Joint Multi-Cell Resource Allocation Using Pure Binary-Integer Programming for LTE Uplink
- 1 May 2014
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2014 IEEE 79th Vehicular Technology Conference (VTC Spring)
Abstract
Due to high system capacity requirement, 3GPP Long Term Evolution (LTE) is likely to adopt frequency reuse factor 1 at the cost of suffering severe inter-cell interference (ICI). One of combating ICI strategies is network cooperation of resource allocation (RA). For LTE uplink RA, requiring all the subcarriers to be allocated adjacently complicates the RA problem greatly. This paper investigates the joint multicell RA problem for LTE uplink. We model the uplink RA and ICI mitigation problem using pure binary-integer programming (BIP), with integrative consideration of all users' channel state information (CSI). The advantage of the pure BIP model is that it can be solved by branch- and- bound search (BBS) algorithm or other BIP solving algorithms, rather than resorting to exhaustive search. The system-level simulation results show that it yields 14.83% and 22.13% gains over single-cell optimal RA in average spectrum efficiency and 5th percentile of user throughput, respectively.Keywords
This publication has 10 references indexed in Scilit:
- Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based ApproachIEEE Journal on Selected Areas in Communications, 2013
- A Generic Mathematical Model Based on Fuzzy Set Theory for Frequency Reuse in Cellular NetworksIEEE Journal on Selected Areas in Communications, 2013
- Joint User Pairing and Resource Allocation for LTE Uplink TransmissionIEEE Transactions on Wireless Communications, 2012
- An overview of cooperative communicationsIEEE Communications Magazine, 2012
- An energy efficiency power and sub-carrier allocation for the downlink multi-user CoMP in multi-cell systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Polynomial-Complexity Optimal Resource Allocation Framework for Uplink SC-FDMA SystemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Cooperative interference-aware joint scheduling for the 3GPP LTE uplinkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Interference management for 4G cellular standards [WIMAX/LTE UPDATEIEEE Communications Magazine, 2010
- Optimal resource allocation in uplink SC-FDMA systemsIEEE Transactions on Wireless Communications, 2009
- Information capacity and power control in single-cell multiuser communicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002