Electrical and Electronic Engineering - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/362

Filters

2020 2
Reset filters

Settings
Statistics
Citations
Author: Dayarathna, Mirinchi Sattambige Shalanika Gangani × Author: Dayarathna, Mirinchi Sattambige × Author: Evans, Jamie × Type: Conference Paper ×

Search Results

Now showing 1 - 2 of 2
  • Item
    Thumbnail Image
    Centralized Scheduling with Sum-Rate optimization in Flexible Half-Duplex Networks
    Dayarathna, S ; Razlighi, M ; Senanayake, R ; Zlatanov, N ; Evans, J (IEEE, 2020-05)
    In this paper, we focus on maximization of the instantaneous sum-rate in flexible half-duplex networks, where nodes have the flexibility to choose to either transmit, receive or be silent in a given time slot. Since the corresponding optimization problem is NP-hard, we design low-cost algorithms that give sub-optimal solutions with good performance. We first consider two existing approximation techniques to simplify the sum-rate optimization problem: arithmetic-geometric means inequality and another utilising the tight lower bound approximation. We then propose a novel pattern search algorithm that performs close to exhaustive search but with significantly lower complexity. Comparing the performance of the proposed algorithm with respect to existing resource allocation techniques, we observe that our proposed algorithm provides significant sum-rate gains.
  • Item
    Thumbnail Image
    Binary Power Optimality for Two Link Full-Duplex Network
    Dayarathna, S ; Senanayake, R ; Evans, J (IEEE, 2020-05)
    In this paper, we analyse the optimality of binary power allocation in a network that includes full-duplex communication links. Considering a network with four communicating nodes, two of them operating in half-duplex mode and the other two in full-duplex mode, we prove that binary power allocation is optimum for the full-duplex nodes when maximizing the sum rate. We also prove that, for half-duplex nodes binary power allocation is not optimum in general. However, for the two special cases, 1) the low signal-to-noise-plus-interference (SINR) regime and, 2) the approximation by the arithmetic mean-geometric mean inequality, binary power allocation is optimum for the approximated sum rate even for the half-duplex nodes. We further analyse a third special case using a symmetric network for which the optimum power allocation is binary, under a sufficient condition. Numerical examples are included to illustrate the accuracy of the results.