PROJECT TITLE :

Joint Power Control and Fronthaul Rate Allocation for Throughput Maximization in OFDMA-Based Cloud Radio Access Network

ABSTRACT:

The performance of cloud radio access network (C-RAN) is constrained by the limited fronthaul link capability under future heavy data traffic. To tackle this downside, extensive efforts are devoted to style efficient signal quantization/compression techniques within the fronthaul to maximise the network throughput. But, most of the previous results are primarily based on data-theoretical quantization ways, which are arduous to implement practically due to the high complexity. In this paper, we tend to propose using practical uniform scalar quantization in the uplink communication of an orthogonal frequency division multiple access (OFDMA) based C-RAN system, where the mobile users are assigned with orthogonal sub-carriers for transmission. In explicit, we have a tendency to study the joint wireless power control and fronthaul quantization style over the sub-carriers to maximise the system throughput. Economical algorithms are proposed to unravel the joint optimization downside when either info-theoretical or practical fronthaul quantization methodology is applied. We show that the fronthaul capability constraints have important impact to the optimal wireless power control policy. Thence, the joint optimization shows important performance gain compared with optimizing only wireless power control or fronthaul quantization. Besides, we have a tendency to also show that the proposed easy uniform quantization theme performs very shut to the throughput performance higher sure, and in fact overlaps with the upper bound when the fronthaul capacity is sufficiently giant. Overall, our results reveal practically achievable throughput performance of C-RAN for its efficient deployment in the next-generation wireless communication systems.


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