By Hrishikesh Venkataraman, Ramona Trestian

ISBN-10: 1498747108

ISBN-13: 9781498747103

C-RAN and virtualized Small cellphone know-how poses a number of significant examine demanding situations. those comprise dynamic source allocation, self-configuration within the baseband pool, excessive latency in info move among radio unit and baseband unit, the price of information supply, excessive quantity of knowledge within the community, software program networking points, strength power discounts, 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 following iteration RAN structure and surveys the coexistence of SDN, C-RAN and Small Cells strategies proposed within the literature at various levels.

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Additional resources for 5G radio access networks : centralized RAN, cloud-RAN, and virtualization of small cells

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The second option, denoted as a virtual SCM , consists of the deployment of the SCM entirely at the SCeNBces, sharing a dedicated part of computational capacity designated for the processing of users’ tasks. Furthermore, we propose a protocol enabling the exchange of the required management information among all involved entities. Subsequently, we analyze the signaling overhead needed to handle a new computation request. Based on this analysis, we compare both proposed options with the state-of-the-art centralized deployment of the SCM in terms of signaling delay and load introduced by the computation management.

Also let l = 1. If γ k ≥ γ k Then pk (t1 ) = min( pk∗ , pmax ) . else Remove user k in this iteration and continue the algorithm in the next iteration [30]. end For. end For. Theorem 2: The proposed Algorithm 1 converges to a Nash equilibrium of the NPGP. Furthermore, it is the smallest equilibrium p S , in the set of Nash equilibria. The proof can be found in [31], which implies that the Nash equilibrium in the proposed NPGP exists and can be reached from either the top or the bottom of the strategy space with Algorithm 1.

UE, represented by smartphones, tablets, and so on, has limited computing power constrained by the device’s central processing unit (CPU). Besides the limited computational power, these devices also suffer from a short battery life. The battery could be depleted in a short time by services and applications that have high computational requirements. Examples of such applications are speech/video/image processing, augmented/virtual reality, or games. A suitable option for extending battery life is to offload computationally demanding applications from the UE to a cloud [2] by means of the mobile cloud computing (MCC) concept.

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5G radio access networks : centralized RAN, cloud-RAN, and virtualization of small cells by Hrishikesh Venkataraman, Ramona Trestian

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