Ad Hoc Networking With Cost-Effective Infrastructure: Generalized Capacity Scaling
Cheol Jeong, Won-Yong Shin

TL;DR
This paper analyzes the capacity scaling of large hybrid wireless networks with infrastructure, considering rate-limited wired backhaul links, and identifies the fundamental limits and optimal routing protocols under various scaling regimes.
Contribution
It introduces a generalized capacity scaling law for hybrid networks with scalable infrastructure and derives the minimum backhaul rate for optimal capacity.
Findings
Derived the minimum backhaul rate for optimal capacity scaling.
Identified three information-theoretic operating regimes based on scaling parameters.
Matched the upper bound with achievable throughput under realistic backhaul constraints.
Abstract
Capacity scaling of a large hybrid network with unit node density, consisting of wireless ad hoc nodes, base stations (BSs) equipped with multiple antennas, and one remote central processor (RCP), is analyzed when wired backhaul links between the BSs and the RCP are rate-limited. We deal with a general scenario where the number of BSs, the number of antennas at each BS, and the backhaul link rate can scale at arbitrary rates relative to (i.e., we introduce three scaling parameters). We first derive the minimum backhaul link rate required to achieve the same capacity scaling law as in the infinite-capacity backhaul link case. Assuming an arbitrary rate scaling of each backhaul link, a generalized achievable throughput scaling law is then analyzed in the network based on using one of pure multihop, hierarchical cooperation, and two infrastructure-supported routing protocols, and…
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Taxonomy
TopicsMobile Ad Hoc Networks · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
