The SIMO Block Rayleigh Fading Channel Capacity Scaling with Number of Antennas, Bandwidth and Coherence Length
Felipe Gomez-Cuba

TL;DR
This paper analyzes how the capacity of non-coherent SIMO Rayleigh fading channels scales with bandwidth, antennas, and coherence length, revealing the importance of coherence length in modulation choice and capacity limits.
Contribution
It provides a detailed capacity scaling analysis for non-coherent SIMO Rayleigh channels, highlighting the role of coherence length and comparing Pilot-Assisted and Energy Modulation strategies.
Findings
Capacity scales as min(B, sqrt(NL), N) in non-coherent channels.
Energy Modulation scales as min(B, sqrt(N)), but does not match capacity scaling with L.
Coherent capacity scales as min(B, N), achievable in non-coherent channels when L ≥ Θ(N).
Abstract
This paper studies the capacity scaling of non-coherent Single-Input Multiple-Output (SIMO) independent and identically distributed (i.i.d.) Rayleigh block fading channels versus bandwidth (), number of receive antennas () and coherence block length (). In non-coherent channels (without Channel State Information --CSI) capacity scales as . This is achievable using Pilot-Assisted signaling. Energy Modulation signaling rate scales as . If is fixed while and grow, the two expressions grow equally and Energy Modulation achieves the capacity scaling. However, Energy Modulation rate does not scale as the capacity with the variable . The coherent channel capacity with a priori CSI, in turn, scales as . The coherent channel capacity scaling can be fully achieved in…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Energy Harvesting in Wireless Networks · Advanced Wireless Communication Technologies
