Sparsity-Cognizant Multiple-Access Schemes for Large Wireless Networks With Node Buffers
Ahmed El Shafie, Naofal Al-Dhahir, Ridha Hamila

TL;DR
This paper introduces sparsity-aware multiple-access schemes for large wireless networks that optimize power efficiency by leveraging buffer state information and duplex capabilities, applicable to both half- and full-duplex nodes.
Contribution
It develops novel power-efficient multiple-access schemes based on buffer states and duplex capabilities, with closed-form solutions and distributed implementation strategies.
Findings
Time duration assignment proportional to square-root of buffer occupancy.
Full-duplex capability enhances data transmission and enables distributed schemes.
Convex optimization and approximate solutions simplify resource allocation.
Abstract
This paper proposes efficient multiple-access schemes for large wireless networks based on the transmitters' buffer state information and their transceivers' duplex transmission capability. First, we investigate the case of half-duplex nodes where a node can either transmit or receive in a given time instant. The network is said to be naturally sparse if the number of nonempty-queue transmitters in a given frame is much smaller than the number of users, which is the case when the arrival rates to the queues are very small and the number of users is large. If the network is not naturally sparse, we design the user requests to be sparse such that only few requests are sent to the destination. We refer to the detected nonempty-queue transmitters in a given frame as frame owners. Our design goal is to minimize the nodes' total transmit power in a given frame. In the case of unslotted-time…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cognitive Radio Networks and Spectrum Sensing · Sparse and Compressive Sensing Techniques
