Affiliation:
1. MIT, Cambridge, MA, USA
Abstract
The throughput of existing MIMO LANs is limited by the number of antennas on the AP. This paper shows how to overcome this limit. It presents interference alignment and cancellation (IAC), a new approach for decoding concurrent sender-receiver pairs in MIMO networks. IAC synthesizes two signal processing techniques, interference alignment and interference cancellation, showing that the combination applies to scenarios where neither interference alignment nor cancellation applies alone. We show analytically that IAC almost doubles the throughput of MIMO LANs. We also implement IAC in GNU-Radio, and experimentally demonstrate that for 2x2 MIMO LANs, IAC increases the average throughput by 1.5x on the downlink and 2x on the uplink.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Software
Reference32 articles.
1. Antenna selection and RF processing for MIMO systems. IEEE 802.11-04/0713r0 2004. Antenna selection and RF processing for MIMO systems. IEEE 802.11-04/0713r0 2004.
2. System Description and Operating Principles for High Throughput Enhancements to 802.11. IEEE 802.11-04/0870r 2004. System Description and Operating Principles for High Throughput Enhancements to 802.11. IEEE 802.11-04/0870r 2004.
3. Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis
4. Modulation, coding and signal processing for wireless communications - Interference cancellation for cellular systems: a contemporary overview
Cited by
81 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献