Demo Data from EDBT 2026 / reviewers in the wild / expert
Nitin Panwar
dblp:137/8641
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Cellular and mobile networks · 50% Physical-layer communications · 22% Network optimization and economics · 22% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks › mobility management
handover |
0.2 | 1 | 2014 | Class-Based Shared Resource Allocation for Cell-Edge Users in OFDMA Networks · IEEE Trans. Mob. Comput. 2014 |
Cellular and mobile networks
mobility management |
0.2 | 1 | 2014 | Class-Based Shared Resource Allocation for Cell-Edge Users in OFDMA Networks · IEEE Trans. Mob. Comput. 2014 |
Physical-layer communications › multiple access › multicarrier multiple access
OFDMA networks |
0.2 | 1 | 2014 | Class-Based Shared Resource Allocation for Cell-Edge Users in OFDMA Networks · IEEE Trans. Mob. Comput. 2014 |
Network optimization and economics
resource allocation |
0.2 | 1 | 2014 | Class-Based Shared Resource Allocation for Cell-Edge Users in OFDMA Networks · IEEE Trans. Mob. Comput. 2014 |
Cellular and mobile networks › cellular network performance
cell-edge user performance |
0.1 | 1 | 2014 | Class-Based Shared Resource Allocation for Cell-Edge Users in OFDMA Networks · IEEE Trans. Mob. Comput. 2014 |
Internet architecture and protocols
quality of service |
0.1 | 1 | 2014 | Class-Based Shared Resource Allocation for Cell-Edge Users in OFDMA Networks · IEEE Trans. Mob. Comput. 2014 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2protocol design · 0.2load balancing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Class-Based Shared Resource Allocation for Cell-Edge Users in OFDMA NetworksabstractIn this paper, we present a new resource allocation scheme for cell-edge active users to achieve improved performance in terms of a higher system capacity and better quality-of-service (QoS) guarantee of the users, where we utilize the two-dimensional resource allocation flexibility of orthogonal frequency division multiple access (OFDMA) networks. Here, the mobile stations (MSs) at the cell-edge can maintain parallel connections with more than one base station (BS) when it is in their coverage area. A MS, before handoff to a new BS, seeks to utilize additional resources from the other BSs if the BS through which its current session is registered is not able to satisfy its requirements. The handoff procedure is termed as split handoff. The BSs participate in split handoff operation while guaranteeing that they are able to maintain QoS of the existing connections associated with them. In this study, first, we present the proposed shared resource allocation architecture and protocol functionalities in split handoff, and give a theoretical proof of concept of system capacity gain associated with the shared resource allocation approach. Then, we provide a differentiated QoS provisioning approach that accounts for the MS speed, its channel quality, as well as the loads at different BSs. Via extensive simulations in Qualnet, the benefits of the proposed class-based split handoff approach is demonstrated. The results also indicate traffic load balancing property of the proposed scheme in heavy traffic conditions. Chetna Singhal 0001, Swades De, Nitin Panwar, Ravindra Tonde, Pradipta De |
IEEE Trans. Mob. Comput. | 4 |