2010/04/11 by Pengkai Zhao, Zhao, Pengkai, Babak Daneshrad +1 · 1 citation
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Algorithm #Channel (broadcasting) #Computer network #Computer science #Cooperative Communication and Network Coding #Electronic engineering #Engineering #FOS: Computer and information sciences #MIMO #MIMO-OFDM #Networking and Internet Architecture (cs.NI) #Offset (computer science) #Orthogonal frequency-division multiplexing #Residual #Telecommunications #Throughput #Transceiver #Wireless #Wireless ad hoc network #cs.NI
paper · pdf · doi:10.48550/arxiv.1004.1842
published in arXiv (Cornell University) (Cornell University)
arxiv created 2010/04/11 · arxiv updated 2010/04/13
Transceiver impairments, including phase noise, residual frequency offset, and imperfect channel estimation, significantly affect the performance of Multiple-Input Multiple-Output (MIMO) system. However, these impairments are not well addressed when analyzing the throughput performance of MIMO Ad Hoc networks. In this paper, we present an analytical framework to evaluate the throughput of MIMO OFDM system under the impairments of phase noise, residual frequency offset, and imperfect channel estimation. Using this framework, we evaluate the Maximum Sum Throughput (MST) in Ad Hoc networks by optimizing the power and modulation schemes of each user. Simulations are conducted to demonstrate not only the improvement in the MST from using multiple antennas, but also the loss in the MST due to the transceiver impairments. The proposed analytical framework is further applied for the distributed implementation of MST in Ad Hoc networks, where the loss caused by impairments is also evaluated.