Uplink Resource Allocation in Cellular Systems: An Energy-Efficiency Perspective

Biral, Andrea; Huang, Howard; Zanella, Andréa; Zorzi, Michele

doi:10.1109/glocom.2015.7417402

Cited by 3 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of recent references describe different strategies for accommodating massive uplink access including algorithms for collision resolution [5], spatial diversity with multiple base antennas [6], load control via pricing algorithms [7], and interference cancellation [8]. Because of possibly limited energy resources of devices in these use cases, another body of work considers both throughput and energy efficiency as metrics [9], [10], [11].…”

Section: A Related Work and Motivationmentioning

confidence: 99%

“…For successful transmission, given an SINR threshold Γ, we require that L n ≤ C(ζ m ), m ∈ M. Using (9), in order to satisfy the capacity constraint, we need to have m i=1…”

Section: Infinite Block Lengthmentioning

confidence: 99%

“…ζ m as a function of K m , is derived from (9). Combining the capacity constraint in (1) with the Chase combiner output (9), and by incorporating (4), we have…”

Section: Optimal Designs For High and Low Snrmentioning

confidence: 99%

See 2 more Smart Citations

Throughput Maximization for Delay-Sensitive Random Access Communication

Malak

Huang

Andrews

2019

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

Future 5G cellular networks supporting ultra-reliable, low-latency communications (URLLC) could employ random access communication to reduce the overhead compared to scheduled access techniques used in 4G networks. We consider a wireless communication system where multiple devices transmit payloads of a given fixed size in a random access fashion over shared radio resources to a common receiver. We allow retransmissions and assume Chase combining at the receiver. The radio resources are partitioned in the time and frequency dimensions, and we determine the optimal partition granularity to maximize throughput, subject to given constraints on latency and outage. In the regime of high and low signal-to-noise ratio (SNR), we derive explicit expressions for the granularity and throughput, first using a Shannon capacity approximation and then using finite block length analysis. Numerical results show that the throughput scaling results are applicable over a range of SNRs. The proposed analytical framework can provide insights for resource allocation strategies in general random access systems and in specific 5G use cases for massive URLLC uplink access.

show abstract

Section: A Related Work and Motivationmentioning

confidence: 99%

“…For successful transmission, given an SINR threshold Γ, we require that L n ≤ C(ζ m ), m ∈ M. Using (9), in order to satisfy the capacity constraint, we need to have m i=1…”

Section: Infinite Block Lengthmentioning

confidence: 99%

See 1 more Smart Citation

Throughput Maximization for Delay-Sensitive Random Access Communication

Malak

Huang

Andrews

2019

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…This algorithm added computational complexity to increase the spectral efficiency. Other works approached the resource allocation problem with a deeper mathematical perspective [6][18] [19]. When the problem is viewed as a dual optimization problem where the throughput needs to be maximized while minimizing energy consumption, the Lagrange equation can be used to solve the problem [6].…”

Section: Related Workmentioning

confidence: 99%