Issue No. 02 - Feb. (2014 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2012.256
Dan J. Dechene , IBM Semiconductor Research and Development Center, Hopewell Junction
Abdallah Shami , The University of Western Ontario, London
In this paper, we propose a framework for energy efficient resource allocation in multiuser localized SC-FDMA with synchronous HARQ constraints. Resource allocation is formulated as a two-stage problem where resources are allocated in both time and frequency. The impact of retransmissions on the time-frequency problem segmentation is handled through the use of a novel block scheduling interval specifically designed for synchronous HARQ to ensure uplink users do not experience ARQ blocking. Using this framework, we formulate the optimal margin adaptive allocation problem, and based on its structure, we propose two suboptimal approaches to minimize average power allocation required for resource allocation while attempting to reduce complexity. Results are presented for computational complexity and average power allocation relative to system complexity and data rate, and comparisons are made between the proposed optimal and suboptimal approaches.
Resource management, Automatic repeat request, Signal to noise ratio, OFDM, Time frequency analysis, Scheduling algorithms,resource allocation, SC-FDMA, energy efficiency, margin adaptive
Dan J. Dechene, Abdallah Shami, "Energy-Aware Resource Allocation Strategies for LTE Uplink with Synchronous HARQ Constraints", IEEE Transactions on Mobile Computing, vol. 13, no. , pp. 422-433, Feb. 2014, doi:10.1109/TMC.2012.256