The Power of Short-Term Prediction in Wireless Systems - A b/s/Hz Perspective

  • Sayeed Z.

In this short paper we demonstrate the bits/sec/Hz spectral efficiency (SE) of a predictive Signal to Interference and Noise Ratio SINR system in the context of LTE. However, the analysis holds for any wireless communication system. We show that, by feeding the predicted SINR into the Modulation- Coding-Scheme (MCS) decision block, in place of the received SINR at the eNodeB, the capacity of an LTE system can be improved by as much as 100% for low CQI (Channel Quality Indicator) reporting delay(10 m-sec) and as much as 10% for higher CQI reporting delays of up to 100 m-secs. . We demonstrate this from fundamental Shannon capacity theory.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...