Entropy 2013, 15(2), 678-697; doi:10.3390/e15020678

Capacity Region of a New Bus Communication Model

1,* email, 3email, 2email and 2email
Received: 11 November 2012; in revised form: 17 November 2012 / Accepted: 7 February 2013 / Published: 18 February 2013
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In this paper, we study a new bus communication model, where two transmitters wish to send their corresponding private messages and a common message to a destination, while they also wish to send the common message to another receiver connected to the same wire. From an information-theoretical point of view, we first study a general case of this new model (with discrete memoryless channels). The capacity region composed of all achievable (R0,R1,R2) triples is determined for this general model, where R1 and R2 are the transmission rates of the private messages and R0 is the transmission rate of the common message. Then, the result is further explained via the Gaussian example. Finally, we give the capacity region for the new bus communication model with additive Gaussian noises and attenuation factors. This new bus communication model captures various communication scenarios, such as the bus systems in vehicles, and the bus type of communication channel in power line communication (PLC) networks.
Keywords: bus communication system; capacity region; multiple-access channel; degraded broadcast channel; Gaussian broadcast channel; power line communication networks
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MDPI and ACS Style

Dai, B.; Vinck, A.J.H.; Luo, Y.; Zhuang, Z. Capacity Region of a New Bus Communication Model. Entropy 2013, 15, 678-697.

AMA Style

Dai B, Vinck AJH, Luo Y, Zhuang Z. Capacity Region of a New Bus Communication Model. Entropy. 2013; 15(2):678-697.

Chicago/Turabian Style

Dai, Bin; Vinck, A. J. H.; Luo, Yuan; Zhuang, Zhuojun. 2013. "Capacity Region of a New Bus Communication Model." Entropy 15, no. 2: 678-697.

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