wireless-network-transport-capacity

Wireless network transport capacity

Optimally placed nodes under guard-zone interference have transport capacity of square-root order in the number of nodes.

Interference Relay Multiple unicast Capacity Bounds only

Channel and question

Input
Unicast packets originate at fixed nodes in a planar disk of radius \(R>0\). The budget of n nodes counts sources, destinations, and relays; unused nodes are idle.
Output
Each packet reaches its source's chosen destination without error.
Law
A transmission from x to y succeeds on a subchannel if every other simultaneous transmitter z on that subchannel satisfies \(\|z-y\|\ge(1+\Delta)\|x-y\|\), where \(\Delta>0\).
Quantity
Transport capacity \(T_n(W,R,\Delta)\), measured in bit-meters per second.

Criterion. Supremum of the sum of delivered packet bit counts times source-to-destination Euclidean distance, divided by elapsed time, over all permitted placements and finite executions.

  • The node budget n is a nonnegative integer and the total link rate satisfies \(W\ge0\).
  • Node locations, each source's destination, traffic volumes, routes, transmission ranges, and schedules are optimized. Nodes do not move.
  • A finite set of orthogonal subchannels has fixed nonnegative rates summing to at most W bits per second. A node sends to at most one receiver per subchannel at a time.
  • Packets are routed without network coding, may wait at intermediate nodes, and traverse their hops in strictly increasing slots. Per-link bit counts obey the slot duration and subchannel rate.
  • Finite executions start with the packets at their sources and count only fully delivered packets. Repetition gives a sustained transport rate. Schedules carry no information and multicast is not credited.

Current status

\[T_n(W,R,\Delta)=\Theta_\Delta(WR\sqrt n)\]

Main Result 1 gives matching order bounds for fixed positive guard parameter. The disk has area \(\pi R^2\); unit area means \(R=1/\sqrt\pi\). The exact finite-n optimum is not determined by these bounds.

Known results and bounds for Wireless network transport capacity
ResultRelationMethodYear
Lower\(T_n(W,R,\Delta)=\Omega_\Delta(WR\sqrt n)\)Place transmitter–receiver pairs on a separated grid and transmit directly and simultaneously; leave unused nodes idle. Gupta–Kumar, Main Result 1 and Section III.2000
Upper\(T_n(W,R,\Delta)=O_\Delta(WR\sqrt n)\)Protocol inequalities separate receiver guard disks. Area packing and Cauchy–Schwarz bound simultaneous hop distance; route triangle inequalities bound delivered distance. Gupta–Kumar, Theorem 2.1.2000

Open question

Determine the finite-n transport capacity or sharpen its leading constant.

The packing converse and explicit grid construction have different constants.

The order in n is settled for this arbitrary-placement protocol model. Random placement and physical interference require separate models.

Formal verification

Lean coverageFormally stated

The local proof gives explicit nonsharp constants for the published order result, including nonsquare node counts. These constants are from the local construction and enclosing-disk proof, not the paper's displayed constants. The model accounts for integer packet bits, causal routes, subchannels, and delivered endpoint distance.

Claims

  • For n at least 4, R and Delta positive, and W nonnegative, transport capacity lies between W R sqrt(n)/(32(1+Delta)) and 2(1+Delta) W R sqrt(n)/Delta.
    square-root-bounds · capacity bounds · solved · Formally proved · v1
Lean declarations (3)

References

  1. Piyush Gupta and P. R. Kumar (2000). The Capacity of Wireless Networks. IEEE Transactions on Information Theory 46(2), 388–404.

Discussion

Related problems

Independent transmitters on a fully connected fading interference channel achieve K/2 sum degrees of freedom with global causal channel knowledge.

Interference Continuous alphabet Gaussian Additive noise Causal state information Power constraint Multiple unicast Capacity Bounds only
Partially solved \(C_\Sigma(P)=\frac K2\log_2 P+o(\log P)\)

A causal relay assists a source, but decode-forward and the cut-set bound do not coincide in general.

Relay Finite alphabet Discrete memoryless Capacity Bounds only
Open \(R_{\mathrm{DF}}\le C\le R_{\mathrm{cut}}\)

A relay observes a noisy channel output and sends information over a separate noiseless finite-capacity link, but capacity is unknown in general.

Relay Finite alphabet Discrete memoryless Capacity Bounds only
Open \(R_{\mathrm{CF}}\le C(R_0)\le C_{\mathrm{cut}}\)

Each input bit is independently deleted without an erasure marker; the exact capacity is unknown for every nontrivial deletion probability.

Point-to-point Binary Finite alphabet Memory Deletion Capacity Bounds only
Open \(0.1221(1-d)<C_{\mathrm{del}}(d)\le0.3578(1-d)\)