access icon free Analysis of wireless transceiver power tradeoffs for green communications

The energy optimisation problem of wireless communications as a power consumption tradeoff between the transmitter and receiver is considered. The goal is finding the right balance between the transmission power and the amount of digital signal processing at the receiver. The problem then consists of deriving the optimal signal-to-noise ratio. Receiver cost functions from real implementations are defined and the constrained optimisation problem for single and multiuser links is solved. The numerical analysis shows that there is an optimal ratio between transmission power and signal processing which can lead to a 30% power reduction for noise limited systems.

Inspec keywords: radio transceivers; radio links; signal processing; optimisation; numerical analysis

Other keywords: wireless transceiver power analysis; receiver cost function; digital signal processing; energy optimisation problem; power consumption; noise limited system; constrained optimisation problem; wireless communication; transmitter; signal-to-noise ratio; green communication; numerical analysis

Subjects: Other numerical methods; Signal processing and detection; Radio links and equipment; Optimisation techniques

References

    1. 1)
    2. 2)
      • 10. Gomez, I., Marojevic, V., Bracke, J., et al: ‘Performance and overhead analysis of ALOE middleware for SDR’. IEEE Military Communications Conf., San Jose, CA, USA, 31 October–3 November 2010, pp. 11341139.
    3. 3)
      • 8. Naessens, F., Derudder, V., Cappelle, H., et al: ‘A 10.37 mm2 675 mW reconfigurable LDPC and turbo encoder and decoder for 802.11n, 802.16e and 3GPP-LTE’. IEEE Symp. VLSI Circuits (VLSIC), 16–18 June 2010, pp. 213214.
    4. 4)
      • 11. Grover, P., Woyach, K.A., Palaiyanur, H., et al: ‘An interference-aware perspective on decoding power’. 6th Int. Symp. Turbo Codes & Iterative Information Processing, Brest, France, 6–10 September 2010, pp. 457461.
    5. 5)
      • 1. GSMA: ‘Mobile's green manifesto 2012’, White Paper, June 2012.
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.3476
Loading

Related content

content/journals/10.1049/el.2017.3476
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading