Turbo Codes Simulations

Lan and Tewfik [3] have said that mobile communications and computation platforms must rely on batteries for their operation. Unlike other enabling technologies for mobile information systems, the specific energy of commercially available rechargeable batteries has improved at only about 2 percent per year over the past half century. Since frequent recharging is not a practical solution, wireless multimedia should be optimized for low energy consumption. The use of FEC (Forward Error Control) can decrease the transmit power. However, the additional processing required will increase the energy of computation [10]. Recently, turbo codes have attracted a great deal of interest since their discovery in 1993. Turbo codes have a performance near Shannon limit on the AWGN (Additive White Gaussian Noise) channel condition, but the problem is high complexity. This paper focuses on two perspectives. One is BER (Bit Error Rate) over SNR (Signal to Noise Ratio), which is related to transmit power perspective. The other is computation energy bit over the number of decoding iteration, which is processing power perspective. My simulation results show that increasing decoding iteration decreases bit error rate, but processing power linearly increase with the number of decoding iteration. This paper is organized as follows. In the next section, I present the turbo code, and the channel condition. The subsequent section describes the simulation results. Finally, future work will be followed.