Resource Allocation for Joint Transmitter and Receiver Energy Efficiency Maximization in Downlink OFDMA Systems

Wu, Qingqing; Chen, Wen; Tao, Meixia; Li, Jun; Tang, Hongying; Wu, Jinsong

doi:10.1109/tcomm.2014.2385705

Cited by 101 publications

(46 citation statements)

References 39 publications

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“…As p IT has not been obtained at this stage, in order to find p J , we adopt an equal power allocation over the sub-carriers when jamming is necessary. Considering the sub-carrier n, we consider jamming is necessary at that sub-carrier if increasing p J,n at that sub-carrier will increase the objective function in (38). Then, the jamming power is equally allocated over such necessary sub-carriers.…”

Section: Heuristic Successive Optimizationmentioning

confidence: 99%

“…Lemma 1. If |g E,n | 2 /σ 2 E > |g D,n | 2 /σ 2 D for sub-carrier n, then jamming is necessary at that sub-carrier, i.e., increasing the jamming power at sub-carrier n can increase the secrecy rate in the objective function of (38).…”

Section: Heuristic Successive Optimizationmentioning

confidence: 99%

“…Note that (73) only increases with p J,n when σ 2 E /|g E,n | 2 − σ 2 D /|g D,n | 2 < 0. Hence, increasing p J,n can increase the objective function of (38) when |g E,n | 2 /σ 2 E > |g D,n | 2 /σ 2 D .…”

Section: Appendix B Proof Of Lemmamentioning

confidence: 99%

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Wireless Powered Cooperative Jamming for Secure OFDM System

Zhang¹,

Xu²,

Wu³

et al. 2018

IEEE Trans. Veh. Technol.

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This paper studies the secrecy communication in an orthogonal frequency division multiplexing (OFDM) system, where a source sends confidential information to a destination in the presence of a potential eavesdropper. We employ wireless powered cooperative jamming to improve the secrecy rate of this system with the assistance of a cooperative jammer, which works in the harvest-then-jam protocol over two time-slots. In the first slot, the source sends dedicated energy signals to power the jammer; in the second slot, the jammer uses the harvested energy to jam the eavesdropper, in order to protect the simultaneous secrecy communication from the source to the destination. In particular, we consider two types of receivers at the destination, namely Type-I and Type-II receivers, which do not have and have the capability of canceling the (a-priori known) jamming signals, respectively. For both types of receivers, we maximize the secrecy rate at the destination by jointly optimizing the transmit power allocation at the source and the jammer over sub-carriers, as well as the time allocation between the two time-slots. First, we present the globally optimal solution to this problem via the Lagrange dual method, which, however, is of high implementation complexity. Next, to balance tradeoff between the algorithm complexity and performance, we propose alternative low-complexity solutions based on minorization maximization and heuristic successive optimization, respectively. Simulation results show that the proposed approaches significantly improve the secrecy rate, as compared to benchmark schemes without joint power and time allocation.Comment: This paper is submitted for possible journal publicatio

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Section: Heuristic Successive Optimizationmentioning

confidence: 99%

Section: Heuristic Successive Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

Wireless Powered Cooperative Jamming for Secure OFDM System

Zhang¹,

Xu²,

Wu³

et al. 2018

IEEE Trans. Veh. Technol.

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“…High speed trains (HST) have been developing rapidly around the world and attract lots of attention [1]- [3]. Orthogonal frequency-division multiplexing (OFDM) [4], [5] and multi-cell architecture, e.g., the microcellular system [2] and the distributed antenna system (DAS) [3], are widely adopted in HST wireless communication systems for providing high data rate. However, in high mobility OFDM systems, the spreading in time and frequency will destroy the orthogonality among subcarriers and introduces inter-carrier interference (ICI).…”

Section: Introductionmentioning

confidence: 99%

Position-Based Interference Elimination for High-Mobility OFDM Channel Estimation in Multicell Systems

Ren

Chen

Gong

et al. 2017

IEEE Trans. Veh. Technol.

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Orthogonal frequency-division multiplexing (OFDM) and multi-cell architecture are widely adopted in current high speed train (HST) systems for providing high data rate wireless communications. In this paper, a typical multiantenna OFDM HST communication system with multi-cell architecture is considered, where the inter-carrier interference (ICI) caused by high mobility and multi-cell interference (MCI) are both taken into consideration. By exploiting the train position information, a new position-based interference elimination method is proposed to eliminate both the MCI and ICI for a general basis expansion model (BEM). We show that the MCI and ICI can be completely eliminated by the proposed method to get the ICI-free pilots at each receive antenna. In addition, for the considered multi-cell HST system, we develop a low-complexity compressed channel estimation method and consider the optimal pilot pattern design. Both the proposed interference elimination method and the optimal pilot pattern are robust to the train speed and position, as well as the multi-cell multi-antenna system. Simulation results demonstrate the benefits and robustness of the proposed method in the multi-cell HST system.Index Terms-High speed train (HST), compressed sensing (CS), orthogonal frequency-division multiplexing (OFDM), multicell interference (MCI), inter-carrier interference (ICI).

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“…Network resource optimization in CRANs can be divided into two main categories namely the energy consumption reduction under quality of service constraints, e.g., [2], [3] and the throughput maximizatin under power budget constraints. The coordinated scheduling and power control problem in this paper focuses on finding the optimal assignment of users to the RRBs of the BSs and the power level of each RRB by maximizing the network-wide weighted sum rate, under the constraints that each device cannot be served by more than one BS but can be served by multiple RRBs within each BS frame.…”

Section: Introductionmentioning

confidence: 99%