NDLI: Rate Scaling Laws in Multicell Networks Under Distributed Power Control and User Scheduling

Content Provider	IEEE Xplore Digital Library
Author	Gesbert, D. Kountouris, M.
Copyright Year	1963
Abstract	We analyze the sum rate performance in multicell single-hop networks where access points are allowed to cooperate in terms of a joint resource allocation. The resource allocation policies considered here combine power control and user scheduling. Although promising from a conceptual point of view, the optimization of the sum of per-link rates hinges on tough issues such as computational complexity and the requirement for heavy receiver-to-transmitter and cell-to-cell channel information feedback. In this paper, however, we show that simple distributed algorithms can scale optimally in terms of rates, when the number of users per cell U is allowed to grow large. We use extreme value theory to provide scaling laws for upper and lower bounds for the network sum-rate (sum of single user rates over all cells), corresponding to zero-interference and worst-case interference scenarios. We show that the scaling is either dominated by path loss statistics or by small-scale fading, depending on the regime and user location scenario. A surprising result is that the well known log log U rate behavior exhibited in i.i.d. fading channels with maximum rate schedulers is transformed into a log U behavior when path loss is accounted for. Additionally, by showing that upper and lower rate bounds behave in fact identically, asymptotically, our results suggest, remarkably, that the impact of multicell interference on the rate (in terms of scaling) actually vanishes asymptotically, when appropriate resource allocation policies are used.
Sponsorship	IEEE Information Theory Society
Starting Page	234
Ending Page	244
Page Count	11
File Size	486813
File Format	PDF
ISSN	00189448
Volume Number	57
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Resource management Signal to noise ratio Fading Power control Joints Encoding sum rate scaling Cellular networks cooperation coordination distributed extreme value theory interference scheduling
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Joint power control and user scheduling in multicell wireless networks: Capacity scaling laws

Asymptotic Scheduling Gains in Point-to-Multipoint Cognitive Networks

Beyond Scaling Laws: On the Rate Performance of Dense Device-to-Device Wireless Networks

Optimality of Binary Power Control for the Single Cell Uplink

Distributed Inter-Cell Interference Mitigation Via Joint Scheduling and Power Control Under Noise Rise Constraints

Sum-Rate Maximization for Multicell OFDMA Systems

Distributed power allocation for interfering wireless links based on channel information partitioning

Distributed Rate Adaptation and Power Control in Fading Multiple Access Channels

Sum rate maximization via joint scheduling and link adaptation for interference-coupled wireless systems

Rate Scaling Laws in Multicell Networks Under Distributed Power Control and User Scheduling

Similar Documents

Joint power control and user scheduling in multicell wireless networks: Capacity scaling laws

Asymptotic Scheduling Gains in Point-to-Multipoint Cognitive Networks

Beyond Scaling Laws: On the Rate Performance of Dense Device-to-Device Wireless Networks

Optimality of Binary Power Control for the Single Cell Uplink

Distributed Inter-Cell Interference Mitigation Via Joint Scheduling and Power Control Under Noise Rise Constraints

Sum-Rate Maximization for Multicell OFDMA Systems

Distributed power allocation for interfering wireless links based on channel information partitioning

Distributed Rate Adaptation and Power Control in Fading Multiple Access Channels

Sum rate maximization via joint scheduling and link adaptation for interference-coupled wireless systems

Rate Scaling Laws in Multicell Networks Under Distributed Power Control and User Scheduling