Paper Info
Title
Power-Efficient System Design for Cellular-Based Machine-to-Machine Communications
Abstract
The growing popularity of Machine-to-Machine (M2M) communications in cellular networks is driving the need to optimize networks based on the characteristics of M2M, which are significantly different from the requirements that current networks are designed to meet. First, M2M requires large number of short sessions as opposed to small number of long lived sessions required by the human generated traffic. Second, M2M constitutes a number of battery operated devices that are static in locations such as basements and tunnels, and need to transmit at elevated powers compared to the traditional devices. Third, replacing or recharging batteries of such devices may not be feasible. All these differences highlight the importance of a systematic framework to study the power and energy optimal system design in the regime of interest for M2M, which is the main focus of this paper. For a variety of coordinated and uncoordinated transmission strategies, we derive results for the optimal transmit power, energy per bit, and the maximum load supported by the base station, leading to the following design guidelines: (i) frequency division multiple access (FDMA), including equal bandwidth allocation, is sum-power optimal in the asymptotically low spectral efficiency regime, (ii) while FDMA is the best practical strategy overall, uncoordinated code division multiple access (CDMA) is almost as good when the base station is lightly loaded, (iii) the value of optimization within FDMA is not significant in the regime of interest for M2M.
Year
DOI
Venue
2013
10.1109/TWC.2013.100713.130025
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
base stations,payloads,bandwidth,cellular network,signal to noise ratio,resource management
Journal
abs/1301.0859
Issue
ISSN
Citations 
11
1536-1276
38
PageRank 
References 
Authors
1.59
12
4
Name
Order
Citations
PageRank
Dhillon Harpreet S.13096180.88
Howard C. Huang225134.55
Harish Viswanathan347768.86
Reinaldo A. Valenzuela41642254.84