STROBE: Actively securing wireless communications using Zero-Forcing Beamforming

“…The impact of inaccurate measurements is a general problem for adopting interference suppression techniques. Several implementations/testbed experiments have demonstrated the feasibility and robustness of applying interference management techniques in practical settings [20]- [22].…”

Section: Zero-forcing Precodingmentioning

confidence: 99%

Relay-Assisted Multiuser Video Streaming in Cognitive Radio Networks

Mao

2014

IEEE Trans. Circuits Syst. Video Technol.

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Due to the drastic increase in wireless video traffic, the capacity of the existing and future wireless networks will be greatly stressed, while interference will become the dominant capacity-limiting factor. In this paper, we investigate relayassisted downlink multiuser video streaming in a cognitive radio (CR) cellular network. We incorporate zero-forcing precoding to allow transmitters collaboratively send encoded (mixed) signals to all CR users, such that undesired signals will be canceled and the desired signal can be decoded at each CR user. We present a stochastic programming formulation of the problem, as well as a problem reformulation that greatly reduces computational complexity. In the cases of a single licensed channel and multiple licensed channels with channel bonding, we develop an optimal distributed algorithm with proven convergence and convergence speed. In the case of multiple channels without channel bonding, we develop a greedy algorithm with a proven performance bound. The algorithms are evaluated with simulations and are shown to achieve considerable gains over two heuristic schemes.

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“…Therefore, given α, the optimal w = P C maxŵ . b) Time Allocation: Similar to III-B2, β can be determined by substituting (17) into (12), when optimal w is selected. The optimal α can be determined by solving the following problem, when the optimal weights and β are selected.…”

Section: B) Overall Transmission Rate Of Susmentioning

confidence: 99%

“…2) Time Allocation: β can be determined by substituting (17) into (12), when the optimal w is selected. The PU selects α such that the SUs can achieve the expected transmission rate and in return the SUs make their best efforts to help the PU.…”

Section: B Cooperation Parameters Determinationmentioning

confidence: 99%

“…Traditionally, the security is dealt with by encryption at upper layers; yet, it becomes very challenging for a network without infrastructure [11]. Moreover, the encryption algorithms could be compromised and an alternative way for enhancing the security is to protect the transmitted signal from being received or decoded by the eavesdroppers [12]. Recently, physical (PHY) layer security, or information-theoretic security, has attracted a lot of attentions in the research community [13]- [15], which exploits the properties of the wireless channel to secure communications.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative Spectrum Access Towards Secure Information Transfer for CRNs

Zhang

Liu

Cheng

et al. 2013

IEEE J. Select. Areas Commun.

135

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Abstract-In cognitive radio networks (CRNs), secure information transfer is of paramount importance for primary users (PUs), while secondary users (SUs) mainly desire to ease the starvation for transmission opportunities. To meet such different requirements, cooperation between PUs and SUs can be leveraged and therefore create a win-win situation. In this paper, we investigate cooperative spectrum access for CRNs, which targets to improve the secure transmission of PUs via cooperating SUs that would be incented by certain transmission opportunities. Two types of cooperation schemes are proposed, whereby the PU either cooperates with two individual SUs or a cluster of SUs, which are referred to as relay-jammer (R-J) scheme and cluster-beamforming (C-B) scheme, respectively. In R-J scheme, two individual SUs act as a relay and a friendly jammer to improve the PU's secrecy; In return, the PU allocates a fraction of access time for the SUs' transmission. To achieve the maximum secrecy rate, joint time and power allocation is considered. Particularly, the cooperating relay and jammer determine the optimal transmission power, while the PU decides the optimal time allocation strategy. In C-B scheme, the PU cooperates with a cluster of SUs to enhance the secrecy of the primary link via collaborative beamforming, where three different approaches are proposed for the scenarios with one eavesdropper, with multiple eavesdroppers, and without eavesdroppers' information, respectively. To maximize the secrecy rate, the weight selection and time allocation are also studied. Simulation results are given to validate the proposed schemes and demonstrate that the PU can significantly enhance the secrecy through cooperation.

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STROBE: Actively securing wireless communications using Zero-Forcing Beamforming

Cited by 57 publications

References 14 publications

Security Optimization of Exposure Region-Based Beamforming With a Uniform Circular Array

Security Optimization of Exposure Region-Based Beamforming With a Uniform Circular Array

Relay-Assisted Multiuser Video Streaming in Cognitive Radio Networks

Cooperative Spectrum Access Towards Secure Information Transfer for CRNs

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