperfect, the channel estimation error is unbounded and its statistics are known. The aim is to design beamforming vectors such that the sum rate is maximized under the constraints on probability of successful transmission for each user and maximum transmit power. The optimization problem is intractable due to the chance constraints. To this end, we propose an efficient solution drawn upon stochastic optimization. In particular, we first use the step function and its smooth approximation to get an approximate nonconvex stochastic program of the considered problem. We then develop an iterative procedure to solve the stochastic program based on the stochastic successive convex approximation framework. The numerical results show that the proposed solution can achieve remarkable sum rate gains compared to the conventional one.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: System Model and Problem Formulationmentioning

confidence: 99%

On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information

Tran

Juntti

2021

IEEE Trans. Veh. Technol.

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“…Hence, it is of paramount importance to incorporate CSI uncertainties into problem formulations of NOMA-based networks to guarantee the required quality-of-service (QoS) at different users. To this end, robust design is a standard approach to tackle the channel uncertainties [36]- [38] and it can be categorized primarily into two groups: I) worst-case design with norm-bounded channel uncertainties, where CSI errors are bounded within a known region [39], [40]; II) outage probability-based design by assuming that the channel errors are random variables with a known probability density function which is available at the transmitter [41], [42]. In [43], [44], robust designs for the multiple-input single-output (MISO) NOMA systems have been developed to maximize the sum rate and minimize the total transmit power, under the assumption of bounded channel uncertainties.…”

Section: A Literaturementioning

confidence: 99%

Robust Energy-Efficient Design for MISO Non-Orthogonal Multiple Access Systems

Alavi

Cumanan

Fozooni

et al. 2019

IEEE Trans. Commun.

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Non-orthogonal multiple access (NOMA) has been envisioned as a promising multiple access technique for 5G and beyond wireless networks due to its significant enhancement of spectral efficiency. In this paper, we investigate a robust energy efficiency design for multiuser multiple-input singleoutput (MISO) NOMA systems where imperfect channel state information is available at the base station. A clustering algorithm is applied to group the users into different clusters, and then NOMA technique is employed to share the available resources fairly among the users in each cluster. To remove the interference between clusters, two different types of zero-forcing (ZF) designs, namely, hybrid-ZF and full-ZF are employed at the BS. The full-ZF scheme completely removes the interference leakage at the cost of more number of antennas and the hybrid-ZF scheme partially mitigates the interference leakage. To solve the problem, the Dinkelbach's algorithm is employed to convert the non-linear fractional programming problem into a simple subtractive form. Finally, simulation results reveal that hybrid-ZF outperforms the full-ZF scheme with a few clusters, while full-ZF shows a better performance with the higher number of clusters. The numerical results confirm that our proposed robust scheme outperforms the non-robust scheme in terms of the rate-satisfaction ratio at each user.

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“…The robust sum rate optimization in non-orthogonal multiple access (NOMA) amplifying and forwarding (AF) relay networks is considered in [ 15 ], and the power allocation scheme and beamforming matrix are jointly optimized to achieve the maximum rate at the quality of service (QoS) constraints and relay transmission power constraints. In addition, a joint information beamforming and energy beamforming scheme based on semidefinite relaxation (SDR) and successive convex approximation (SCA) techniques is proposed to achieve the maximum secrecy rate of the multiple input single output (MISO) network [ 16 ], in which the CSI error is also restrained in a bounded elliptic region.…”

Section: Introductionmentioning

confidence: 99%

Robust Security Beamforming for SWIPT-Assisted Relay System with Channel Uncertainty

Guo

Jin

et al. 2022

Sensors

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This paper considers the physical layer security (PLS) of a simultaneous wireless information and power transfer (SWIPT) relay communication system composed of a legitimate source–destination pair and some eavesdroppers. Supposing a disturbance of channel status information (CSI) between relay and eavesdroppers in a bounded ellipse, we intend to design a robust beamformer to maximum security rate in the worst case on the constraints of relay energy consumption. To handle this non-convex optimization problem, we introduce a slack variable to transform the original problem into two sub-problems firstly, then an algorithm employing a semidefinite relaxation (SDR) technique and S-procedure is proposed to tackle above two sub-problems. Although our study was conducted in the scene of a direct link among source, destination, and eavesdroppers that is non-existing, we demonstrate that our conclusions can be easily extended to the scene for which a direct link among source, destination and eavesdroppers exist. Numerical simulation results compared with the benchmark scheme are provided to prove the effectiveness and superior performance of our algorithm.

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Maximization of Worst-Case Weighted Sum-Rate for MISO Downlink Systems With Imperfect Channel Knowledge

Cited by 11 publications

References 45 publications

On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information

On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information

Robust Energy-Efficient Design for MISO Non-Orthogonal Multiple Access Systems

Robust Security Beamforming for SWIPT-Assisted Relay System with Channel Uncertainty

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