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Future wireless communication systems require efficient and flexible basebandreceivers. Meaningful efficiency metrics are key for design space explorationto quantify the algorithmic and the implementation complexity of a receiver.Most of the current established efficiency metrics are based on countingoperations, thus neglecting important issues like data and storage complexity.In this paper we introduce suitable energy and area efficiency metrics whichresolve the afore-mentioned disadvantages. These are decoded information bitper energy and throughput per area unit. Efficiency metrics are assessed byvarious implementations of turbo decoders, LDPC decoders and convolutionaldecoders. New exploration methodologies are presented, which permit anappropriate benchmarking of implementation efficiency, communicationsperformance, and flexibility trade-offs. These exploration methodologies arebased on efficiency trajectories rather than a single snapshot metric as donein state-of-the-art approaches.

On Complexity, Energy- and Implementation-Efficiency of Channel Decoders