Zero Forcing Detection for Short Packet Transmission Under Channel Estimation Errors

Abstract

A multiuser multiple-input multiple-output wireless communication system is analytically studied under the shortpacket transmission regime. The practical scenario of channel estimation errors is adopted when the signals undergo Rayleigh channel fading conditions. Unlike most previous works, the channel estimation error term is treated as a signal rather than interference or noise, which may further enhance the overall system performance. The spatial multiplexing mode of transmit operation is considered, while the zero-forcing detection is applied at the receiver. New and exact closed-form expressions for the outage probability and total system goodput are derived. Capitalizing on the analytical results, some new engineering insights are also presented; such as the impact of channel estimation errors with respect to the number of antennas, transmit power, and/or coding rate.

Contribution of Deep Learning Algorithm to Improve Channel Estimation Performance

“…The ZF channel estimation technique is a technique whose role is to estimate the frequency response of the channel [9]. Each coefficient estimated in the domain frequency then represents the frequency response of the channel on a subcarrier given.…”

Short-Packet Amplify-and-Forward Relaying for the Internet-of-Things in the Face of Imperfect Channel Estimation and Hardware Impairments

“…However, in practical systems, this is an over-optimistic assumption. Explicitly, due to realistic factors such as the feedback delay, limited training power and duration, limited feedback rate [20], unexpected user mobility, channel fading variations [21] tend to impair the channel estimation process. Very recently, some authors have studied the impact of CEEs in short-packet scenarios [21]- [24].…”

“…Explicitly, due to realistic factors such as the feedback delay, limited training power and duration, limited feedback rate [20], unexpected user mobility, channel fading variations [21] tend to impair the channel estimation process. Very recently, some authors have studied the impact of CEEs in short-packet scenarios [21]- [24]. In [21], the outage probability of a multi-user MIMO (MU-MIMO) aided SPC system considering CEE is studied.…”

“…Very recently, some authors have studied the impact of CEEs in short-packet scenarios [21]- [24]. In [21], the outage probability of a multi-user MIMO (MU-MIMO) aided SPC system considering CEE is studied. The CEEs in [21] are treated as signals rather than interference and noise.…”

“…In [21], the outage probability of a multi-user MIMO (MU-MIMO) aided SPC system considering CEE is studied. The CEEs in [21] are treated as signals rather than interference and noise. The authors of [22] have characterized the trade-off between the training sequence length and information codeword length.…”