Robust Beamforming for Wireless Information and Power Transmission

By Zhengzheng Xiang, Meixia Tao. IEEE Wireless Communications Letters, 2012

369 citations recorded by the source corpus.

In this letter, we study the robust beamforming problem for the multi-antenna wireless broadcasting system with simultaneous information and power transmission, under the assumption of imperfect channel state information (CSI) at the transmitter. Following the worst-case deterministic model, our objective is to maximize the worst-case harvested energy for the energy receiver while guaranteeing that the rate for the information receiver is above a threshold for all possible channel realizations. Such problem is nonconvex with infinite number of constraints. Using certain transformation techniques, we convert this problem into a relaxed semidefinite programming problem (SDP) which can be solved efficiently. We further show that the solution of the relaxed SDP problem is always rank-one. This indicates that the relaxation is tight and we can get the optimal solution for the original problem. Simulation results are presented to validate the effectiveness of the proposed algorithm.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6512ee3eef67683c4b0afdc2b7fc00ca899c48be

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment (2012, background): “The novel problem formulation has motivated a series of extension where the said tradeoff is optimized for more complex SWIPT systems including multiple-input-multiple-output (MIMO) broadcast channels [14], [15], two-way channels [16], relay assisted communication [17], and broadband channels [18], ”
Wireless Information and Power Transfer With Full Duplex Relaying (2014, background): “T he extension of imperfect channel state information (CSI) at t he transmitter was addressed in [6].”
Robust Beamforming for Secure Communication in Systems With Wireless Information and Power Transfer (2013, background): “Moreover , th separated receiver proposed in the literature [2], [19] is also a special case of the considered hybrid receivers.”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, methodology): “Xiang et al [170] MISO downlink system with a single information receiver and energy harvester Maximization of the worst-case harvested energy at energy harvester Information rate target at information receiver Semi-infinite non-convex quadratically constrained quadratic program Semidefinite relaxat”
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, methodology): “Thus, new algorithms have been designed to accommodate these estimation errors [43], [56], [78], [113], [114].”
Wireless Information and Power Transfer in Multiuser OFDM Systems (2013, background): “[4] extended the work in [1] by considering imperfect channel state information (CSI) at the transmitter for a multiple-input single-output (MISO) system.”
Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks (2013, positive): “The simultaneous transfer of power and information is also studied in multipl einput multiple-output systems in [6], and its extension to t he scenario with imperfect channel information at the transmi tter was considered in [7].”
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming (2021, background): “, in [33], in which the problem is solved by SDR, followed by a rigouros proof of the SDR tightness.”
Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems (2013, background): “Moreover, [5] extended [1] to the case with imperfect channel state information (CSI) at the transmitter.”
Relaying Protocols for Wireless Energy Harvesting and Information Processing (2012, background): “The majority of the recent research in wireless energy harvesting and information processing has considered pointto-point communication systems [4]–[6], [10]–[12], [16], [17].”
Simultaneous Information and Power Transfer for Broadband Wireless Systems (2012, background): “The corresponding capacity-and-energy tradeoffs are characterized for the multiple-input-multipleoutput (MIMO) channels with perfect transmitter channel state information (CSIT) [11], [12] and further investigated for the case of imperfect CSIT [13].”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “Finally, robust beamforming under the assumption of imperfect CSIT to maximize the worst-case harvested energy at the ER while guaranteeing a target rate at the IR has been studied in [115].”