Design and performance analysis of collaborative spatial multiplexing for IEEE 802.16e-based systems

  • Authors:

  • Krishna Balachandran;Doru Calin;Nandu Gopalakrishnan;Joseph H. Kang;Achilles Kogiantis;Shupeng Li;Lawrence Ozarow;Sudhir Ramakrishna;Ashok N. Rudrapatna;Russell Sun

  • Affiliations:

  • Wireless Technologies and Systems Research Group, End-to-End Wireless Networking Research Department, Bell Labs Networking and Networks research domain, Murray Hill, New Jersey;High Performance Wireless Technologies and Networks Group, Network Performance and Reliability Department, Alcatel-Lucent's Chief Technology Office, Murray Hill, New Jersey;Alcatel-Lucent's Forward Looking Department, Whippany, New Jersey;Wireless Technologies and Systems Research Group, Bell Labs, Murray Hill, New Jersey;Alcatel-Lucent's Wireless Advanced Technologies Laboratory, Whippany, New Jersey;Advanced Wireless Systems Technologies and Algorithms Group, Alcatel-Lucent, Whippany, New Jersey;Alcatel-Lucent's Wireless Systems Technology and Algorithms Group, Whippany, New Jersey;Alcatel-Lucent Wireless Networks Group, Whippany, New Jersey;Wireless Systems Technology and Algorithms Group, Alcatel-Lucent's Mobility Systems unit, Whippany, New Jersey;Alcatel-Lucent's Wireless Systems Technology and Algorithms Group, Whippany, New Jersey

  • Venue:
  • Bell Labs Technical Journal - 4G Wireless Technologies
  • Year:
  • 2009

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Abstract

In this paper, collaborative spatial multiplexing is considered for a system based on IEEE 802.16e. By allowing multiple simultaneous in-sector transmissions on the same time-frequency resources, collaborative spatial multiplexing, also known as collaborative uplink MIMO (cMIMO), increases the peak transmission rates and makes system throughput improvement possible. The objective of this work is to analyze the performance of physical and medium access control (MAC) layers by means of a network-wide simulation so as to enhance system throughput while maintaining other performance metrics such as coverage and post hybrid automatic repeat request (HARQ) error rates. Assuming multiple modes of transmission, e.g., single input-multiple output (SIMO) or multiple input-multiple output (MIMO) are available, this paper describes physical and MAC level techniques related to UL-MIMO, such as receiver algorithms, transmission mode selection, ranking of SIMO-MIMO transmissions, MIMO pairing, HARQ process selection, allocation of bandwidth (burst size) and power, and selection of the modulation and coding scheme. Finally, this paper presents link and system level simulation results that demonstrate that up to 60 percent improvement in average sector throughput is possible for collaborative UL-MIMO without compromising other user performance criteria. © 2009 Alcatel-Lucent.