Energy-efficiency of Massive Random Access with Individual Codebook
Junyuan Gao, Yongpeng Wu, and Wenjun Zhang

TL;DR
This paper analyzes the energy efficiency of massive random access in wireless networks with individual codebooks, deriving bounds and comparing schemes to optimize power use for large-scale connectivity.
Contribution
It provides new bounds on energy-per-bit for massive random access with individual codebooks, considering scenarios with and without channel state information.
Findings
TDMA is energy-inefficient at high UE density
Multi-user interference can be canceled below a critical density
Energy-per-bit with no-CSI is close to that with CSI
Abstract
The massive machine-type communication has been one of the most representative services for future wireless networks. It aims to support massive connectivity of user equipments (UEs) which sporadically transmit packets with small size. In this work, we assume the number of UEs grows linearly and unboundedly with blocklength and each UE has an individual codebook. Among all UEs, an unknown subset of UEs are active and transmit a fixed number of data bits to a base station over a shared-spectrum radio link. Under these settings, we derive the achievability and converse bounds on the minimum energy-per-bit for reliable random access over quasi-static fading channels with and without channel state information (CSI) at the receiver. These bounds provide energy-efficiency guidance for new schemes suited for massive random access. Simulation results indicate that the orthogonalization scheme…
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Taxonomy
TopicsWireless Body Area Networks · IoT Networks and Protocols · Wireless Communication Security Techniques
