New Math Model Helps Wireless Networks Handle Real-World Signal Interference
Researchers have solved a longstanding technical problem in wireless communication by developing formulas that accurately predict how networks perform under realistic signal conditions. The breakthrough could help telecom companies and device makers design faster, more reliable networks for latency-sensitive applications like autonomous vehicles and remote surgery.
Originaltitel: Effective Rate Analysis of MISO Rician Fading Channels
<p>The delay constraints imposed by future wirelessapplications require a suitable metric for assessing their impacton the overall system performance. Since the classical Shannon’s ergodic capacity fails to do so, the so-called effective rate was recently established as a rigorous alternative. Yet, most priorrelevant works have considered only the typical case of Rayleighfading which allows for tractable manipulations. In this paper,we relax this assumption by considering the more general Rician fading model for multiple-input single-output (MISO) systems. Anew, analytical expression for the exact effective rate is derived, along with tractable expressions for the key parameters dictating the effective rate performance in the high and low signal-to-noise(SNR) regimes.</p>