Multi-Dimensional Resource Management in 5G Networks

  • Decarreau G.
  • Ewe L.
  • Liao Q.
  • Mwanje S.
  • Naseer-Ul-Islam M.
  • Sanneck H.

Increased demand for mobile broadband services is driving densification of mobile networks through 4G small cells while spectrum scarcity demands deployment in newer bands including shared unlicensed spectrum. Concurrently, new requirements from vertical industries drive the development of 5G, envisioned not only as a new Radio Access Technology (RAT) but a seam-less interwoven network of multi-dimensional resources, i.e., multiple RATs deployed in multiple cell layers each with multiple beams in one or more frequency bands. The multi-dimensionality presents multiple degrees of freedom (in the RATs, layers, spectra and beam dimensions) to be leveraged for optimal network performance and user experience. This paper discusses the resource management challenges and opportunities that accrue from the higher degrees of freedom. It evaluates three challenges from both radio and network resource management perspectives, and for each, discusses candidate solution ideas that could be exploited.

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 ...