Norm-based joint transmit/receive antenna selection aided and two-tier channel estimation assisted STSK systems

Abstract

Abstract-We propose a simple yet effective norm-based joint transmit and receive antenna selection (NBJTRAS) assisted and two-tier channel estimation (TTCE) aided space-time shift keying (STSK) system, which is capable of significantly outperforming the conventional STSK system, while efficiently utilising available radio frequency (RF) chains. Specifically, the NBJTRAS carries out antenna selection based on the channel estimation (CE) generated using a low-complexity training based least square channel estimator by reusing RF chains. The selected sub-channel matrix is further refined by an efficient semi-blind CE and data detection scheme. Our simulation results show that only a few iterations are sufficient for the TTCE scheme to approach the optimal maximum-likelihood detection performance associated with perfectly channel state information.

Ergodic capacity of antenna selection aided massive multi‐user MIMO systems with imperfect CSI in correlated time‐varying channels

“…As a matter of fact, the antenna selection (AS) approach can be tailored to alleviate the requirements of RF chains in massive MU-MIMO systems. AS aims to select the optimal or near-optimal channel subset associated with better channel condition from the whole channel set, and thus to provide a low-complexity strategy to reduce the number of RF chains utilised in the transmitter and/or receiver, while remaining the performance gain of massive MIMO systems [1]. Generally, the AS criteria can be divided into two categories: norm-based AS (NBAS) and capacity-based AS (CBAS) [1,2].…”

“…AS aims to select the optimal or near-optimal channel subset associated with better channel condition from the whole channel set, and thus to provide a low-complexity strategy to reduce the number of RF chains utilised in the transmitter and/or receiver, while remaining the performance gain of massive MIMO systems [1]. Generally, the AS criteria can be divided into two categories: norm-based AS (NBAS) and capacity-based AS (CBAS) [1,2]. The NBAS schemes are addressed in [1][2][3][4], which aim at selecting antenna subset that are capable of maximising the equivalent signal-to-noise ratio (SNR) of the systems with relatively low computational complexity.…”

“…Generally, the AS criteria can be divided into two categories: norm-based AS (NBAS) and capacity-based AS (CBAS) [1,2]. The NBAS schemes are addressed in [1][2][3][4], which aim at selecting antenna subset that are capable of maximising the equivalent signal-to-noise ratio (SNR) of the systems with relatively low computational complexity. The CBAS schemes are explored in [5,6], of which the main idea is to select antennas which can maximise channel capacity in MIMO systems [6], where in the direct way is to search all possible combinations to find antenna subset yielding maximum channel capacity.…”

“…Generally, the performance of AS schemes highly relies on the accuracy of MIMO channel state information (CSI) [7]. As a simple yet efficient class of channel estimation (CE) algorithms, the pilot-assisted channel estimators [8], such as least-square [9] and minimum mean-square-error (MMSE) estimators [1], are widely employed in AS-aided MIMO systems. Likewise, CE is always followed by channel quantisation (CQ), where the receiver may quantise the estimated CSI, using the predefined code book (CB) [10], such as minimum distance criterion [11,12].…”

Design of Reconfigurable SDR Platform for Antenna Selection Aided MIMO Communication System

“…Reference [10] proposed a joint RxAS and power allocation scheme for 5G massive MIMO uplink communication, which is capable of promoting energy conservation then improving the good quality of service (QoS). Furthermore, [2], [11] proposed a two-tier channel estimation (TTCE) aided NBAS by jointly selecting Tx and Rx antennas, which showed that by employing joint Tx and Rx AS, the system's performance may be improved, while retaining low hardware costs and computational complexity. Additionally, [12] compared the performance of joint Tx and Rx AS with TxAS and RxAS, which concluded that the diversity order of JTRAS was significantly reduced in the presence of feedback errors.…”