An Analysis of Low Complexity Algorithms for MIMO Antenna Selection

Abstract

Abstract-In this paper we consider transmit and receive selection methods designed to achieve high channel capacities in a single-user MIMO link. A variety of radio channels are considered, including i.i.d. Rayleigh, correlated Rayleigh and Ricean fading environments. Also considered is the presence of imperfect channel state information (CSI) and a simplified waterfilling scheme. In all cases, we evaluate the performance of optimal selection, simple norm based selection and other benchmark selection techniques. The major contribution is a general approach to analyzing the capacity of the selection schemes via a simple power scaling factor. We are able to assess the impact of different channels, imperfect CSI and power allocation using this power scaling factor. Furthermore, the analysis is valid for all scenarios: transmit selection, receive selection and joint transmit-receive selection. Results are shown which compare the capacity performance over a wide range of cases. A notable conclusion is that optimal selection, which is computationally intensive, is outperformed at low SNR by the simple, norm based approach with power allocation.

A comparison of CP-OFDM with IOTA-OFDM under typical system imperfections

“…SYSTEM IMPERFECTIONS Here we consider that the estimated channel is correlated with the true channel via the correlation, Pe == E [ifm,n, H m, n ]. Hence, the estimated channel can be obtained by using [18] where carr(·, .) represents the correlation coefficient.…”

Capacity and Fairness of MIMO Broadcast Algorithms in Shadow Fading Environments

“…The alternative approach, denoted S1, is performance based and selects the best L antennas irrespective of the user. For simplicity, antennas are ranked on the basis of the link gain rather than capacity calculations [10]. Hence, user i ranks antenna j first if row j of H i has the largest row norm, denoted…”

“…User selection based on link gain (SLG) can be handled using the approach developed in [10]. For simplicity, we consider the case where r i = r for all users.…”

“…In [10] we have considered transmit and receive antenna selection methods for a single user system and have provided a method for analyzing the capacity of the selection schemes via a simple power scaling factor. The transmit/receive antenna selection schemes in [10] can be applied to multiple users. Finally, we consider the baseline case where the transmitter sends independent signals to each user with equal power.…”

“…To compare these methods, we adopt the analysis philosophy of [10]. Here, the idea is to derive approximately "equivalent" single-user MIMO capacities so that we can compare the schemes using simple power scaling and system size parameters.…”