Effect of Pedestrian Movement on MIMO-OFDM Channel Capacity in an Indoor Environment

Abstract

Effects of pedestrian movement on multipleinput-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) channel capacity have been investigated using experiment and simulation. The experiment was conducted at 5.2 GHz by a MIMO-OFDM packet transmission demonstrator using four transmitters and four receivers built in-house. Geometric optics-based ray-tracing technique was used to simulate the experimental scenarios. Changes in the channel capacity dynamic range have been analyzed for different numbers of pedestrian (0-3) and antennas (2-4). Measurement and simulation results show that the dynamic range increases with the number of pedestrians and the number of antennas on the transmitter and receiver array.Index Terms-multiple-input-multiple-output (MIMO) systems, propagation measurements, temporal variation.

Performance Analysis of Cooperative Virtual MIMO Systems for Wireless Sensor Networks

“…The spectral efficiency (SE) of a MIMO system without the knowledge of the channel at the transmitter can be calculated as [33]: $S_E=\sum _{j=1}^{N_t}{italiclog}_2\left(1+\frac{E_{b}R{\gamma }_j}{N_{o}B{N}_t}\right)$where γ j is the eigen value of $H_n{H}_n^H$, $H_n=\frac{\sqrt{N_r}}{{\Vert H\Vert }_{\text{italicForbenius}}}H$ is the normalized channel matrix [34], and (.) H denotes Hermitian transpose.…”

A Systematic Study of MIMO-OFDM Broadband Channels in Populated Indoor Environment

“…This corresponds to the system where co-channel interference is the limiting factor for the system capacity, and enough Tx power is reserved to cater every location within the coverage area. Several research papers [12][13][14][15][16] have been presented based on the finding of the project. In addition, with the presented outcome, one of the main ideas of this paper is to combine the investigations and present a systematic study of the MIMO-OFDM channel study for populated indoor environment.…”

Spatial and Temporal Variation of Wideband Indoor Channels

“…Rayleigh and Rice distributions are special cases of the Nakagami distribution when the Nakagami parameter (m) is 1 and greater than 1, respectively. The Rayleigh and Rice probability density functions are given by (4) and (5), respectively. This dependency on the value of m means that the Nakagami distribution is likely to be seen as a much more general model for environments where there are large spatial changes in the amount of scattering from one position to another.…”

“…Research such as that performed by Chen and Dubey [3] have incorporated temporary aspects into their models, but this is usually limited to transceiver movement rather than the movement of people in the channel. More recently Gupta et al [4] have investigated the effect of people movement on the channel response. They found that the presence of people in the propagation channel can increase channel capacity as well as reduce it.…”