• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Achievable Rate of Beamforming Dual-hop Multi-antenna Relay Network in the Presence of a Jammer


Abstract

This paper studies a multi-antenna wireless relay network in the presence of a jammer. In this network, the source node transmits signals to the destination node through a multi-antenna relay node which adopts the amplify-and-forward scheme, and the jammer attempts to inject additive signals on all antennas of the relay node. With the linear beamforming scheme at the relay node, this network can be modeled as an equivalent Gaussian arbitrarily varying channel (GAVC). Based on this observation, we deduce the mathematical closed-forms of the capacities for two special cases and the suboptimal achievable rate for the general case, respectively. To reduce complexity, we further propose an optimal structure of the beamforming matrix. In addition, we present a second order cone programming (SOCP)-based algorithm to efficiently compute the optimal beamforming matrix so as to maximize the transmission rate between the source and the destination when the perfect channel state information (CSI) is available. Our numerical simulations show significant improvements of our propose scheme over other baseline ones.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Guiguo Feng, Wangmei Guo and Jingliang Gao, "Achievable Rate of Beamforming Dual-hop Multi-antenna Relay Network in the Presence of a Jammer," KSII Transactions on Internet and Information Systems, vol. 11, no. 8, pp. 3789-3808, 2017. DOI: 10.3837/tiis.2017.08.002

[ACM Style]
Feng, G., Guo, W., and Gao, J. 2017. Achievable Rate of Beamforming Dual-hop Multi-antenna Relay Network in the Presence of a Jammer. KSII Transactions on Internet and Information Systems, 11, 8, (2017), 3789-3808. DOI: 10.3837/tiis.2017.08.002