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Throughput Maximization in Cloud-Radio Access Networks using Cross-Layer Network Coding

Al-Abiad, Mohammed S. and Douik, Ahmed and Sorour, Sameh and Hossain, Jahangir (2020) Throughput Maximization in Cloud-Radio Access Networks using Cross-Layer Network Coding. IEEE Transactions on Mobile Computing . ISSN 1536-1233. (In Press)

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Cloud radio access networks (C-RANs) are promising paradigms for the fifth-generation (5G) networks due to their interference management capabilities. In a C-RAN, a central processor (CP) is responsible for coordinating multiple Remote Radio Heads (RRHs) and scheduling users to their radio resource blocks (RRBs). In this paper, we develop a novel cross-layer network coding (CLNC) approach that proposes to optimize RRH's transmit powers and user's rates in making the coding decisions. As such, cross-layer throughput of the network is maximized. The joint user scheduling, file encoding, and power adaptation problem is solved by designing a subgraph for each RRB, in which each vertex represents potential user-RRH associations, encoded files, transmission rates, and power levels (PLs) for one RRB. It is then shown that the C-RAN throughput maximization problem is equivalent to a maximum-weight clique problem over the union of all such subgraphs, called herein the CRAN-CLNC graph. Numerical results are provided to attest the effectiveness of the proposed solutions against the existing algorithms in the literature.

Item Type:Article
Related URLs:
URLURL TypeDescription
Al-Abiad, Mohammed S.0000-0001-6633-0799
Douik, Ahmed0000-0001-7791-9443
Sorour, Sameh0000-0002-3936-7833
Additional Information:© 2020 IEEE.
Funding AgencyGrant Number
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
Subject Keywords:Cloud radio access networks, coordinated scheduling, cross-layer network coding, file streaming, power allocation, time- critical applications
Record Number:CaltechAUTHORS:20200730-143942554
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104660
Deposited By: George Porter
Deposited On:31 Jul 2020 14:14
Last Modified:31 Jul 2020 14:14

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