Effects of Channel Prediction for Transmit Antenna Selection With Maximal-Ratio Combining in Rayleigh Fading

Abstract

Abstract-Antenna selection is a low-complexity method for pragmatically exploiting spatial diversity in wireless systems. It has potentially reduced hardware cost compared to space-time or MIMO (multiple-input and multiple-output) coding, due to the reduction in the amount of radio frequency (RF) hardware required. Whilst receive antenna selection is perhaps more common, transmit antenna selection also offers several advantages, particularly for hardware-costly transmit schemes such as those requiring linearisation. In use, transmit antenna selection (TAS) requires at least partial channel knowledge at the transmitter in order to perform selection. This knowledge usually comes in the form of an index to the best set of antenna/antennas fed back from the receiver; which implies a delay between the channel being sampled (at the receiver) and this knowledge being acted upon (at the transmitter). In this paper, performance degradation due to outdated channel knowledge is determined analytically, and related to channel characteristics. A predictive scheme is then developed to mitigate against delay-induced degradation. Several factors relating to TAS system performance under different channel scenarios both with and without mitigation are explored. Closed form expressions for performance metrics such as bit error rate (BER), outage probability, average signal-to-noise ratio (SNR) gain and higher order moments of output SNR are derived and verified by simulations. The impact of prediction is analyzed for different TAS setups and channel prediction scenarios, as are various system design parameters.

Performance of Transmit Antenna Selection Physical Layer Security Schemes

“…However, the gains obtained through MIMO do not come for free. The front-end architecture is highly complex and the hardware of the radio frequency (RF) section is expensive, while complexity and cost increase with the number of antennas [9]- [11]. Alternatively, transmit antenna selection (TAS) [10] uses a single RF chain instead of several parallel RF sections, reducing cost, complexity, power consumption and size at the expense of a generally acceptable loss in performance [9]- [11].…”

On Secure Underlay MIMO Cognitive Radio Networks With Energy Harvesting and Transmit Antenna Selection

“…TAS is a very flexible approach method to make full use of the advantages of MIMO system [31], [32], [33], [34]. Zhu J. et al proposed optimal antenna selection (OAS) and suboptimal antenna selection (SAS) schemes depending on whether the channel state information (CSI) of the wiretap channels is available at the source or not in [35].…”

“…Similar to (25), we can express the SOP of the SAS scheme by (32), as shown on the top of next page.…”

On Secrecy Performance of MISO SWIPT Systems With TAS and Imperfect CSI

“…As suggested by [46], the terminal can perfectly distinguish the multiple copies of the pilot signals from each transmit antenna using a time division multiple access based TAS implementation scheme. Also, TAS has the advantage of using one antenna equipped with one RF chain compared to other techniques that require multiple RF chains corresponding to the number of antennas.…”