Information Technology Reference
In-Depth Information
Tabl e 1.
Performance characteristics of the architectures
Parameters
Architecture 1 Architecture 2
Core Size (
μm
2
)
35244.8
34490
Critical Path (ns)
8.2
10.2
Total Power (
μ
W)
26.04
25.46
of architecture A2 was converted into Verilog code by the Bluespec compiler and
the flow is same for both the designs. One of the major advantages of A2 is that
any block can be replaced without modifications to the control logic of the other
blocks.
The interleaver consumes the most power (around 16
μ
W for both archi-
tectures) due to the two 192-bit banks and its associated address generation
logic. It accounts for about 70 % of the total power consumption in both the
architectures. In architecture A1, the interleaver block has a latency of 192 clock
cycles and 40 bit PHR is inserted before the interleaver output such that the
overall latency of the design reduces to 152 clock cycles. In architecture A2, the
maximum latency is 192 bits, while for any thing less than this, it becomes a
multiple of 63.
5Con lu on
In this paper a low power and high energy eciency baseband transmitter has
been implemented for WBAN. The design includes a low complexity physical
layer which is compliant to the standard IEEE 802.15.6. As WBAN mostly deals
with medical data, highly reliable communication is essential which is provided
by the low power forward error correction block. Two different architectures for
UWB-PHY transmitter baseband were designed, synthesized, and compared.
The two architectures have been implemented in 0.13
μ
m CMOS technology
targetting a data rate of 487.5 kbps and consuming only 26
μ
Wpower.
References
1. Patel, M., Wang, J.: Applications, challenges, and prospective in emerging body
area networking technologies. IEEE Wireless Communications 17, 80-88 (2010)
2. Cao, H., Leung, V., Chow, C., Chan, H.: Enabling technologies for wireless body
area networks: A survey and outlook. IEEE Communications Magazine 47, 84-93
(2009)
3. Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., Leung, V.: Body Area Networks-A
Survey. Springer publication (2010)
4. Pantelopoulos, A., Bourbakis, N.: A survey on wearable sensor-based systems for
health monitoring and prognosis. IEEE Transactions on Systems, Man, and Cyber-
netics, Part C: Applications and Reviews 40, 1-12 (2010)
5. IEEE Computer Society: IEEE standard for local and metropolitan area networks
- part 15.6: Wireless body area networks. IEEE Std 802.15.6-2012, 1-271 (2012)
