Jamming energy allocation in training-based multiple access systems
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Pezeshki, Hamed
Maham, Behrouz
Zhou, Xiangyun
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Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We consider the problem of jamming attack in a multiple access channel with training-based transmission. First, we derive upper and lower bounds on the maximum achievable ergodic sum-rate which explicitly shows the impact of jamming during both the training phase and the data transmission phase. Then, from the jammer's design perspective, we analytically find the optimal jamming energy allocation between the two phases that minimizes the derived bounds on the ergodic sum-rate. Numerical results demonstrate that the obtained optimal jamming design reduces the ergodic sum-rate of the legitimate users considerably in comparison to fixed power jamming.
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Keywords
Jamming, training-based transmission, optimum energy allocation, multiple access channel
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IEEE Communications Letters 17.6 (2013): 1140 - 1143
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Journal article
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Open Access
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Restricted until
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