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Introduction and Progress Report

IP.com Disclosure Number: IPCOM000248169D
Publication Date: 2016-Nov-02
Document File: 23 page(s) / 1M

Publishing Venue

The IP.com Prior Art Database

Related People

Mehrdad Kiamari: AUTHOR

Abstract

• Research Area: – Capacity of interference channel in special cases – Investigating the performance of Device-to-Device communication • Research Topics: – Investigating the performance of Binary power control for Device-to- Device systems – Channel Estimation for Massive MIMO systems • Detailed information about current topic: – obtaining the fraction of capacity in Binary power control to regular power control in two user case – finding a binary DISTRIBUTED scheduling technique which results in obtaining a ratio greater than 1/K (time sharing) • Threshold scheduling technique • ITLinQ technique (finding a set of users in each time-slot that should be active)

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Page 01 of 23

Introduction

Mehrdad Kiamari

PhD student in Electrical Engineering at Communication Sciences Institute (CSI), University of Southern California

Education:

B.Sc. University of Tehran, Tehran, Iran 2007-2011
M.Sc. Sharif University of Technology, Tehran, Iran 2011-2013

Ph.D. University of Southern California, Los Angeles, CA 2014-present


Page 02 of 23


Research Area:


- Capacity of interference channel in special cases


- Investigating the performance of Device-to-Device communication


Research Topics:


- Investigating the performance of Binary power control for Device-to- Device systems


- Channel Estimation for Massive MIMO systems


Detailed information about current topic:


- obtaining the fraction of capacity in Binary power control to regular power control in two user case


- finding a binary DISTRIBUTED scheduling technique which results in obtaining a ratio greater than 1

��(time sharing)

Threshold scheduling technique

ITLinQ technique (finding a set of users in each time-slot that should be active)


Page 03 of 23

Progress Report

By: Mehrdad Kiamari 06/22/2016

Single Threshold Scheduling Two-Threshold scheme

MAC interference channel



Page 04 of 23

Single Threshold Scheduling


System Model

Goal: maximizing sum rate under binary power control

In [1], they claimed by having only direct link, binary scheme can be obtained by considering a threshold for direct link, i.e.

���� = 1 if ℎ����2 ≥ �� 0 else

We can similarly show SINR-based threshold leads to optimal binary solution
Scheduling:

���� = 1 if ℎ����2 ≥ �� ( ℎ����2

���� is the channel between Tx i and Rx j with Rayleigh fading distribution

                 ��≠�� + 1) 0 else


[1] P. de Kerret, S. Lasaulce, D.Gesbert, and U. Salim, "Best-response team power control for the interference channel with local CSI",accepted for publication in IEEE International Conference on Communications (ICC) 2015.


Page 05 of 23

Single Threshold Scheduling


For 2-user case:


�������� �� = �� ��1 + ��2 =

��(log 1 + ��11��1��

��12��2��+1 + log(1 + ��22��2��

��21��1��+1))

After some calculations, we can find sum rate


�������� �� = (1 − ��−��)��−��log (��+1/p)+��−��[��−�� log (��+1/p)+����+1

������(��+1/p) ] +

����+1


We also found the sum rate based on SNR- approach

������(��+1/p)



Page 06 of 23

Single Threshold Scheduling


Comparison of SNR-based scheme with SINR-based scheme

ratio (optimal SNR-Based sum-rate to optimal SINR-based sum-rate)


0.85


0.8


0.75


0.7


0.65


0.6


0.55


0.5


0.45


0.4


0.35 2 4 6 8 10 12 14 16

Number of users


As it can be seen, when k is small our improvement is %100. By increasing k, the improvement decreased to %17



Page 07 of 23

Two-Threshold scheme

•...