Abstract:Abstract-Throughput and packet error rate are analysed in a home environment for two different 3x3 wireless LAN solutions. A 3x3 EBF approach (using three radio chains) is compared with a reduced cost 2x2 architecture (using two radio chains). In the 2x2 solution the optimum antenna pair is selected from the same set of three antennas at the AP and client. The impact of directional, as well as omni-directional, antenna elements is considered. The spatial and temporal characteristics of the inhome channels are … Show more
“…eigen-beamforming or spatial-multiplexing) will be taken into account. This is part of our future work and some initial results can be found in [5] [6].…”
Section: Antenna Radiation Patternsmentioning
confidence: 95%
“…The antennas used at the access point (AP) and client influence the perceived channel quality and must be carefully considered. Previous measurements [4] and simulations [5] [6] have shown that different antenna configurations and orientations have a significant impact on performance.…”
-The antenna performance of three 2x2 802.11n wireless routers is assessed at 2.4GHz using a laptop as a reference client. The analysis combines in-situ measured 3D radiation patterns with state-of-the-art 3D ray-tracing for a number of different client locations and access-point/client orientations in a typical three-floor home. A router employing two PIFAs achieves the highest average signal level on the top floors (3-10dB better); a router with two external dipoles on the same floor level (1-5dB better); and a router with two patches is in-between and results in the largest signal variations (5-15dB larger dynamic range).
“…eigen-beamforming or spatial-multiplexing) will be taken into account. This is part of our future work and some initial results can be found in [5] [6].…”
Section: Antenna Radiation Patternsmentioning
confidence: 95%
“…The antennas used at the access point (AP) and client influence the perceived channel quality and must be carefully considered. Previous measurements [4] and simulations [5] [6] have shown that different antenna configurations and orientations have a significant impact on performance.…”
-The antenna performance of three 2x2 802.11n wireless routers is assessed at 2.4GHz using a laptop as a reference client. The analysis combines in-situ measured 3D radiation patterns with state-of-the-art 3D ray-tracing for a number of different client locations and access-point/client orientations in a typical three-floor home. A router employing two PIFAs achieves the highest average signal level on the top floors (3-10dB better); a router with two external dipoles on the same floor level (1-5dB better); and a router with two patches is in-between and results in the largest signal variations (5-15dB larger dynamic range).
“…This technique was fully described in [15] and subsequently used in a number of our Wireless LAN and cellular network studies, for instance [21] and [22]. Without sacrificing accuracy, abstraction is many hundreds of times faster than full bit-level simulation.…”
“…To perform system level analysis in a computationally efficient and scalable manner, a physical layer abstraction technique RBIR was used to predict the packet error rate (PER) for a given channel realisation across the allocated OFDM subcarriers. This technique was fully described in [13] and subsequently used in a number of our Wireless LAN and cellular network studies [17,18]. Without sacrificing accuracy, abstraction is many hundreds of times faster than full bit-level simulation.…”
Section: Network Simulator and Parametersmentioning
This paper evaluates the theoretic performance of single-user multi-stream beamforming for heterogeneous LTE-A urban deployments (i.e. Macro and Pico cells). The work investigates the impact of six different Base Station (BS) antenna configurations on system level capacity. Our standard configuration assume 8 BS and 8 User Equipment (UE) antenna elements. To enhance capacity the BS antenna number was increased to 12 and 16. A 3D laser-scanned database for the city of Bristol (UK) was used as input to the 3D channel propagation model along with measured 3D complex voltage and polarimetric antenna patterns for the individual BS and UE antenna elements. More than 50,000 ray-traced Pico and Macro cellular links per BS configuration were investigated to ensure statistical relevance. Our analysis quantifies the capacity of an 8x8 Single-User Multiple-Input-Multiple-Output (SU-MIMO) solution in realistic urban heterogeneous environments. Results address the system level benefits of increasing the number of BS antenna elements as well as the sensitivity of capacity to vertical and horizontal spatial element configurations.
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