ZTE Communications ›› 2011, Vol. 9 ›› Issue (4): 43-48.

• Special Topic • Previous Articles     Next Articles

Enhanced Cell-Edge Performance with Transmit Power-Shaping and Multipoint, Multiflow Techniques

Philip Pietraski, Gregg Charlton, Rui Yang and Carl Wang   

  1. InterDigital Communications, LLC., King Of Prussia,PA19406, U. S. A.
  • Online:2011-12-25 Published:2011-12-25
  • About author:Phil Pietraski (philip.pietraski@interdigital.com) received his BSEET degree from De Vry University in 1987. He received his BSEE, MSEE, and Ph.D. degrees from Polytechnic University, Brooklyn, NY in 1994, 1995, and 2000. He also has a graduate certificate in wireless communications from Polytechnic University and studied accelerator physics at the U.S. Particle Accelerator School (hosted by universities including Harvard and Duke). He joined InterDigital Communications in 2001 and is currently a principal engineer who leads research in wireless communications. He holds more than 30 patents in the field. Prior to his transition to communications in 2000, he was a research engineer at Brookhaven National Laboratory, National Synchrotron Light Source, responsible for developing spectroscopic and imaging, solid-state and gaseous, X-ray detectors. He has also conducted research at the Polytechnic University for the Office of Naval Research (ONR) in underwater source localization using passive SONAR.

    Gregg Charlton obtained his BSEE from Carnegie-Mellon University in 1982 and his MSEE in EE systems from the University of Michigan, Ann Arbor in 1986. While at Michigan, he received a research fellowship and worked as a research assistant in the EECS department. Mr. Charlton has been with InterDigital since 2000 and is currently a member of technical staff in the advanced air interfaces organization. Prior to working at InterDigital, he worked for Lockheed Martin Global Telecommunications, General Electric Aerospace, AT&T Bell Laboratories, and TRW. His research interests include analysis of mobile network deployments, wireless communication theory, and satellite communications.

    Rui Yang received his M.S. and Ph.D. degrees in electrical engineering from the University of Maryland in 1987 and 1992. He joined InterDigital Communications in 2000 and has 11 years experience researching and developing wireless communication systems. His interests include digital signal processing and physical layer design for wireless devices. He has more than 10 patents has publiushed several papers. He is currently an engineering manager at InterDigital Communications.

    Carl Wang obtained his BSEE from Polytechnic University, Brooklyn, NY, in 1994. He received his MSE in computer engineering from the Carnegie-Mellon University in 2006. Mr. Wang has been with InterDigital since 1996 and is currently a member of technical staff in the advanced air interfaces organization. Prior to working at InterDigital, he worked for Raytheon Company in digital signal data processing. His research interests include analysis of mobile network deployments, wireless communication theory, and communication protocol and architecture.

Abstract: In this paper, we present a technique called“fuzzy cells”that builds on the multicarrier features of Long Term Evolution-Advanced (LTE-A) and high-speed packet access (HSPA). Multiple carriers are aggregated to create a larger system bandwidth, and these carriers are transmitted at different powers by each sector antenna. This creates a set of cell-edge locations that differ from one frequency to the next. System-level simulations are performed to estimate individual user and average throughput for a hexagonal deployment of 3-sector base stations. For moderately high loads, a fuzzy cell deployment can improve tenth percentile (cell-edge) user throughput by 100% and can improve average throughput by about 30% compared with a reuse 1 scheme. Fuzzy cells reduce inter-cell interference in the same way as higher-order reuse schemes and allow users to access the full system bandwidth.

Key words: LTE, fractional frequency reuse, multicarrier, flow aggregation, system simulation