TY  - GEN
CY  - Boston, MA, USA
T3  - USENIX Symposium on Networked Systems Design and Implementation
A1  - Husmann, C
A1  - Georgis, G
A1  - Nikitopoulos, K
A1  - Jamieson, K
ID  - discovery1543345
N2  - Large MIMO base stations remain among wireless network designers? best tools for increasing wireless throughput while serving many clients, but current system designs, sacrifice throughput with simple linear MIMO detection algorithms. Higher-performance detection techniques are known, but remain off the table because these systems parallelize their computation at the level of a whole OFDM subcarrier, sufficing only for the less demanding linear detection approaches they opt for. This paper presents FlexCore, the first computational architecture capable of parallelizing the detection of large numbers of mutually-interfering information streams at a granularity below individual OFDM subcarriers, in a nearly-embarrassingly parallel manner while utilizing any number of available processing elements. For 12 clients sending 64-QAM symbols to a 12-antenna base station, our WARP testbed evaluation shows similar network throughput to the state-of-the-art while using an order of magnitude fewer processing elements. For the same scenario, our combined WARP-GPU testbed evaluation demonstrates a 19x computational speedup, with 97% increased energy efficiency when compared with the state of the art. Finally, for the same scenario, an FPGA-based comparison between FlexCore and the state of the art shows that FlexCore can achieve up to 96% better energy efficiency, and can offer up to 32x the processing throughput.
UR  - https://www.usenix.org/conference/nsdi17/technical-sessions/presentation/husmann
PB  - USENIX
N1  - This version is the version of record. For information on re-use, please refer to the publisher?s terms and conditions.
TI  - FlexCore: Massively Parallel and Flexible Processing for Large MIMO Access Points
Y1  - 2017/03/27/
AV  - public
ER  -