Field trials of the fifth-generation (5G) mobile communication system using 28GHz band at which almost 1GHz bandwidth will be available have been performed all over the world. To realize large coverage with such a high frequency band, beamforming by Massive MIMO (Multiple Input Multiple Output) is necessary to compensate the large path loss. Furthermore, beam tracking which adaptively changes beam direction according to user location, is an important function to support user mobility. In previous works, field trials in subway environment at 25GHz band was carried out, but only fixed beam were employed. On the other hand, the field trials result of 28 GHz-band 5G transmission employing beam tracking in the road environment has been reported. Therefore, we conducted 5G field trials in the actual railway environment using 28GHz band experimental equipment employing beam tracking. This paper reveals the downlink performance achieved by using railway cars traveling at 90km/h. In addition, we show how mobile stations position in the railway car affects the performance of 5G transmission.

Cognitive orthogonal frequency-division multiplexing (OFDM) systems are spectrum-efficient yet vulnerable to intercarrier interference (ICI), especially in high-mobility scenarios. In this paper, the energy efficiency optimization problem in high-mobility cognitive OFDM system is considered. The aim is to maximize the energy efficiency by adapting subcarrier bandwidth, power allocation and sensing duration in the presence of ICI, under the constraints of the total power budget of secondary networks, the probabilistic interference limits for the protection of primary networks, and the subcarrier spacing restriction for high-mobility OFDM systems. In order to tackle the intractable non-convex optimization problem induced by ICI, an ICI-aware power allocation algorithm is proposed, by referring to noncooperative game theory. Moreover, a near-optimal subcarrier bandwidth search algorithm based on golden section methods is also presented to maximize the system energy efficiency. Simulation results show that the proposed algorithms can achieve a considerable energy efficiency improvement by up to 133% compared to the traditional static subcarrier bandwidth and power allocation schemes.

This article proposes a channel estimation method for the downlink channels of a WCDMA system in a high-speed railroad setting. High mobility may cause conventional symbol-level channel estimation to yield severe errors because in conventional methods channel state has to maintain constant within one to several symbol durations. However, in high mobility environment, this assumption may not hold. Errors are particularly more dangerous when using very high spreading factors. In order to counteract the adverse effect of high mobility on channel estimation, we shorten the observation window to that of an N-chip block so that channel conditions or characteristics remain approximately unchanged. We consider channel estimation prior to dispreading the received signal. In other words, channel estimation is done at the chip level rather than the conventional symbol level. The least squares (LS) criterion is employed to acquire channel characteristics for each block of N pilot chips, and the linear interpolation method is used to determine the channel characteristics for each data chip. The LS-based estimator is selected due to its simplicity since it does not need to know channel or noise statistics. An LS-based estimator at the chip level has the further advantage that it is robust against interpath interference (IPI). The uncoded bit error rate (BER) performance of a RAKE receiver using different channel estimation schemes is evaluated and compared through simulations. The proposed scheme is found to be suitable for a high-speed railroad setting.

This paper proposes a symbol-by-symbol-based multilevel transmit power control (MTPC) scheme for orthogonal frequency division multiplexing (OFDM) based adaptive modulation system (AMS) to achieve high quality broadband wireless transmission for high mobility terminals. In the proposed system, delay profile for each OFDM symbol is estimated by linearly extrapolating previously received delay profile information (DPI) sequence to improve tracking ability of OFDM based AMS with MTPC to the fast fading variation. Moreover, 2-branch reception diversity is applied to reduce dynamic range and variation speed of the multipath fading. Computer simulation confirms that the proposed system is effective in supporting higher mobility terminals with keeping high transmission quality.