Computer Science – Information Theory
Scientific paper
2005-08-22
Computer Science
Information Theory
12 pages,2 figures
Scientific paper
Throughput capacity is a critical parameter for the design and evaluation of ad-hoc wireless networks. Consider n identical randomly located nodes, on a unit area, forming an ad-hoc wireless network. Assuming a fixed per node transmission capability of T bits per second at a fixed range, it has been shown that the uniform throughput capacity per node r(n) is Theta((T)/(sqrt{n log n})), a decreasing function of node density n. However an alternate communication model may also be considered, with each node constrained to a maximum transmit power P_0 and capable of utilizing W Hz of bandwidth. Under the limiting case W rightarrow infinity, such as in Ultra Wide Band (UWB) networks, the uniform throughput per node is O ((n log n)^{(alpha-1}/2}) (upper bound) and Omega((n^{(alpha-1)/2})/((log n)^{(alpha +1)/2})) (achievable lower bound). These bounds demonstrate that throughput increases with node density $n$, in contrast to previously published results. This is the result of the large bandwidth, and the assumed power and rate adaptation, which alleviate interference. Thus, the effect of physical layer properties on the capacity of ad hoc wireless networks is demonstrated. Further, the promise of UWB as a physical layer technology for ad-hoc networks is justified.
Negi Rohit
Rajeswaran Arjunan
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