Download 5G radio access networks : centralized RAN, cloud-RAN, and by Hrishikesh Venkataraman, Ramona Trestian PDF

By Hrishikesh Venkataraman, Ramona Trestian

C-RAN and virtualized Small telephone know-how poses numerous significant examine demanding situations. those contain dynamic source allocation, self-configuration within the baseband pool, excessive latency in facts move among radio unit and baseband unit, the price of facts supply, excessive quantity of information within the community, software program networking elements, strength power discount rates, safety matters, privateness of user’s own facts at a distant position, obstacles of virtualized atmosphere, and so forth. This booklet offers deeper insights into the subsequent new release RAN structure and surveys the coexistence of SDN, C-RAN and Small Cells options proposed within the literature at assorted levels.

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The SCM can be collocated with a gateway or router close to the SCeNBs or could be implemented as a standalone unit). A disadvantage of this solution is a constrained computing power of subordinated SCeNBces, as only the SCeNBces topologically underlying the SCM can be clustered and their computing power can be virtually merged. On the other hand, the SCM closer to the users significantly reduces signaling overhead between the network edge (E-UTRAN) and the EPC. Obviously, both of the aforementioned options (and their minor modifications as presented in [6]) introduce some drawbacks, which limit the exploitability and deployment of the SCC.

Cai et al, A joint game-theoretic interference coordination approach in uplink multi-cell OFDMA networks, Wireless Personal Communications , Vol. 80, No. 3, pp. 1203–1215, February 2015. Y. S. Soh, T. Q. S. Quek, M. Kountouris, Energy efficient heterogeneous cellular networks, IEEE Journal on Selected Areas in Communications, Vol. 31, No. 5, pp. 840– 850, 2013. 27. C. U. Saraydar, N. B. Mandayam, D. J. Goodman, Efficient power control via pricing in wireless data networks, IEEE Transactions on Communications , Vol.

This scheme is processed by the CPE to manage all of the available resources uniformly. Since the optimization problem of the centralized resource allocation has a large and complex search space, the genetic algorithm (GA) is implemented to obtain near-optimal solutions with a relatively fast convergence speed. Based on the GA, a chromosome, which is a two-dimension-integer matrix, is used to represent the potential resource allocation solution. Each row of the matrix represents the resource allocation strategy for the specific user.

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