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Fundamental limits of random access communication with retransmissions | IEEE Conference Publication | IEEE Xplore

Fundamental limits of random access communication with retransmissions


Abstract:

We consider a single cell wireless uplink in which randomly arriving devices transmit their payload to a receiver. Given SNR per user, payload size per device, a fixed la...Show More

Abstract:

We consider a single cell wireless uplink in which randomly arriving devices transmit their payload to a receiver. Given SNR per user, payload size per device, a fixed latency constraint T, total available bandwidth W, i.e., total symbol resources is given by N = TW. The total bandwidth W is evenly partitioned into B bins. Each time slot of duration T is split into a maximum number of retransmission attempts M. Hence, the N resources are partitioned into N/MB resources each bin per retransmission. We characterize the maximum average rate or number of Poisson arrivals that can successfully complete the random access procedure such that the probability of outage is sufficiently small. We analyze the proposed setting for i) noise-limited regime and ii) interference-limited regime. We show that in the noise-limited regime the devices share the resources, and in the interference-limited regime, the resources split such that devices do not experience any interference. We then incorporate Rayleigh fading to model the channel power gain distribution. Although the variability of the channel causes a drop in the number of arrivals that can successfully complete the random access phase, similar scaling results extend to the Rayleigh fading case.
Date of Conference: 21-25 May 2017
Date Added to IEEE Xplore: 31 July 2017
ISBN Information:
Electronic ISSN: 1938-1883
Conference Location: Paris, France

I. Introduction

Machine-to-machine (M2M) applications are rapidly growing, and will become an increasingly important source of traffic and revenue in cellular networks [1]. Unlike most human generated or consumed traffic, M2M is often characterized by a very large number of small transactions. The LTE air interface design for high-data-rate applications may not effectively support reliable and low-latency M2M communications with a vast number of devices. Emerging examples include Internet of Things (IoT) sensor [2] and time of arrival measurements [3], smart grids for power distribution automation, industrial manufacturing, control and automation applications [4], and traffic safety, and monitoring of materials and wireless control of industrial plants [5].

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References

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