Title :
Architecture for Energy Efficient Sphere Decoding
Author :
Jenkal, Ravi ; Hua, Hao ; Sule, Ambarish ; Davis, W. Rhett
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC
Abstract :
Sphere decoding has become a popular implementation of MIMO detection due to its improved performance at lower hardware complexity. ASIC implementations have proven the feasibility of this method but fail to effectively address the issue of power efficiency. In this work, we propose an improved architecture that aims to exploit a combination of a deeper pipeline and the use of single-port read and write memories to increase the energy efficiency (bits/sec/mW) of the implementation. We see a 30% and 80% increase in memory and logic energy efficiencies when compared to an unpipelined version of the implementation in 0.18 mu technology.
Keywords :
MIMO communication; application specific integrated circuits; decoding; signal detection; ASIC; MIMO detection; energy efficient sphere decoding; logic energy efficiencies; memory energy efficiencies; Costs; Energy efficiency; Hardware; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Pipeline processing; Receiving antennas; Signal processing algorithms; Transmitting antennas;
Conference_Titel :
SOC Conference, 2006 IEEE International
Conference_Location :
Taipei
Print_ISBN :
0-7803-9781-9
Electronic_ISBN :
0-7803-9782-7
DOI :
10.1109/SOCC.2006.283895