An Enhanced Coherent Joint Transmission Algorithm for Multi-Cell Downlink Transmission

  • Sun H.

Coherent joint transmission (CJT) algorithm has been extensively investigated in multi-cell cooperative downlink transmission due to its huge potential performance gains. Comparing with the existing CJT algorithm based on the multi-user eign-mode transmission, an enhanced CJT (eCJT) algorithm is proposed in this paper to further enhance the performance of cellular network in terms of spectral efficiency, especially for the cell edge users. Theoretical analysis show that utilizing successive transmit channel optimization and selection, eCJT outperforms traditional CJT in multi-cell coordinated joint transmission. System level simulation results demonstrate that eCJT algorithm outperforms traditional CJT algorithm in both cell average performance and cell edge performance. Taking the performance of traditional CJT algorithm as the baseline, eCJT algorithm can achieve over 30% spectral efficiency gain in cell edge under ITU-UMi and 3GPP Case1-3D scenario, respectively.

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 ...