2011/03/21 by Kashif Mahmood, Mahmood, Kashif, Mikko Vehkaperä +3 · 6 citations
Computer Science · Engineering · #3G MIMO #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Channel (broadcasting) #Channel state information #Computer network #Computer science #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Fading #MIMO #Markov chain #Multi-user MIMO #Networking and Internet Architecture (cs.NI) #Spatial correlation #Telecommunications #Throughput #Transmitter #Wireless #Wireless network #cs.NI
paper · pdf · doi:10.48550/arxiv.1103.4016
published in arXiv (Cornell University) (Cornell University) · Submitted to ICCCN 2011, 8 pages, 5 figures
arxiv created 2011/03/21 · openalex publication_date 2011/03/21 · arxiv updated 2011/03/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The maximum traffic arrival rate at the network for a given delay guarantee (delay constrained throughput) has been well studied for wired channels. However, few results are available for wireless channels, especially when multiple antennas are employed at the transmitter and receiver. In this work, we analyze the network delay constrained throughput of a multiple input multiple output (MIMO) wireless channel with time-varying spatial correlation. The MIMO channel is modeled via its virtual representation, where the individual spatial paths between the antenna pairs are Gilbert-Elliot channels. The whole system is then described by a K-State Markov chain, where K depends upon the degree of freedom (DOF) of the channel. We prove that the DOF based modeling is indeed accurate. Furthermore, we study the impact of the delay requirements at the network layer, violation probability and the number of antennas on the throughput under different fading speeds and signal strength.