© The Institution of Engineering and Technology
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.
References
-
-
1)
-
9. Gomez, I., Marojevic, V., Gelonch, A.: ‘Processing-to-amplifier power ratio for energy efficient communications’, Electron. Lett., 2012, 48, (12), pp. 732–734 (doi: 10.1049/el.2011.3679).
-
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. 1134–1139.
-
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. 213–214.
-
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. 457–461.
-
5)
-
1. GSMA: ‘Mobile's green manifesto 2012’, , June 2012.
-
6)
-
7. Correia, L., Zeller, D., Blume, O., et al: ‘Challenges and enabling technologies for energy aware mobile radio networks’, IEEE Commun. Mag., 2010, 48, (11), pp. 66–72 (doi: 10.1109/MCOM.2010.5621969).
-
7)
-
24. Cui, S., Goldsmith, A., Bahai, A.: ‘Energy-constrained modulation optimization’, IEEE Trans Wirel. Commun., 2005, 4, (5), pp. 2349–2360 (doi: 10.1109/TWC.2005.853882).
-
8)
-
12. Marojevic, V., Gomez, I., Gelonch, A.: ‘Cognitive resource management for all wireless access layers’, Veh. Tech. Mag., 2012, 7, (2), pp. 100–106 (doi: 10.1109/MVT.2012.2190190).
-
9)
-
6. Gomez-Miguelez, I., Marojevic, V., Gelonch, A.: ‘Energy-efficient water-filling with ordered statistics’, Trans. Veh. Technol., 2014, 63, (1), pp. 428–432 (doi: 10.1109/TVT.2013.2271647).
-
10)
-
3. Ge, X., Yang, J., Gharavi, H., et al: ‘Energy efficiency challenges of 5G small cell networks’, Commun. Mag., 2017, 55, (5), pp. 184–191 (doi: 10.1109/MCOM.2017.1600788).
-
11)
-
2. Miao, G., Himayat, N., Li, G.: ‘Energy-efficient link adaptation in frequency-selective channels’, IEEE Trans. Commun., 2010, 58, (2), pp. 545–554 (doi: 10.1109/TCOMM.2010.02.080587).
-
12)
-
7. Gomez-Miguelez, I., Marojevic, V., Gelonch, A.: ‘Link adaptation for energy-efficient transmission with receiver CSI’, Commun. Lett., 2012, 16, (9), pp. 1412–1415 (doi: 10.1109/LCOMM.2012.072012.120522).
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.3476
Related content
content/journals/10.1049/el.2017.3476
pub_keyword,iet_inspecKeyword,pub_concept
6
6